supply chain network design problem.
|
|
- Amy Strickland
- 6 years ago
- Views:
Transcription
1 Ieaioal Joual o Iusial Egieeig & Poucio Reseach (016) Decebe 016 Volue 7 Nube DOI: /ijie h://ijiepr..ius.ac.i/ Cosieig Picig Poble i a Dyaic a Iegae Desig o Susaiable Close-loo Suly Chai Newok Aash Nobai Ai Saa Kheikhah* & Maya Esaeili Aash Nobai Iusial Egieeig Deae Faculy o Egieeig Bu-Ali Sia Uivesiy Aisaa Kheikhah Iusial Egieeig Deae Faculy o Egieeig Bu-Ali Sia Uivesiy Maya Esaeili Iusial Egieeig Deae Faculy o Egieeig Al-Zaha Uivesiy KEYWORDS Suly Chai Newok Desig Susaiabiliy Log-e a Sho- e Decisios e-cosai Meho Ieialis Coeiive Algoih ABSTRACTT Flexible a yaic suly chai ewok esig oble has bee suie by ay eseaches uig as yeas. Sice iegaio o sho-e a log-e ecisios i saegic laig leas o oe eliable las i his ae a uli-objecive oel o a susaiable close-loo suly chai ewok esig oble is oose. The laig hoizo o his oel coais ulile saegic eios so ha he sucue o suly chai ca be chage yaically uig he laig hoizo. Fuheoe i oe o have a iegae esig seveal sho-e ecisioss ae cosiee besies saegic ewok esig ecisio. Oe o hese sho-e ecisios is eeiig sellig ice a buyig ice i he owa a evese logisics o suly chai esecively. Fially a augee e- cosai eho is use o aso he oble o a sigle-objecive oel a a ieialis coeiive algoih is esee o solve lage scale obles. The esuls aalysis iicaes he eiciecy o he oose oel o he iegae a yaic suly chai ewok esig oble. 016 IUST Publicaio IJIEPR. Vol. 7 No. 4 All Righs Reseve Aog iee saegic ecisios suly chai 1. Ioucio1 ewok esig (SCND) ca be egae as a The suly chai ca be cosiee as a esseial ecisios ae i SCM [3-4]. I a cobiaio o iee ogaizaios which SCND oble he ai issue is iig a seve cusoes i cooeaio wih each ohe. eicie iasucue o he eie suly chai Makig cooiaio aog hese iee so ha he low o goos a couicaio ebes a laig i he suly chai is oe bewee iee ebes o a suly chai ca o he ai issues o suly chai aagee be oe sily. Exesive aue o chagig (SCM) [1]. Cosieig he ie hoizo he he sucue o a suly chai akes SCND laig i SCM ca be caegoize io oble as a saegic ecisio i SCM [1 3 5]. saegic acical a oeaioal levels []. I I aiio o ewok esig o suly chai he coas wih acical a oeaioal ecisios ohe log-e ecisios such as eiig he saegic laig i SCM coais ecisios caaciy a echology o aciliies ca be wih log-lasig iluece o suly chai [3]. eee [6]. I oe o aa o chagig evioe ay * Coesoig auho: Aisaa Kheikhah aages ae ieese i esigig he ewok Eail: o a suly chai yaically so ha he Receive 4 ASil 016; evise 5 Novebe 016; accee 17 Ail 017 sucue o suly chai ca be chage wih Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
2 354 A. Nobai A. S. Kheikhah & M. Esaeili esec o he vaiaios o he ake. So ay eseachess cosiee yaic suly chai ewok esig i he ece yeas [7]. I also shoul be oe ha base o he ieacios exisig aog log-e a sho-e ecisios a he eecs o hesee ecisios o each ohe ay suly chai aages cosie acical a oeaioal ecisios besies he saegic suly chai ewok esig oble. Oe o hese sho-e ecisios less egae i he lieaue o SCND oble is icig. I he ece yeas iovig aeios o evioeal coce iceasig esisace wih olluig aciviies goveeal legislaioss associae wih social issues a ec ake ay is o coceae o ohe goals as well as hei ecooicc goals. Hece uig he las ecae susaiabiliy as a ew coce i which evioeal a social coces ae egae eee iee scoes o he suly chai such as SCND oble besies ecooic esiaios [8]. Accoigly he ai o his ae is oosig a oe coehesive oel o a yaic a iegae close-loo suly chai ewok esig oble i which evioeal social a ecooic coces ae egae siulaeously. Fo sake o yais a iegaio o ewok esig seveal saegic eios ae cosiee whee each o hese saegic eios cosiss o ulile sho-e eios i which acical a oeaioal ecisios shoul be eie. The sellig ice o oucs o cusoe zoes a buyig ice o use oucs o cusoe zoes ae wo o hese sho-e ecisios. Fially he oose suly chai ewok esig oble is oulae as a uli-objecive ixe-iege liea laig () oel. The coibuios o his ae ca be suaize as ollow: Cosieig ulile saegic eios o ake he yaic esig o suly chai ossible. Cosieig sellig ice o oucs usig liea ea ucios i owa logisics o he suly chai. Cosieig buyig ice o use oucs i evese logisics o suly chai usig liea acquisiio ucio. Poosig a levelig aoach o icig ecisios i owa a evese logisics o have a oel which siliies solvig he oose oel. Pacically he oose oel ca hel suly chais i seveal asecs o esig hei ewoks Cosieig Picig Poble i a Dyaic... oe eicie. O oe sie his oel akes chagig he sucue o suly chai ossible esecig seveal log-e a saegic eios. This hels aages o aa hei suly chai o he chagig coeiive ake. O he ohe sie iegaio o log-e a sho-e ecisios ca lea o oe ealisic laig because eiig he sucue o a suly chai wihou esecig acical a oeaioal ecisios a hei ieacios is o ossible uly. The oose oel also ecouages he cusoes o eu use oucs o suly chai usig cosieaio o iceive buyig ice o use oucs by which boh ecooic a evioeal goals o suly chai ca be aece osiively. Fially he cosieaio o susaiabiliy i he suly chai ewok esig oble hels aages o achieve a bee siuaio i a coeiive ake. The es o his ae is ogaize as ollows: he lieaue elae o SCND oble is eviewe i Secio. The close-loo suly chai ewok esig oble is eie i Secio 3 a a oel is use o oulae his oble. The soluio aoach o he oose oel is sae i his Secio oo. I Secio 4 he esuls o solvig he oel o a ueical exale a sesiiviy aalysis o aaees ae esee. Fially he coclusio a uue eseach suggesios ae give i Secio 5.. Lieaue Review The SCND oble has bee wiely suie by ay eseaches hough ece yeas [ 6]. Accoigly he elae lieaue ca be caegoize wih esec o iee asecs as show i Figue 1. Fig. 1. Classiicaio o SCND lieaue The SCND oble has bee wiely suie by ay eseaches hough ece yeas [ 6]. Accoigly he elae lieaue ca be Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
3 Cosieig Picig Poble i a Dyaic caegoize wih esec o iee asecs as show i Figue Base o suly chai logisics The is gou iclues eseaches which have cosiee owa logisics i SCND oble [9-17]. I coas he seco gou cosiss o eseaches i which he evese logisics o he suly chai is cosiee solely i SCND [18- ]. The las gou egae boh owa a evese logisics siulaeously i SCND oble [3-3]. I shoul be oe ha i he ece yeas he evese logisics have bee aee i he suies because o he ioace o evioeal issues [33]. Fo a oe coehesive suy i his aea oe ca ee o [34]. -. Base o ube o objecivee ucios I his ae he lieaue o SCND ca be caegoize io wo gous. The is oe suie sigle objecive SCND oble which iclues oe ha iey ece o elae eseaches []. The seco gou iclues eseaches which cosie uli-objecive oels o SCND oble. Fo a oe coehesive suy i his aea oe ca ee o [5]. Oe o he ai coces has bee aee wiely i he lieaue o SCND oble is susaiabiliy [35-36]. Base o [37] os o eseaches suie he susaiable SCND oble cosieig oly ecooic a evioeal coces [ ] while social coces have bee cosiee oly by a ew eseaches [ ]. Fo a oe coehesive suy i he susaiable SCND oble oe ca ee o [34]. -3. Base o ube o saegic eios The is gou iclues eseaches which evaluae SCND oble hough a sigle saegic eio i which he chages o he ewok is o ossible [7]. I coas he seco gou coais eseaches i which he sucue o suly chai ca be vaie uig ulile saegic eios [ ]. -4. Base o ecisios ie hoizo The is eseaches o SCND oble ivesigae oly saegic a log-e ecisio i esigig he suly chai ewok. I coas he seco gou cosiee iegae SCND oble i which acical a oeaioal ecisios ae also egae besiess saegic a log-e ecisios. A coehesive suy has bee esee by [40]. A. Nobai A. S. Kheikhah & M. Esaeili 3555 Aog suies which esee iegae SCND oble oly a ew oes (such as [41]) cosiee ulile saegic a acical eios siulaeously. The oel esee i [41] eveloe by seveal eseaches [7 13]. Soe eseaches cosiee icig ecisios i owa logisics ewok esig [ ]. The buyig ice-eee acquisiio ucios i evese logisics have bee cosiee by seveal eseaches oo [ ]. Oly a ew woks cosiee icig ecisios i owa a evese logisics siulaeously [30]. As iicae i Table 1 oly a ew eseaches ivesigae he SCND oble yaically a hough seveal saegic eios. While esecig he chagig evioe he uchageable a saic esig o a suly chai ca gaually lea o he ailue o suly chai i he coeiive ake. I ca also be obseve i Table 1 ha ew eseaches cosiee icig ecisios i owa a evese logisics siulaeously. This ae aes o ese a oe coehesive oel o a yaic SCND oble i which acical a oeaioal ecisios such as icig have bee iegae wih saegic ecisios. Also he esee levelig aoach o sellig a buyig ice siliies he aheaical oel. 3. Poble Deiiio I his ae he ewok esig oble o a close-loo suly chai which ais o ee he ake o sellig soe oucs is cosiee. The coiguaio o his suly chai is iicae i Figue. I owa logisics o his suly chai auacues ovie hei aw aeial o sulies a ouce ulile oucs. The hese oucs ae asoe o cusoe zoes via isibuio cees. I evese logisics collecio cees collec use oucs o cusoe zoes a aso he o ecovey cees which ivesigae use oucs a caegoize he o ecoveable a uecoveablee oucs. The is gou will be ecovee a asoe o isibuio cees agai while he lae will be asoe o isosal cees. Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
4 356 A. Nobai A. S. Kheikhah & M. Esaeili Cosieig Picig Poble i a Dyaic... Tab. 1. Lieaue o SCND oble Re [8] [9] [1] C [17] [18] [19] [10] [] C Logisics o Suly Chai Nube o Objecive Fucios FL 1 FL 1 CLSC RL 1 RL 1 RL > FL CLSC 1 [3] CLSC 1 [0] [11] [4] RL FL CLSC [5] CLSC [1] [6] FL CLSC 1 1 [13] [7] FL CLSC > > [14] [15] [6] [8] FL FL FL CLSC [] CLSC > [16] [9] FL CLSC > [31] CLSC Cue ae CLSC > Ecooic Susaiabiliy Coces Evioeal Social Nube o Tacical a Saegic Peios Mulile Tacical Peio Mulile Saegic Peio Moel Locaio Saegic Techology Caaciy Sulie Selecio Decisio Vaiables Poucio Tacical Assige/ Shie MINLP MINLP MINLP MINLP NLP NLP MIP MINLP MINLP MINLP HA: Heuisic Aoach MH: Mea-heuisic Aoach LM: Lagagia Meho CS: Coecial Solve e-cm: Ɛ-Cosai Meho Soage Sellig Pice Buyig Pice Soluio Aoach HA HA HA MH MH MH LM HA LM MH e-cm CS e-cm LM CS e-cm MH LM LM MH H MH MH CS CS e-cm Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
5 Cosieig Picig Poble i a Dyaic Fig.. Coiguaio o close-loo suly chai ewok I his ae i is assue ha i aiio o ew ea suly chai hee is a exisig suly chai which sells he sae oucs i cusoe zoe a achieves a oio o he ake shae cosequely. Regaig his exisig suly chai he ew ea suly chai ca achieve oly a seciie oio o eas. To iegae sho-e a log-e ecisios i is assue ha he laig hoizo cosiss o seveal saegic eios so ha each saegic eio iclues ulile acical eios (as show i Figue 3). Fig. 3. Relaioshi aog saegic a acical eio A. Nobai A. S. Kheikhah & M. Esaeili 357 exese i oe o iove he sucue o suly chai a he eaie buge ca be ivese wih a eeie iees ae. The ai o his ewok esig oble is iig a eicie iasucue o suly chai so ha he oi o suly chai is axiize he ube o ueue use oucs is iiize a job oouiies ceae by he suly chai ae axiize. The ohe assuios o his SCND oble ae as ollows: The oeial locaios o aciliies ae eeie. Oee aciliies cao be close uig ex saegic eios. The oeial oios o iovig he caaciy o auacues ae eeie. The ea ucio o each ouc ees liealy o sellig ice. The acquisiio ucio o each use ouc ees liealy o buyig ice. The shoage ca occu as los sales. Recovee oucs i ecovey cees ca be eceive by isibuio cee ae oe acical eio. All he aaees cosiee i owa a evese logisics ae eeiisic Noaios Table iicaes all oaios aaees a ecisio vaiables use i he oose aheaical oel. I is also assue ha a seciie buge is assige o each saegic eio which ca be Tab.. Noaios aaees a ecisio vaiables Ses Ex o : Caaciy exasio o caaciy oio o S: Sulies ( s S ) a auacue M: Mauacues ( M ) ax Ca : Maxiu isallable oucio D: Disibuio cees ( D ) K: Cusoe zoes ( k K ) caaciy o auacue ax C: Collecio cees ( c C ) Ca : Maxiu soage caaciy o R: ecovey cees ( R ) isibuio cee ax C : Disosal cees ( c C ) Ca c : Maxiu collecig caaciy o P : Raw aeials ( P) collecio cee c P: Poucs ( P ax ) Ca : Maxiu ecovey caaciy o L: Level o sellig ice (l L ) ecovey cee L : Level o Buyig ice ( l L) U : Uilizaio ae o auacue O: Caaciy oios o auacues ( o O ) B N: Nube o saegic eios ( N ) : Assige buge o saegic eios T: Nube o acical eios ( T ) IR : Iees ae o ivesig i Saegic eios Paaees FO i : Fixe cos chage i saegic eio : Quaiy o equie aw aeial o Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
6 358 A. Nobai A. S. Kheikhah & M. Esaeili 1 o oeig aciliy i saegic eio FA o : Fixe cos o auacue chage i saegic eio 1 o aig oucio caaciy oio o i saegic eio FCCC o : Fixe cos o auacue o oeae ue caaciy oio o i saegic eio FOC i : Fixe oeaig cos o aciliy i PC : Vaiable cos o oucig oe ui o ouc a auacue HC : Vaiabl e cos o holig oe ui o ouc a isibuio cee IC : Vaiable cos o isecig oe ui o ouc a ecovey cee RC : Vaiable cos o ecoveig oe ui o ouc a ecovey cee SC : Vaiable k cos o shoage oe ui o ouc a cusoe zoe TC : Vaiable s cos o asoig oe ui o aw aeial bewee sulie s a auacue TC : Vaiable i j cos o asoig oe ui o ouc bewee aciliies i a j BC : Buyig c s os o oe ui o aw aeial o sulie s J i : Nube o job oouiies ceae ue o oeig aciliy i MaxDe : Maxiu achievable ake shae o cusoe zoe k o ouc i acical eio o saegic eio De : Dea o cusoe zoe elae o ea suly chai o ouc i acical eio o saegic eio De l: Dea o cusoe zoe elae o ea suly chai o ouc i acical eio o saegic eio base o sellig ice level l IP : Buyig k l ice o ouc i cusoe zoe k a ice level l i acical eio o saegic eio Re k l : The aou o eue ouc o cusoe zoe k i acical eio o saegic eio base o iceive ice levell Decisio vaiables OM : 1 i auacue is oe uig Cosieig Picig Poble i a Dyaic... ouce oe ui o ouc U : Usage ae o soage caaciy o isibuio cee o soe oe ui o ouc U : Usage ae o oucio caaciy o auacue o ouce oe ui o ouc A : Nube o eliveies o auacue o isibuio cee A : Nube o eliveies o ecovey cee o isibuio cee : Reu ae o use ouc collece ee a wihou buyig o cusoe zoe : Elasiciy coeicie o sellig ice i ea ucio o cusoe zoe k o ouc : Elasiciy coeicie o buyig ice i acquisiio ucio o cusoe zoe o ouc : Recovea able acio o eue ouc P : Sellig ice o ouc o cusoe zoe k i acical eio o saegic eio P l: Sellig ice o ouc o cusoe zoe k a ice level l i acical eio o saegic eio : Peceage o ake shae o exisig suly chai Dea : Poeial ea o cusoe zoe k o ouc i acical eio o saegic eio ouc o cusoe zoe k i acical eio o saegic eio l : 1 i buyig ice level l is use o buyig aiioal use ouc o cusoe zoe k i acical eio o saegic eio Q : Quaiy o ouc ouce by auacue i acical eio o saegic eio H : Aou o ouc hel by isibuio cee i acical eio o saegic eio s : Aou o aw aeial shie o sulie s o auacue i acical eio o saegic eio i j : Aou o ouc shie o aciliy i o aciliy j i acical eio o saegic eio S l: Shoage o ouc base o ice level l i cusoe zoe k i acical eio o Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
7 Cosieig Picig Poble i a Dyaic saegic eio OD : 1 i isibuio cee is oe uig saegic eio OC c : 1 i collecio cee c is oe uig saegic eio OR : 1 i ecovey cee is oe uig saegic eio : 1 i caaciy oio o is isalle a O o auacue i saegic eio : 1 i sellig ice level l is use o sellig k l 3-. Sellig ice-eee ea ucio I he las ecaes vaious ice-eee ea ucios have bee iouce i he lieaue. I his ae oe o he os coo ea ucios is use o cosie he A. Nobai A. S. Kheikhah & M. Esaeili 359 saegic eio UB : Use buge i saegic eio SB : Se buge i saegic eio o exe he ewok o suly chai Cos : Toal oeaioal ixe cos o suly chai Cos chai Cos Fixe Va oal Icoe : Toal oeaioal vaiable cos o suly : Toal cos o suly chai oal : Toal icoe o suly chai elaioshi aog eas a sellig ice o oucs. The use ea ucio ca be oulae by Eq. (I) i which heee is a liea elaioshi bewee ea a ice. Figue 4( (a) iicaes his ice-eee ea ucio. De 1 Dea Cosieig he exisig suly chai he ew ea ca achieve oly a oio o oal ea ( Dea ) which equals MaxDe k. The icoe o sellig oucs o cusoe zoes equals P whi k ich akes a ixe-iege oliea ogaig (MINLP) oel. Hece i his ae i oe o have a liea elaioshi aog ecisio vaiables a levelig aoach siila o [7] is alie o sellig ice. I his ae seveal iscee levels o sellig ice is cosiee i each cusoe zoe as show i Figue 4(b). Assuig L as he ube o ice levels he sellig ice o each level l ca be calculae by Eq. (II). l 1 MaxDe P l (II) L 1 k Fig. 4. Pice-eee ea ucio P MaxDe P (I) So he icoe o sellig oucs o each ice level equals P k l De l. k l S l which akes a oel Buyig ice-eee acquisiio ucio I his ae i is assue ha he ube o eue oucs i evese logisics ees liealy o buyig ice o use oucs which ca be oulae by Eq. (III). Re IP (III) D k whee D k iicaes he oal ube o oucs eue eee o cusoe zoes a IPk iicaes he oal ube o bough oucs. Base o Eq. (III) i ca be obseve ha iceasig he buyig ice leas o ceasig he ube o eue oucs as show i Figue 5(a). Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
8 360 A. Nobai A. S. Kheikhah & M. Esaeili Cosieig Picig Poble i a Dyaic... Fig. 5. Buyig ice-eee acquisiio ucio lea o euig use oucs oe ha Accoig o eioe acquisiio ucio he saisie ea. oal cos o buyig exa use oucs equals o IP IP which leas o a MINLP k IPkl kl 1 D k l L oel. The sae as he eioe aoach o k (V) sellig ice (Secio 3.) a levelig aoach is 3-4. Maheaical oel alie o buyig ice as show i Figue 5(b). The objecivee ucios a cosais o he Assuig L as he oal ube o buyig ice oose oel ae as ollows: levels he buyig ice associae wih levell l ca be calculae usig Eq. (IV) Objecive ucios l 1 1 MaxDe - Ecooic objecive ucio IP l (IV) L Maxiizaio o oal oi is cosiee as he 1 is objecivee ucio which ca be oulae Fially he oal cos o buyig oucs o each as Eq. (1). ice level equals IP k l IP l. Max OF1 Icoeoal Cosoal IRNUB N (1) Sice i is assue ha shoage ca occu i The oal icoe o he suly chai ca be cusoe zoes so Eq. (V) shoul be ae o calculae by Eq. (1-1). he oose oel as a exa cosai. This cosai eves selecig buyig ices which Icoeoal Pk ldek l l Pk lsk l (1-1) N T kk P l L kk P l L Toal cos o suly chai iclues ixe a vaiable cosss which ca be oulae by Eq. (1-) a Eq. (1-3) esecively. CosFixe Cos Va FOC OM N M N D FC C o O o N T oo N BCs s 0 N T ss M P FOC OD N cc 0 N T M P FOC OC PC c Q c N R FOC 1 1 HC H 0 N T D P M A R A SCk S l k IPk l l 0 N T kk P ll 0 N T kk P l L IC RC c TCs s 0 N T cc R P 0 N T ss M P TC TC 0 N T M D P 0 N T D kk P TC c c TCc c 0 N T ss M P 0 N T cc R P TC 0 N T RDP OR (1-) (1-3) Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
9 Cosieig Picig Poble i a Dyaic A. Nobai A. S. Kheikhah & M. Esaeili 361 The oi o ivesig uexee buge equals IRNUBN. - Evioeal objecive ucio Miiizaio o oal ueue oucs o cusoe zoes is he seco objecive ucio o he oose oel whichh ca be oulae by Eq. (). Mi OF () N T D kk P - Social objecive ucio Maxiizaio o job ceaio as a social esosibiliy is cosiee as he hi objecive ucio o he oose oel whichh ca be calculae usig Eq. (3). NT NT NT NT Max OF 3 JOM J OD JOC c c JOR (3) M k D N T kk cc P cc kc R Cosais Q 0 H s ss P Q 0 D 1 H k M R kk 1 T H H k M R kk 1 c 0 cc D 1 T c 0 1 cc D 1 c c 0 c C cc l 1 0 ll S l l De l l 0 k S l lde l 0 D ll ll l 1 0 ll IP l l 1 k ll D kc k IP l l cc D ll kc c c 0 kk R 1 OM OM 0 1 OD OD 0 1 OCc OC c c 0 1 OR OR SB FO OM OM FO OD M D FOc OCc OCc FO OR OR cc R SB SB UB UB B IR UB B OD M oo 1 o o FA O N (4) (5) (6) (7) (8) (9) (10) (11) (1) (13) (14) (15) (16) (17) (18) (19) (0) (1) () (3) (4) Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
10 36 A. Nobai A. S. Kheikhah & M. Esaeili Cosieig Picig Poble i a Dyaic... UB IR 1UB 1 N Oo OM 0 oo U Q U Ex o o P 0 NoO Exo O ax o Ca 0 N o O U H U U P M P A R P ax U kc OC c Cac c 0 kk P ax U c ORCa 0 cc P OM OD OCc OR Oo l l Q H s i j S l UB 0 x O 0 0 Eq. (4) assues ha each auacue ovies suicie aw aeials i each acical eio. Eq. (5) iicaes ha ouce oucs will be asoe o isibuio cees. Eq (6) a Eq. (7) iicae he balace o goos o isibuio cees a Eq. (8) a Eq. (9) assue he balace o goo aog isibuio cees a ecovey cees. Eq. (10) assues he low o goos aog ecovey cees a isosal cees. Selecig oly oe ice level i each acical eio is guaaee by Eq. (11). Base o Eq. (1) shoage i each cusoe zoe shoul be less ha oal ea. Eq. (13) iicaes ha su o e ea a shoage o each ouc equals oal ea o elae cusoe zoe. Eq. (15) is he exa cosai which eves selecig buyig ices which lea o euig use oucs oe ha e ea. The balace o goos o each cusoe zoe a collecio cee is cosiee by Eq. (16) a Eq. (17). Eqs. (18)-( 1) guaaee ha he oee aciliies cao be close hough ex saegic eios. Eq. () cosies he assige buge o each saegic eio whichh ca be use o oe aciliies a icease he caaciy o auacues. Eqs. (3)-(5) liis su o exee a uuse buge o assige buge o each eio. Eq. (6) iicaes ha each auacue ca acivae a os oe caaciy oio uig each saegic eio. This ac ha he auacues cao ocee oe ha hei caaciy is cosiee via Eq. (7). Eq. (8) liis he oal acivae caaciy o each auacue o axiu allowable isallable caaciy. The caaciy liiaios o ohe A 01 OD Ca ax 0 (5) (6) (7) (8) (9) (30) (31) (3) aciliies ae sae by Eqs. (9)-(31). Fially he ecisio vaiables ae cosiee i Eq. (3) Soluio aoach I his ae a e-cosai aoach is use i oe o ake a sigle-objecive oel. Also a ieialis coeiive algoih is esee o lage size obles Sigle-objecive oel I oe o have a sigle-objecive ucio oel a e-cosai aoach is use i his ae. Accoigly he oble is eoulae as a sigle-objecive ucio oel wih esec o objecive ucio wih os ioiy a he ohe objecive ucios ae cosiee as cosais [4]. Eq. (33) iicaes he eoulaio o oose oel. ax OF1 ( x) ax OF1 ( x) OF() x OF3() x s.. s.. OF ( x) e (33) Cosai s OF 3( x) e3 Cos ais whee e i is he esilo o ih cosai. Fially he ceae sigle-objecive oel shoul be solve o iee values o e i. I his ae o iove he eoace o soluio aoach a augee e-cosai eho is use [4]. Eq. (34) iicaes he oulaio o oose oel wih esec o his eho. Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
11 Cosieig Picig Poble i a Dyaic sl sl 3 ax z=1( x) Rage Rage3 s.. ( x) sl e (34) 3( x) sl3 e3 sli 0 (4) (3) whee Rage i iicae age o vaiaios o each objecive ucio. Base o [4] hese ages ca be calculae usig ayo able achieve via lexicogahy eho. Sl i iicaes slack o sulus vaiable o each objecive ucio. Usig Eq. (3) i e-cosai eho lea o oe o-oiae soluios a ecisio ake ca choose aog he [4] Aoxiae soluio aoach To solve lage size oble aoxiae eho such as ea-heuisic aoaches ca be A. Nobai A. S. Kheikhah & M. Esaeili 3633 use. I his ae a ieialis coeiive (ICA) aoach is esee Ieialis coeiive algoih The ieialis coeiive algoih is oe o he well-kow oulaio-base evoluioay algoihs has bee iouce by [43]. The ses o ICA ae as ollows: - Se 1: Iiializaio o he eies The is se is geeaigg N iiial couies which iclue N couies as ieialiss a i he ohe ae coloies. The sucue o soluio eeseaio is iicae i Figue 6 which iclues a 1 M D C R veco a he value o each cell is a iscee ube bewee 0 o N. This value iicaes he saegic eio i which he elae aciliy is oee a he zeo value eas he aciliy cao be oee uig he laig hoizo. The ohe ecisio vaiables ae eeie base o his veco. o Fig. 6. Soluio eeseaio x ~ U 0 (37) The he ube o coloies seize by each ieialis ca be calculae wih esec o he ~ U (38) owe o each ieialis. Eq. (35) calculaes he whee U. is a coiuous ao vaiable wih owe o each ieialis. Uio isibuio is isace aog coloy z P (35) a is ieialis a a ae wo Ni z aaees. i i1 - Se 3: Chagig osiio o coloy a whee z i is iess ucio o ih ieialis ieialis I a coloy eaches a bee osiio ahe ha which ca be calculae usig Eq. (34) a P i is is elaive ieialis he osiio o his coloy he owe o elae ieialis. The ube o a ieialis shoul be exchage. coloies o each ieialis ca be calculae - Se 4: Couig oal owe o usig Eq. ( 36). eies NC oupn col (36) The oal owe o each eie ca be calculae - Se : Movee o coloies owa usig Eq. (39). ieialis TP Pieia ( alis ) ea Pcoloies (39) The coloies o each ieialis will ove whee is less ha 1 a TP is oal owe o owa hei ieialis egaigg a eviaio. h eie. The value o ovee a eviaio ca be - Se 5: Coeiio aog eies calculae usig Eq. (37) a Eq. (38) I his se he os oweul eie seizes he esecively. weakes coloy o weakes eie. Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
12 364 A. Nobai A. S. Kheikhah & M. Esaeili - Se 6: Eliiaig eies wihou coloy I a eie loses all coloies i shoul be eliiae o he coeiio. - So cieio Cosieig Picig Poble i a Dyaic... I oly oe eie eais i he coeiio he algoih will be soe ohewise go o se. Figue 7 iicaes he lowcha o oose algoih. Fig. 7. Flowcha o ICA chaaceisicss o ueical exales ae 4. Nueical Resuls iicae i Table 3. I shoul be oe ha i all I his secio seveal ueical exales ae ueical exales i is assue ha L 5 a use o evaluae he oose oel. I his ae oe o hesee ueical exales is solve exacly usig a e-cosai eho a L 5. The aoly. ohe aaees ae geeae sesiiviy aalysis is cosiee. The Tab. 3. Chaaceisic o ueical exales Poble No. S M D K C R C' P' P O N T P P P P P P P P P P sigle-objecive oel usig Eq. (34). Table Exac solvig aoach Cosie a SCND oble o P3 which is chaaceisic is iicae i Table 3. Fis his iicaes axiu a iiu o seco a hi objecive ucios egaig lexicogahy eho. oble is oulae usig Eqs. (1)-(3). The he uli-objecive oel is asoe o a Tab. 4. Vaiaio o seco a hi objecive ucios Miiu value Maxiu value Rage o Nube o o objecive ucio o objecive ucio vaiaio esilos e 1 e e 3 OF OF hee iee levels ae cosiee o seco To solve he oose we use GAMS 4.5 sowae i which CPLEX solve is se. Also a hi objecive ucios. Table 5 iicaes he esuls o solvig oel o iee values Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
13 Cosieig Picig Poble i a Dyaic o e i. The oiu value o each objecive ucio egaless he ohe objecive ucios ca be obseve i Table 5 oo. Tab. 5. No-oiae soluios o ueical exale # Soluio Oiu OF1 value OF value OF3 value Sesiiviy aalysis To evaluaee he oose oel oe accuaely a sesiiviy aalysis is cosiee o soe aaees. - Sesiiviy aalysis o buge aaee A. Nobai A. S. Kheikhah & M. Esaeili 365 Figue 8(a) iicaes he vaiaio o ecooic a social objecive ucios wih esec o he vaiaio o he buge. Accoigly i ca be obseve ha iceasig he buge iceases he oi. I shoul be oe ha he gowh ae o oi will be ecease gaually because he ea o cusoe zoes ae ixe. So oly a oio o buge is equie o ee eas a he eaie buge ca be ivese. The covegece o e ea i Figue 8(a) cois his ac. Also Figue 8(a) iicaes ha ceasig o he buge leas o iceasig job oouiies ill he ea is e coleely. The eceage o use buge a ece o acivae o aciliies ae iicae i Figue 8(b). I ca be obseve i Figue 8(b) ha he eceage o he use buge will ecease gaually egaig ixe ea. I ac he exa buge will be ivese i ohe ojecs. The covegece i he ece o acivae aciliies assues his ac. Fig. 8. Sesiiviy aalysis o buge ae iicae i Figue 9 i which boh icease - Sesiiviy aalysis o ea aaee via iceasig he ea. The vaiaio o he ecooic objecive ucio a oal e ea wih esec o he ea Fig. 9. Sesiiviy aalysis o ea Figue 10(a) iicaes he eec o chagig - Sesiiviy aalysis o elasiciy o oi. Accoigly i ca be coclue coeicie o sellig a buyig ice ha iceasig i he elasiciy coeicie o sellig ice leas o a ecease i oi. Base Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
14 366 A. Nobai A. S. Kheikhah & M. Esaeili o Eq. (I) iceasig o euces he ossible age o oucs' icig a cosequely he e ea will be ecease Cosieig Picig Poble i a Dyaic... as show i Figue 10(b). I ac eeig he eas usig low ice is o eecive ecooically. Fig. 10. Sesiiviy aalysis o sellig ice coeicie euig use oucs a ecooic objecive Figue 11( (a) iicaes he eec o chage i ucio wih esec o chagig ae o eceage o eue a bough iicae i Figue 11( (b) a Figue 11(c) oucs. Base o Figue 11-a he iluece o esecively. I ca be obseve ha ceasig o he chages i elasiciy coeicie o buyig eceases buyig cos o use oucs a ice o eue a bough oucs is o cosieable. The vaiaios o he oal cos o iceases oi. Fig. 11. Sesiiviy aalysis o buyig ice coeicie Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
15 Cosieig Picig Poble i a Dyaic - Eec o yaic icig o oi I oe o coae yaic icig aoach wih saic oe seveal ueical exales which hei chaaceisic is iicae i Table 6 is use. The ecooic objecivee ucio o hese ueical exales is calculae o boh A. Nobai A. S. Kheikhah & M. Esaeili 367 o yaic icig echais a saic icig echais. I shoul be oe ha i saic icig aoach a cosai which eves chagig ices uig laig hoizo is ae o he oel. The esuls ae iicae i Figue 1. Tab. 6. Chaaceisic o ueical exales Poble No. S M D K C R C' P' P O L L' N T P P P P P wih esec o he size o he obles. Hece i Base o Figue 1 i ca be obseve ha he oi i case o yaic icig is oe ha sees ha yaic icig aoach is oe ecooic. saic case. Also his ieece will be icease OF1 o yaic icig OF1 o saic icig 0 P1 P P3 P4 P5 Fig. 1. Poi o yaic a saic icig aoach.4. Aoxiae aoach I his secio ueical exales ae solve usig ICA. I his ae he aaees o oose algoih ae ajuse usig Taguchi eho [44 45]. Base o Taguchi eho hee iee levels ae cosiee o aaees o ICA i his ae [46]. Table 7 iicaes hesee levels. The L7 Taguchi esig is cosiee o oose algoih usig Miiab sowae. Figue 13 iicaes he values o he sigal o oise o iee levels o aaees. Sice bigge value o he sigal o oise is esiable he oiu level o aaees is highlighe i Table 7. Tab. 7. Level o ICA aaees Paaee Level o Paaee Low Meiu High Poulaio size Nube o ieialiss Max I Movee ao ube Deviaio coeicie Iac aco o coloy Mea o SN aios Mai Eecs Plo (aaa eas) o SN aios Nube o oulaio Nube o ieialis Maxiu geeaio Rao vaiable Iluece coeicie Deviaio coeicie Sigal-o-oise: Lage is bee 3 1 Fig. 13. Taguchi esuls o ICA To evaluaee he eiciecy o ICA each ueical exale is oele usig Eq. (34). The he sigle-objecive oel is solve usig boh GAMS a ICA. The esuls o solvig ueical exales usig GAMS a ICA ae iicae i Table 8. 3 Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
16 368 A. Nobai A. S. Kheikhah & M. Esaeili Tab. 8. Resuls o solvig ueical exales via GAMS a ICA Poble No. P1 P P3 P4 P5 P6 P7 P8 P9 P10 I ca be obseve ha usig GAMS i secos leas o o soluio o P10 while he ICA achieves a soluio which iicaes he caabiliy o he oose algoih. Also coaig he esuls o GAMS a ICA iicaes ha hee is o sigiica ieecee aog he exac a aoxiae aoaches. I ac he oose ICA ca achieve acceable ea oiu soluios. Figue 14 iicaes he ecooic objecive ucios o each ueical exale solve by GAMS a ICA GAMS NA P1 P P3 P4 OF e-c Cosai ICA P5 P6 P7 P8 P9 P10 CPU ie o ICA Fig. 14. Resuls o ueical exale o ICA a GAMS 5. Coclusio I his ae a iegae uli-objecive oel o a close-loo SCND oble was esee. Fo sake o yais seveal saegic eios wee egae which ae chagig he sucue o suly chai ossible. Also icig ecisios i boh owa a evese logisics wee cosiee. Fially a augee e- cosai eho was use o ake sigle- objecive oel a a ieialis GAM ICA Cosieig Picig Poble i a Dyaic... coeiive algoih was esee o solve lage size obles. Sice he susaiable SCND oble is aee wiely uig las ecaes so eseig ohe objecive ucios o cosie evioeal a social coces is suggese as a exesio o his ae. Also cosieig uceaiy i he oose oel leas o oe ealisic a eliable esuls. Reeece [1] Choa S. & Meil P. Suly chai aagee: saegy laig a oeaios New Jesey: Peice Hall (007). [] Melo M. T. Nickel S. & Salaha-a-Gaa F. Faciliy locaio a suly chai aagee a eview Euoea joual o oeaio eseach Vol. 196 (009) PP [3] Sichi-Levi D. Kaisky a P. Sichi- he Levi E. "Desigig a aagig suly chai: coces saegies & cases New Yok: McGaw-Hill F. Ge M. Li L. & Paksoy (1999). [4] Aliaak T. A geeic algoih aoach o uli- chai objecivee oiizaio o suly ewoks Coues & Iusial Egieeig Vol. 51 (006) PP [5] Makui A. Tavakkoli-Moghaa R. & Ghoi-Avili M. A owa/evese suly chai ewok esig cosieig he isuio obabiliy o isibuio a collecio/isecio cees Ieaioal Joual o Iusial Egieeig & Poucio Maagee Vol. 6 (015) PP [6] Zajiaii Faahai R. Rezaou S. Deze T. & Fallah S. Coeiive suly chai ewok esig: A oveview o classiicaios oels soluio echiques a alicaios Oega Vol. 45 (014) PP [7] Faahi M. Mahoochi M. Govia K. & Moaa Husseii S.M. Dyaic suly chai ewok esig wih caaciy laig a uli-eio icig Tasoaio Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
17 Cosieig Picig Poble i a Dyaic Reseach Pa E Vol. 81 (015) PP [8] Ahi P.. & Seacy C. A aalysis o eics use o easue eoacee i gee a susaiable suly chais Joual o Cleae Poucio Vol. 86 (015) PP [9] Zhag S. O a oi axiizig locaio oel Aual o Oeaios Reseach Vol.103 No.1 (001) PP [10] She J.M. A oi-axiizig suly chai ewok esig oel wih ea choice lexibiliy Oeaios Reseach Lees Vol. 34 No. 6 (006) PP [11] Naguey A. & Naguey L.S. Susaiable suly chai ewok esig: a uli-cieia esecive Ieaioal Joual o Susaiable Egieeig Vol. 3 No. 3 (010) PP [1] Pishvaee M.S. Razi J. & Toabi S.A. Robus ossibilisic ogaig o socially esosible suly chai ewok esig: A ew aoach Fuzzy Ses a Syses Vol. 06 (01) PP [13] Bai H. Bashii M. & Hejazi T.H. Iegae saegic a acical laig i a suly chai ewok esig wih a heuisic soluio eho Coues & Oeaios Reseach Vol. 40 No. 4 (013) PP [14] Moa B. Goes M.I. Cavalho A. & Babosa-Povoa A. P. Towas suly chai susaiabiliy: ecooic evioeal a social esig a Plaig Joual o Cleae Poucio Vol. 105 (014) PP [15] Ahai-Javi A.. & Ghaali R. A eicie oiizaio oceue o esigig a caaciae isibuio ewok wih ice-sesiive ea Oiizaio a Egieeig Vol. 15 No. 3 (014) PP [16] Ahai-Javi A. & Hoseiou P. Icooaig locaio iveoy a ice ecisios io a suly chai isibuio ewok esig oble Coues & A. Nobai A. S. Kheikhah & M. Esaeili 369 Oeaios Reseach Vol. 56 (015) PP [17] Govia K. Jaaia A. & Noubakhsh V. Bi-objecive iegaig susaiable oe allocaio a susaiable suly chai ewok saegic esig wih sochasic ea usig a ovel obus hybi uli- & objecivee eaheuisic Coues Oeaios Reseach Vol. 6 (015) PP [18] Aas N. Akse D. & Goul Taugu A. Locaig collecio cees o iceive- olicy eee eus ue a ick-u wih caaciae vehicles Euoea Joual o Oeaioal Reseach Vol. 191 No. 3 (008) PP [19] Aas N. & Akse D. Locaig collecio cees o isace- a iceive- eee eus Ieaioal Joual o Poucio Ecooics Vol. 111 No. (008) PP [0] Dehghaia F. & Masou S. Desigig susaiable ecovey ewok o e-o-lie oucs usig geeic algoih Resouces Cosevaio a Recyclig Vol. 53 (009) PP [1] Tuzkaya G. Gulsu B. & a Osel S. A ehoology o he saegic esig o evese logisics ewoks a is alicaio i he Tukish whie goos iusy Ieaioal Joual o Poucio Reseach Vol. 49 No. 15 (011) PP [] Tavakkoli-Moghaa R. Jaaazaeh B. & Molla-Alizaea ew uli-objecive oel o a Zavaehi S. Desigig ocuee-oucio-isibuio ewok esig oble i a gee suly chai by a gaviaioal seach algoih Ieaioal Joual o Iusial Egieeig & Poucio Maagee Vol. 6 (015) PP [3] Neo J.Q.F. Bloeho-Ruwaa J. va Nue J.. & va Heck E. Desigig a evaluaig susaiable logisics ewoks Ieaioal Joual o Poucio Ecooics Vol. 111 No. (1998) PP Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
18 370 A. Nobai A. S. Kheikhah & M. Esaeili [4] Shi J. Zhag G. & Sha J. Oial oucio a icig olicy o a close loo syse Resouces Cosevaio a Recyclig Vol. 55 (011) PP [5] Shi J. Zhag G. & Sha J. Oial oucio laig o a uli-ouc close loo syse wih uceai ea a eu Coues & Oeaio Reseaches Vol. 38 No. 3 (011) PP [6] Chaabae A Rauhi A. & Paque M. Desig o susaiable suly chais ue he eissio aig schee Ieaioal Joual o Poucio Ecooics Vol. 135 No. 1 (01) PP [7] Pishvaee M.S. & Razi J. Evioeal suly chai ewok esig usig uli- ogaig Alie Maheaical Moellig Vol. 36 (01) PP [8] Keyvashokooh E. Faahi M. & Seye- Hosseii S.M. Tavakkoli-Moghaa R. objecive uzzy aheaical A yaic icig aoach o eue oucs i iegae owa/evese logisics ewok esig Alie Maheaical Moellig Vol. 37 (013) PP [9] Devika K. Jaaia A. & Noubakhsh V. Desigig a susaiable close-loo suly chai ewok base o ile boo lie aoach: A coaiso o eaheuisics hybiizaio echiques Euoea Joual o Oeaioal Reseach Vol. 35 (014) PP [30] Kaya O. & Uek B. A Mixe Iege Noliea Pogaig Moel a Heuisic Soluios o Locaio Iveoy a Picig Decisios i a Close Loo Suly Chai Coues & Oeaios Reseach Vol. 65 (015) PP [31] Dubey R. Guasekaa A. & Chile S..J. The esig o a esosive susaiable suly chai ewok ue uceaiy Ieaioal Joual o Avace Mauacuig Techology Vol. 80 No. 1 (015) PP Cosieig Picig Poble i a Dyaic... [3] Goela V. Zhag J. Osai A. & Oyeaghala R. Sochasic oiizaio o susaiable hybi geeaio bio-ehaol suly chais Tasoaio Reseach Pa E Vol. 77 (015) PP [33] Nobil A. & Kazei A. Peseig a uzzy uli-objecive oel o iegae oucio-isibuio laig i a ou- echelo close-loo suly chia Ieaioal Joual o Iusial Egieeig & Poucio Maagee Vol. 7 PP [34] Accosi R. Mazii R. Pii C. & Peazzi S. O he esig o close-loo ewoks o ouc lie cycle aagee: Ecooic evioeal a geogahy cosieaios Joual o Taso Geogahy Vol. 48 (015) PP [35] Govia K. Soleiai H. & Kaa D. Revesee logisics a close-loo suly chai: A coehesive eview o exloe he uue Euoea Joual o Oeaioal Reseach Vol. 40 (015) PP [36] Elkigo J. Caibals wih Foks: The Tile Boo Lie o 1s Ceuy Busiess (The Coscieiouss Coece Seies) (1998). [37] Bula G.H. Ou coo uue Oxo aebacks ( 1987). [38] Seuig S. A eview o oelig aoaches o susaiable suly chai aagee Decisio Suo Syses Vol. 54 No. 4 (013) PP [39] Eskaaou M. Dejax P. Mieczyk J. & Peo O. Susaiable suly chai ewok esig: a oiizaio-oiee eview Oega Vol. 54 (015) PP [40] Salea M.I.G. Babosa-Povoa A.P. & Novais A.Q. Siulaeous esig a laig o suly chais wih evese lows: a geeic oellig aewok Euoea Joual o Oeaio Reseach Vol. 03 No. (010) PP [41] Thah P.N. Bosel N. & Peo O. A yaic oel o aciliy locaio i he esig o colex suly chais Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
19 Cosieig Picig Poble i a Dyaic Ieaioal Joual o Poucio Ecooic Vol. 113 No. (008) PP [4] Mavoas G. Eecive ileeaio o he e-cosai eho i Muli-Objecive Maheaical Pogaig g obles Alie Maheaics a Couaio Vol. 13 (009) PP [43] Aashaz-Gagai E. a Lucas C. Ieialis Coeiive Algoih: A algoih o oiizaio isie by ieialis coeiio IEEEE Cogess o Evoluioay Couaio (007). [44] Mousavi M. Hajiou V. Niaki S.T.A. a Aalika N. Oiizig Muli-ie Muli- eio Iveoy Cool Syse wih A. Nobai A. S. Kheikhah & M. Esaeili 371 Discoue Cash Flow a Ilaio Aoaches: Two Calibae Mea-heuisic Algoihs Alie Maheaical Moellig (013). [45] Hajiou V. Rahai S.H.A. Pasaieh S.H.R. a Niaki S.T.A. A uli-objecive haoy seach algoih o oiize uli- i seve locaio allocaio oble cogese syses Coues & Iusial Egieeig (014). [46] Faahi P. Hajiou V. a Nobai A. A Bi-objecive Coiuous Review Iveoy Cool Moel: Paeo-base eaheuisic algoihs Alie So Couig (015). Follow This Aicle a The Followig Sie Nobai A Kheikhah S Esaeili M. Cosieig Picig Poble i a Dyaic a Iegae Desig o Susaiable Close-loo Suly Chai Newok. IJIEPR. 016; 7 (4) : URL: h://ijie.ius.ac.i/aicle-1-73-e.hl Ieaioal Joual o Iusial Egieeig & Poucio Reseach Decebe 016 Vol. 7 No. 4
Overview. Midterm Exam. Review Wave Equation. Review General Solution. Review Use of Trig Identities
lassiiaio/lidiesioal PEs Mah 9 lassiiaio o PEs ad Mlidiesioal PEs a aeo Mehaial Egieeig 5 Seia i Egieeig alsis Mah 9 Oveview Review las lass Wave eaio solios b seaaio o vaiables ad lebe aoah haaeisis ad
More information24 dw 2. b.) Find the mean square value of the process in the frequency band of +/- 1 Hz centered on the origin. 2 arctan
xeise 7-. sioy do oess hs o-sided sel desiy give y 6.) Fid he e-sque vlue o he oess. d d 6 d 6 6 6 3 3 3 3.) Fid he e sque vlue o he oess i he equey d o +/- Hz eeed o he oigi. Hz d 6 3 3 6.. 973 Hz his
More informationOn Joint Distributions of Order Statistics from innid Variables
O Joi Diibuio o Oe Saiic o ii Vaiabe M GÜNGÖR Depae o Maheaic Uiveiy o ia 9 Eazig Tuey gugo@iaeu Abac I hi uy he joi iibuio o oe aiic o ii ao vaiabe ae epee The oe eu coecig iibuio o oe aiic o ii ao vaiabe
More informationHow can a Business Best Dealing with Profitable Customers? Analysis a New Model for Customer Lifetime
Ieaioal Joual of Iovaio, Maageme a echology, Vol. 2, No. 4, Augus 2011 How ca a Busiess Bes Dealig wih Pofiable Cusomes? Aalysis a New Moel fo Cusome Lifeime Value Mohamma Safai Kaheh, Mohamma Haghighi,
More informationGENERALIZED NON-HOMOGENEOUS MORREY SPACES AND OLSEN INEQUALITY
GENERAZED NON-HOOGENEOUS ORREY SPAES AND OSEN NEQUATY Sihwaigum * H Guawa Y Soehaai W S uhi Aalsis a Geome Gou Facul o ahemaics a Naual Scieces aug siue o Techolog aug 43 oesia haiha@suesibaci hguawa uish
More informationAPPENDIXES ARE NOT INTENDED FOR PUBLICATION
IXS R OT IT FOR ULITIO ppedi I ompeiive quilibium wih Icomplee Make Thi appedi give he em o equaio i em o aioa vaiable chaaceiig he compeiive equilibium ude he icomplee make eig emad equaio o leible pice
More informationA Differential Quadrature Procedure with Direct Projection of the Heaviside Function for Numerical Solution of Moving Load Problem
763 Dieeia Quaaue Poceue ih Diec Pojecio o he eavisie Fucio o Numeica Souio o Movig Loa Pobem bsac Oig o is aicua chaaceisics he iec isceizaio o he Diac-ea ucio is o easibe he oi isceizaio mehos ike he
More informationCurcuma alismatifolia GAGNEP. LEAF MODELING THE PEROID OF VEGETATIVE GROWTH
Cucua alisaifolia ANEP. EAF MODEIN THE PEROID OF VEETATIVE ROWTH Piyanee Hosuwan * Rungoe Nilhong MaejoUnivesiyPhae Capus Phae 0 THAIAND School of Science Mae Fahuang Univesiy Chiang Rai 00 THAIAND *e-ail:
More informationInterconnect delay. Interconnect delay. Elmore Delay. Elmore Delay. Elmore Delay. Elmore Delay
ercoec delay ercoec delay umed model harge i o The rasie ouu volage is dlh e l dlh. 69 ou( e More accurae ha lumed model More diicul o solve or large eed ull-scale SPE simulaio March 009 March 009 Sigle
More informationIntroduction. ENCE 710 Design of Steel Structures V. Lateral-Torsional Buckling of Beams. Introduction
NC 710 Desig of Seel Sucues V. Laeal-Tosioal Bucklig of Beams C. C. u, Ph.D., P.. Civil ad viomeal gieeig Deame Uivesi of alad Ioducio olloig sujecs ae coveed: Laeal Tosioal Bucklig (LTB) lage Local Bucklig
More informationDuration, convexity and portfolio immunization
//004 Chrisos apahrisodoulou, Mälardale Uiversiy, School of Busiess Duraio, covexiy ad porfolio immuizaio Some priciples of bods prices As is kow, a bod s price is give by: C C C F + r r( + ( + + F If
More informationCRITICAL VELOCITY OF FLUID CONVEYING PIPES RESTING ON TWO-PARAMETER FOUNDATION
Ieaioal Cofeece o Advaces i Sucual Dyamics ad is Applicaios ICASDA-5 Decembe 7-9 5 isahapaam CRITICA EOCITY OF FUID CONEYING PIPES RESTING ON TWO-PARAMETER FOUNDATION Kamesaa Rao Chellapilla Pofesso Mechaical
More informationCITY OF GAINESVILLE, FLORIDA SIGNING AND PAVEMENT MARKING PLANS
COPOES OF PLA SE SIGIG AD PAVEE ARKIG PLA CIY OF GAIESVILLE, FLORIDA CHIPLEY 10 75 95 ALLAHASSEE 10 JACKSOVILLE PESACOLA LAKE 295 W 8H AVE. CIY SIGIG AD PAVEE ARKIG PLAS DELAD 4 RIAL DESIG PROJEC LOCAIO
More informationLesson 8: Rational Expressions Digging Deeper solutions
Lesson : Raional Expessions Raional Equaions Acivi Solve. 1. Each weekda a mohe dives 5 miles o pick up he son fom socce pacice. She hen dives 5 miles o he gm o pick up he daughe. Due o heav affic, he
More informationExact solution for the flow of Oldroyd-B fluid due to constant shear and time dependent velocity
IOS oal o Maheai IOS-M e-issn: 78-578 -ISSN:39-765X Vole Ie 4 Ve II l-ag 4 PP 38-45 wwwiooalog Exa olio o he low o Oldoyd-B lid de o oa hea ad ie deede veloiy Vaala Mah Kavia Khadelwal Deae o Maheai Malaviya
More informationTransshipment LP Model for Minimizing the Utility Cost in a Heat Exchanger Network
Trasshipet LP Model for Miiizig the Utility ost i a eat Exchager Networ Niolaos V. ahiidis ad Igacio E. Grossa Departet of heical Egieerig aregie Mello Uiversity 1. Proble tateet Give is a process that
More informationMultiple Solutions for a Class of Concave-Convex Quasilinear Elliptic Systems with Nonlinear Boundary Condition
Alie Mahemaics 3 4 449-455 h://xoiorg/436/am34367 Publishe Olie March 3 (h://wwwscirorg/joural/am) Mulile Soluios or a Class o Cocae-Coex Quasiliear Elliic Sysems wih Noliear Bouary Coiio Li ag School
More informationMETHODS INDICATORS EQUIVALENCE FOR ECONOMIC RESEARCH OF THE LONG-TERM CAPITAL INVESTMENT PROJECT
Aals of he Uivesiy of Peoşai, Ecoomics, 3(), 203, 73-82 73 METHODS INDICATORS EQUIVALENCE FOR ECONOMIC RESEARCH OF THE LONG-TERM CAPITAL INVESTMENT PROJECT SORIN-IULIU MANGU, ILIE RĂSCOLEAN * ASTRACT:
More informationThe Term Structure, Monetary Policy Rules and The Short-Term Interest Rate Forecasting: A Dynamic Latent Factor Model. Song Gao. March 2006.
[Pelimiay da leae do cie wihou exlici emiio] The Tem Sucue Moeay Policy Rule ad The Sho-Tem Iee Rae Foecaig A Dyamic Lae Faco Model Sog Gao Deame o Ecoomic Wee Michiga Uiveiy Kalamazoo MI 49008 og.gao@wmich.edu
More informationExporting and Firm-Level Credit Constraints Evidence from Ghana
ERIA-P-25-27 ERIA iscussio Pae Seies Exoig ad Fim-Level Ced Cosas Evidece om Ghaa Mai Ah NGO Uives o Noh Caolia a Chael Hill Mach 25 Absac: This ae models how ims iace hei ixed coss o exoig hough eal iacig
More informationHYENA is based on a mathematical iteration process as follows:
HYENA (HYdro ENergy simulaor) Some Issues i a Simulaio Model of a Hydro Thermal Power Sysem. Skuli Johasso, Aad veldi ehf, Reykjavik, Icelad skuli@veldi.is ad Elias B Eliasso The Naioal Power Compay, Icelad,
More informationMillers, Commission Agents and Collusion in Grain Auction Markets: Evidence From Basmati Auctions in North India
CDE Sepebe, 004 Milles, Coissio Ages ad Collusio i ai Aucio Makes: Evidece o Basai Aucios i Noh Idia A. BANERJI Eail: a.baeji@ecodse.og J. V. MEENAKSHI Eail: eea@ecodse.og Delhi School of Ecooics Wokig
More informationReleased Assessment Questions, 2015 QUESTIONS
Relese Assessme Quesios, 25 QUESTIONS Gre 9 Assessme of Mhemis Alie Re he isruios elow. Alog wih his ookle, mke sure you hve he Aswer Bookle he Formul Shee. You my use y se i his ook for rough work for
More informationMinimum activity and maximum impurity rates for SIR samples. by A. Rytz. Bureau International des Poids et Mesures, F Sevres
Rapport BIPM-83/9 Miniu activity and axiu ipurity rates for SIR saples by A. Rytz Bureau International des Poids et Mesures, F-92310 Sevres Abstract Liiting values of saple activity (for an ionization
More informationPerformance of Locking Primitives at Low Levels of Contention
Preliiary: Do No Disribue Absrac Perorace o Lockig Priiives a Low Levels o Coeio Paul E. McKeey Seque Copuer Syses, Ic. July 5, 998 There has bee uch work doe odelig, siulaig, ad easurig he perorace o
More informationSouthampton and Rockledge to Frankford Transportation Center
4 2 i c Ju 8, 0 20 A T P SE f Ef hamp a clg Faf Taspai C Sig Fx Chas a Bhays Cusm Sic 25-580-7800 TDD/TTY 25-580-7853 www.spa.g hamp S.J C. Th Maplac ill is Jusa Fams By b 276 y Val ly Wa sh Pi Pi ME ILA
More informationA New Approach on Indoor Positioning System
Ieaal Coeee o Advaed Ioa ad Coua Teholog o Edua ICAICTE A ew Aoah o Idoo Pog Se La Che Chuu Mao Ja Zhao College o Mahea Ph ad Ioa Egeeg Zheag oal Uve Jhua Cha College o Xgh Zheag oal Uve Jhua Cha Aba Cae
More informationTHE CUSUM CHART FOR MONITORING SHORT PRODUCTION RUNS
THE CUSUM CHART FOR MOITORIG SHORT PRODUCTIO RUS George ees ad George Tagaras Arisole Uiversiy of Thessaloiki Deparme of Mechaical Egieerig 5424 Thessaloiki, Greece el.: +3 23 9967 fax.: +3 23 9968 gees@auh.gr,
More informationFACTORS INFLUENCING THE RESIDENCE TIME DISTRIBUTION IN CONTINUOUSLY-FED BATCH-TAPPED FURNACES. *R.T. Jones and Q.G. Reynolds
4 FACTORS INFLUENCING THE RESIDENCE TIME DISTRIBUTION IN CONTINUOUSLYFED BATCHTAPPED FURNACES *R.T. Joes ad Q.G. Reyolds Pyromeallurgy Divisio, Miek 00 Malibogwe Drive Privae Bag X305, Radburg, 5, Souh
More informationDelamination modelling in mechanical joints of composite laminates
Coposies A Delaiaio odellig i echaical jois of coposie laiaes Akı Aaş a,b, Cosaios Sois a a The Uiversiy of Sheffield, Sheffield, Uied Kigdo b Balikesir Uiversiy, Balikesir, Trkey www.sheffieldcoposies.co.k
More informationOffset Tracing in Hall Sensors by Integrated Temperature Coefficient Determination
7.4 Offse racig i Hall esors by Iegraed emperaure Coefficie Deermiaio Markus ahl-offergeld, Daiel Cicho, Has-Peer Hohe, dreas chüze Frauhofer Isiu Iegriere chaluge (II), Dep. IC Desig Mixed igal, Microsysems
More informationModelling of Turning Traffic Volume In Ibadan, Nigeria using Linear and Hybrid Furness-Fratar Techniques
IOSR Joural of Egieerig (IOSRJEN) e-issn: 2250-3021, p-issn: 2278-8719 Vol. 3, Issue 5 (May. 2013), VX PP 56-63 Modellig of Turig Traffic Volue I Ibada, Nigeria usig Liear ad Hybrid Furess-Fraar Techiques
More informationOn The Use of Replacement Model to Determine the Appropriate Time to Replace a Deteriorating Industrial Equipment
IOR Joural o Mahemaics IOR-JM e-in: 2278-5728, p-in:239-765x. Volume, Issue 2 Ver. I Mar-Apr. 24, PP 9-3 www.iosrjourals.org O The Use o Replaceme Model o Deermie he Appropriae Time o Replace a Deerioraig
More informationESTIMATION OF EXCESSIVE HVAC ENERGY CONSUMPTION DUE TO FAULTY VAV UNITS. Department of Urban and Environmental Engineering, Kyoto University 2
Ninh Inenaional IBPSA Coneence Monéal, Canada Augus -8, STIMATION OF XCSSIV HVAC NRGY CONSUMPTION DU TO FAULTY VAV UNITS Masao Miyaa, Haunoi Yoshida, Masahiko Asada, Kena Fujii 2, and Shio Hashiguchi 3
More informationMeasurement of Credit Risk Efficiency and Productivity Change for Commercial Banks in Taiwan
Meauee of Cedi Rik Efficiec ad Poducivi Chage fo Coecial Bak i Taiwa Kua-Chug Che Aia Pofeo of Depae of Buie Adiiaio, TaWold Uivei ack_acc@ail2000.co.w Che-Ha Kao Pofeo ad Chaia of Depae of Public Relaio
More informationSupporting Information
Suppoig Ifomaio Paeable Solve-Pocessed Temoplasic apie Elecodes Kevi J. Klude, Zac Nilsso, Jusi B. Sambu, ad Cales S. Hey Sep 1 Elecode Fabicaio- Soluio Pepaaio Small ceimee sized PMMA pieces (Opix, Plaskolie)
More informationNetwork Design in the Supply Chain. PowerPoint presentation to accompany Chopra and Meindl Supply Chain Management, 6e
5 Network Desig i the Supply Chai PowerPoit presetatio to accompay Chopra ad Meidl Supply Chai Maagemet, 6e Copyright 2016 Pearso Educatio, Ic. 5 1 Learig Objectives 1. Uderstad the role of etwork desig
More informationA Simple Critical Loss Test for the Geographical Market
A Sile Ciical Loss Tes fo he Geogahical Make Niklas Sand Swedish Coeiion Auhoiy Absac: In ode o aly coeiion law, akes have o be defined in he oduc sace and in he geogahical sace. The ake definiion is ofen
More informationInvestigation of gasification kinetics with lignite char and steam in a pressureless drop tube reactor
Deatmet of Eegy Pocess Egieeig ad hemical Egieeig Ivestigatio of gasificatio kietics with ligite cha ad steam i a essueless do tube eacto S. Rußig, M. Schuz, S. Kzack (IE Feibeg) IF1 TU Begakademie Feibeg
More informationRecent applications of operations research and efficient MIP formulations in open pit mining
Rece applicaios of operaios research ad efficie MIP formulaios i ope pi miig S. Ramaza ad R. Dimirakopoulos Research fellow, ad professor ad direcor, respecively, W.H. Brya Miig Geology Research Cere,
More informationResearch on Common Mode Noise Evaluation Method *
Research o Commo Mode Noise Evaluaio Mehod * Yoggao Zhag, Yali Gao, Mig Yao Qiag Dog School of Elecrical ad Elecroics Egieerig School of Elecrical ad Elecroics Egieerig Eas Chia Jiaoog Uiversiy Hubei Uiversiy
More informationComputer programming for prediction of soil bulk density effect on trencher design parameters
4 ecembe, 011 Vol. 4 No.4 Compue pogamming o pedicion o soil bulk densiy eec on enche design paamees ohamed Hassan ahab 1, oayed ohamed balal (1. epamen o Agiculual Engineeing, Faculy o Agiculue, Shamba,
More informationCITY OF THOROLD Official Plan
O 2 O 3 O 7 70 O U' O 122 20 O 117 O 118 O 119 llanburg O 120 O 123 O 121 O 112 O 113 O 114 O 115 O 116 BO O 140 O 141 O 137 O 138 O 135 O 136 O 139 POO O 143 O 144 O 145 O 146 ee chedule '-2' O 149 O
More informationLinear or Non-Linear: This is the Dilemma!
Linea o Non-Linea: This is he ilemma! Paolo Pasquaiello* Sen School o Business New Yok Univesiy Mach Absac simaion o he unknown di and diusion ems o a sochasic pocess epesening he spo inees ae has eceived
More informationMark Lutkenhoff, PIA for Asbestos, Physical Plant. From: Zach Hansmann, Environmental Coordinator, EHS
MEMORANDUM To: Mark Lutkenhoff, PIA for Asbestos, Physical Plant From: Zach Hansmann, Environmental Coordinator, EHS Date: September 22, 2011 RE: Clinical Center Skim Coat Plaster Clarification: Bldg 200
More informationAHP evaluation of different debris-removing methods Jingying Miao1, a
4th Intenational Confeence on Advanced Mateials and Infomation Technology Pocessing (AMITP 206) AHP evaluation of diffeent debis-emoving methods Jingying Miao, a School of Noth China Electic Poe Univesity,
More informationA model for black liquor gasification in a fluidized bed
A moel for lack liquor gasificatio i a fluiize e Z. Che a, A.F. Sarofim a,, M.J. Bockelie a a K. Whitty a Reactio Egieerig Iteratioal 77 W. S., Suite, Salt Lake City, UT 84 Deartmet of Chemical a Fuels
More informationPower Module Installation Notes for TELP Series
e Powe High Pefomance and Highly Reliable Solution Powe Notes fo TELP1-12662-0.9 Seies The powe module has lage emal expansion. When e module is unning and cycling ove lage tempeatue diffeence, e pope
More informationABSTRACT 1. INTRODUCTION
UTILIZATION OF GA FOR OPTIMIZATION OF TOOL PATH ON A 2D SURFACE Zlaa Car*, Toci Mikac*, Ivica Veza** *Deparme o idusrial egieerig ad maageme Faculy o Egieerig, Rijeka Uiversiy Vukovarska 58, 5000 Rijeka,
More informationEFFECTIVE RADIAL DIFFUSIVITIES TO MODEL ENHANCED MASS AND HEAT TRANSFER IN LAMINAR FLOW REACTORS
EFFETIVE RADIAL DIFFUSIVITIES TO MODEL ENHANED MASS AND HEAT TRANSFER IN LAMINAR FLOW REATORS J.A.T.A. DANTAS, A.O. MORAIS; J.A.W. GUT Uivesiy of São Paulo, Escola Poliécica, Depame of hemical Egieeig
More information1 1 1, ,000 1, , ,000 1, , ,000 1,150
. Which of the followig $,000 face-value securities has the lowest yield to maturity? A) a 5 percet coupo bod sellig for $,000 B) a 0 percet coupo bod sellig for $,000 C) a 5 percet coupo bod sellig for
More informationNumerical Solution of Ordinary Differentiation Equations
Numerical Soluio of Ordiar Differeiaio Equaios Oulie Boudar value problem Shooig mehod Fiie differece mehod Higher-Order Equaios ad Ssems Summar of Chaper 6 Numerical Mehods We-Chieh Li Boudar Value Problems
More informationCROCKER VILLAGE PHASE 1
PHASE EIGHBORHOOD SHOPPIG CEER WC CROCKER DRIVE & SUERVILLE ROAD SACRAMEO, CALIORIA 9588 VICIIY MAP PROJEC SUMMARY BUILDIG SUMMARY SHEE IDEX PROJEC SIE DESCRIPIO ADDRESS CROCKER DRIVE & SUERVILLE ROAD
More informationTuning the lambda parameter for language modeling based Persian retrieval
Uiversiy of Wollogog Research Olie Uiversiy of Wollogog i Dubai - Papers Uiversiy of Wollogog i Dubai 2008 Tuig he lambda parameer for laguage modelig based Persia rerieval Hadi Amiri Uiversiy of Tehra
More informationOptical Materials. Section 17. Materials
Optical Materials Sectio 17 Materials 17-1 Iex of Refractio Some commo iices: vacuum 1.0 helium 1.000036 hyroge 1.000132 air 1.000293 water 1.33 fuse silica 1.46 plastics 1.48-1.6 borosilicate crow glass
More informationOptical Materials. Section 17. Materials
Optical Materials Sectio 17 Materials 17-1 Iex of Refractio Some commo iices: vacuum 1.0 helium 1.000036 hyroge 1.000132 air 1.000293 water 1.33 fuse silica 1.46 plastics 1.48-1.6 borosilicate crow glass
More informationMathematical Modelling in Radioactive Waste Leaching Studies
Mahemaical Modellig i Radioacive Wase Leachig Sudies I. B. Plecas Vica Isiue of Nucleare Scieces, P.O. BOX 5 11001 Belgrade, Serbia ad Moeegro E-mail: iplecas@vi.bg.ac.yu Absrac. Traspor pheomea ivolved
More informationMODULE 3 LECTURE NOTES 6 RESERVOIR OPERATION AND RESERVOIR SIZING USING LP
Waer Resources Sysems Planning and Managemen: Linear Programming and Applicaions: Reservoir Operaion and Reservoir Sizing using LP 1 MODULE 3 LECTURE NOTES 6 RESERVOIR OPERATION AND RESERVOIR SIZING USING
More informationDynamic Economic Dispatch Based on Simple Algorithm
Ieraioal Joural of Compuer ad Elecrical Egieerig, Vol 3, No 2, April, 20 Dyamic Ecoomic Dispach Based o Simple Algorihm S GANESAN ad S SUBRAMANIAN Absrac his paper preses a simplified mehodology o solve
More informationInvestigation of the Lambda Parameter for Language Modeling Based Persian Retrieval
Ivesigaio of he Lambda Parameer for Laguage Modelig Based Persia Rerieval a Hadi Amiri, a Ashka Zarai, a Mahbod.Tavallaee, a Sadra Abedizadeh, a Masoud Rahgozar, a,b Farhad Oroumchia a Daabase Research
More informationModelling of Liquid Jet Break-up and Drop Formation
ece Pogess i Ik Je echologies II Copyigh 999, IS& Modellig o Liquid Je Beak-up ad Dop Fomaio P. Pieo, M. Nomadi, A. Soucemaiaadi, J.. Clemo ad P. Aaé Laboaoie de héologie - CNS & Uiv. J. Fouie, BP 53X
More informationProduct Description. Liko OriginalSling is a basic model which is designed to adapt to the patient without individual adjustments. Sizes.
Product Description Liko OriginalSling is a basic model which is designed to adapt to the patient without individual adjustments. Sizes Fabrics Leg Supports is a warning triangle used for situations which
More informationDesign and Application Notes for AP3768 System Solution
licaio oe 039 Desig ad licaio oes for 3768 ysem oluio reared by iu ei ysem Egieerig De.. roducio The 3768 is he geeraio rimary ide egulaio () coroller, which uses ulse Frequecy Modulaio (FM) mehod o realize
More informationKemal Ataturk Avenue Banani, Dhaka 1213, Bangladesh. without any troubles. It is also. cheap to buy when compared
up-as-turbie (AT) for Sall Scale ower Geeraio: A oparaive Aalysis Iheaz Muhaiee ossai #1, S.M. Ferdous #, Sayedus Salehi #3, Ahed Moruza Saleque #4, Taski Jaal #5 # Depare of Elecrical ad Elecroic Egieerig,
More informationChem : Feb.12-17
Chem. 25-26: Feb.2-7 Preparation Pre-lab Report (p.90) for E3 completed Discussion Presentation for E2 completed Pre-lab reading and studies for E3 completed Lab Agenda One hour discussion of E 2(Questions,
More informationVariability estimates and data comparison with higher order structure data
Variability estimates ad data compariso with higher order structure data Iva L. Budyak Biopharmaceutical Research ad Developmet Eli Lilly ad Compay April 03-05, 2017 HOS characterizatio data far-uv CD
More informationJournal of Chemical and Pharmaceutical Research, 2013, 5(9): Research Article. Small hydropower s construction and relative financial analysis
Available olie www.jopr.o Joural of Cheial ad Pharaeuial Researh, 2013, 5(9):263-267 Researh Arile SSN : 0975-7384 CODEN(USA) : JCPRC5 Sall hydropower s osruio ad relaive fiaial aalysis 1 Liu Yuaxi, 2
More informationThe contemporary Nickel Cycle
Center for Industrial Ecology Yale School of Forestry & Environmental Studies The contemporary Nickel Cycle (selection only) Barbara Reck April 24, 2006 Note The slides shown hereafter only include a selection
More informationReport PERMANENT MOUNTAIN PINE BEETLE POPULATION TREND PLOTS: AN UPDATE, Kenneth E. Gibson ABSTRACT
sdr4 rtf 43 41 pp Report 85-14 PERMANENT MOUNTAIN PINE BEETLE POPULATION TREND PLOTS: AN UPDATE, 1985 by Kenneth E. Gibson ABSTRACT This report includes information obtained in both 1983 and 1984. Beginning
More information8. Relax and do well.
EM 1515.001 Exam III John III. Gelder November 7, 2001 Name TA's Name Lab Section INSTRUTIONS: 1. This examination consists of a total of 9 different pages. The last three pages include a periodic table,
More informationWork hard. Be nice. Name: Period: Date: UNIT 2: Atomic Concepts Lesson 1: Give me an element, any element
1 Name: Period: Date: KIPP NYC College Prep General Chemistry UNIT 2: Atomic Concepts Lesson 1: Give me an element, any element Do Now: By the end of today, you will have an answer to: How do you know
More informationChem : Oct. 1 - Oct. 7
Chem. 125-126: Oct. 1 - Oct. 7 Preparation Pre-lab Report (p.90) for E3 completed Discussion Presentation for E2 completed Pre-lab reading and studies for E3 completed Agenda One hour discussion of E2(Questions,
More informationProduct & Submission Guidelines Model Trains
f o Poduct & Submissio Guidelies Model Tais Model Tais Pemium Posiig At Catawiki we auc model tais ad model ailoads of Pemium Quality which ae hade to fid & appealig to passioate model tai ethusiasts We
More informationWastewater Facility. Treatment. Collection. History. Current Status. Presented by Bruce Bender City Public Works Director
Wastewater Facility Presented by Bruce Bender City Public Works Director reatment Collection History Current Status 1963 - he WWP was constructed with a capacity of 50 million gallons/day (MGD) 1977 -
More informationDownloaded from CONNECTORS, ELECTRIC, RECTANGULAR, NONENVIRONMENTAL, MINIATURE, POLARIZED SHELL, RACK AND PANEL,
Downloaded fom hp://www.eveyspec.com bn!m?wl ML-c-24308c AMENDMENT2 30 June 1993 SUPERSEDNG AMENDMENT 1 26 Januay 1990 MLTARY SPECFCATON CONNECTORS, ELECTRC, RECTANGULAR, NONENVRONMENTAL, MNATURE, POLARZED
More informationA Study of Queuing Model for Banking System
Iteratioal Joural of Idustrial Egieerig ad Techology. ISSN 974-346 Volume 5, Number 23),. 2-26 Iteratioal Research Publicatio House htt://www.irhouse.com A Study of Queuig Model for Bakig System Toshiba
More informationIndustrial Automation (Automação de Processos Industriais)
Idusrial Auomaio (Auomação de rocessos Idusriais) Suervised Corol of Discree Eve Sysems h://users.isr.is.ul./~jag/courses/ai3/ai3.hml Slides / rof. aulo Jorge Oliveira Rev. -3 rof. José Gasar age Idusrial
More informationIntegrated and dynamic design of sustainable closed-loop supply chain network considering pricing
Scientia Iranica E (2018) 25(1), 410{430 Sharif University of Technology Scientia Iranica Transactions E: Industrial Engineering htt://scientiairanica.sharif.edu Integrated and dynamic design of sustainable
More informationEmployee Engagement December 4, Board of Education
Employee Engagement December 4, Board of Education Employee Engagement Survey Results and Analysis Rockford Public Schools School Year: -2019 Project Overview Engagement is the connection that individuals
More informationTime Series Descriptive Methods
Time Series Descripive Mehods Summar... 1 Daa Ipu... 3 Aalsis Summar... 4 Daa Table... 4 Aalsis Opios... 5 Horizoal Time Sequece Plo... 6 Verical Time Sequece Plo... 7 Auocorrelaios... 8 Auocorrelaio Fucio...
More informationPath Availability in Ad Hoc Network
Pah Aalabl A Hoc Newok Da Yu Hu L a Igo Gube Semes AG ICM N PG SP RC FR Gusa-Heema-Rg 5 873 Müche Gema Emal: Da.Yu@c.semes.e Tel. +49 89 636 4557 Fa: +49 89 636 4559 Absac. Due o he comple a hgh aomess
More informationEvaluating the Viability of Shea Butter Production: A Comparative Analysis
Research Joural of Fiace ad Accouig ISSN 2222-1697 (Pape ISSN 2222-2847 (Olie) Evaluaig he Viabiliy of Shea Buer Producio: A Comparaive Aalysis Harua Issahaku (Correspodig auho www.iise.org Deparme of
More informationAcceptance & Submission Guidelines
Acceptace & Submissio Guidelies Watches Pemium Posiig At Catawiki we auc exclusive, vitage ad collectable wist ad pocket watches fom all eputable kes. Because potetial buyes come to Catawiki lookig fo
More informationAttachment J-1: Government Site Hourly Rates - CIO-SP3 SB (Restricted)
Government Site Hourly Rates CIOSP3 SB (Small Business Category) : July 15, 2012 July 14, 2022 Attachment J1: Government Site Hourly Rates CIOSP3 SB (Restricted) 0002 AA01 Administrative Assistant Level
More informationNoblehurst Dairy Linwood, NY
Data Integrator Initial Data Summary Site Description This site is a dairy farm located in the Central New York town of Linwood. A 13 kw Caterpillar engine generator uses digester gas to produce electricity
More informationChapter Statistics for Business and Economics 7 th Edition. Chapter 8. Estimation: Additional Topics. Chapter Goals
Chapter 8 8-1 Statistics for Busiess a Ecoomics 7 th Eitio Chapter 8 Estimatio: Aitioal Topics Ch. 8-1 Chapter Goals After completig this chapter, ou shoul be able to: Form cofiece itervals for the ifferece
More informationThe challenge of multispeaker lip-reading
The chaege o uieae i-eaig Se Cox, Richa Haey, Yuxua La, Jaco Nea, Bay-J Theoa Schoo o Couig Sciece, Uie o Ea Agia, Noich, NR4 7TJ, UK. {.j.cox,..haey,y.a,jaco.ea,.heoa}@uea.ac.u Aac I eech ecogiio, he
More informationMarketing II Standards, Competencies, & Evidence of Mastery
Marketing II Standards, Competencies, & Evidence of Mastery This document accompanies the Missouri Marketing II Instructional Framework and lists the standards and competencies from the MBA Research Standards
More informationANALYTICAL REFERENCE MATERIALS INTERNATIONAL Part of LGC Standards 3 Perimeter Road, Unit 9 Manchester, NH USA
ANALYTICAL REFERENCE MATERIALS INTERNATIONAL Part of LGC Standards 3 Perimeter Road, Unit 9 Manchester, NH 03103 USA Tel: (603) 935-4100 E-mail: Sales@ARMI.com FAX: (603) 935-4101 (800) 421-9454 Web: www.armi.com
More informationA GATE OPERATION METHOD FOR DAMS WITHOUT SUPPORT FACILITY (A Dam Operation Method Using Only Reservoir Water Table)
A GATE OPERATION METHOD FOR DAMS WITHOUT SUPPORT FACILITY (A Dam Operaion Mehod Using Only Reservoir Waer Table) April 2016 Please conac wih Dr. Nguyen i Son Hung for deails nguyen@cie.co.jp ii A GATE
More informationAnalysis on the Influence of Backlash and Motor Input Voltage in Geared Servo System
- Analysis on he Influence of Backlash an Moo Inpu Volage in Geae Sevo Syse J. H. Baek Y. K. Kwak an S. H. Ki Absac his pape analyzes how he inpu volage of he oo an he agniue of he oal backlash of a sevo
More informationA Formula for Tetranacci-Like Sequence
Ge Math Notes, Vol 0, No, February 0, pp 6- ISSN 9-78; Copyright ICSRS Publicatio, 0 wwwi-csrsorg Available free olie at http://wwwgemai A Formula for Tetraacci-Like Sequece Bijedra Sigh, Pooja Bhadouria,
More informationDetermination of Strain Rate Sensitivity (SRS) for Grain Size Variants on Nanocrystalline Material Produced by ARB and ECAP
Wol Acaemy of Science, Engineeing an Technology Inenaional Jounal of Maeials an Meallugical Engineeing Vol:9, No:, 05 Deeminaion of Sain Rae Sensiiviy (SRS) fo Gain Size Vaians on Nanocysalline Maeial
More informationIC ( Ck C Cm CM Cb CB
Aendix Model secificaions Objecive funcion: Maximize [ r f F FS, fqr, f D fr, Q fr,, S Q, D r, fr r l cf FC H r, cf r, l, cf, + Ameniy + (CFlux -CFluxBase )*CarbonPrice + (Albedo - AlbedoBase )*CarbonPrice
More informationModern Approach In Concrete Segmental Design
37 35 33 31 29 27 25 23 21 19 17 15 13 11 9 7 5 3 1 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 38 36 34 32 30 28 26 24 22 20 18 16 14 12 10 8 6 4 2 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31
More informationBRYANDELMONTE.COM ATTRACT AND CONVERT YOUR HIGHEST-VALUE LIFETIME CUSTOMERS USING OUR SUITE OF KNOWLEDGE AND SERVICES. Attraction Advertising
BRYANDELMONTE.COM TM ATTRACT AND CONVERT YOUR HIGHEST-VALUE LIFETIME CUSTOMERS USING OUR SUITE OF KNOWLEDGE AND SERVICES. Attraction Advertising Welcome life long customers to your products and services.
More informationConceptual Questions. Fig Fig.1.27 EXERCISES
XRISS oncepual Quesions. The number of decimal places in a measuremen along wih he uni is an indicaor of he precision of an insrumen. escribe wha kind of insrumens can be used o produce measuremens of
More informationSCOPE OF ACCREDITATION TO ISO/IEC 17025:2005
SCOPE OF ACCREDITATION TO ISO/IEC 17025:2005 WESTMORELAND MECHANICAL TESTING & RESEARCH, INC. 221 Westmoreland Drive Youngstown, PA 15696 Michael Self Phone: 724 537 3131 E-mail: mself@wmtr.com CHEMICAL
More informationE3 Redox: Transferring electrons. Session one of two First hour: Discussion (E1) 2nd and 3rd hour: Lab (E3, Parts 1 and 2A)
E3 Redox: Transferring electrons Session one of two First hour: Discussion (E) 2nd and 3rd hour: Lab (E3, Parts and 2A) Oxidation-Reduction (Redox) Reactions involve electron transfer. Change in charge
More informationCORPORATE Tel: Fax:
CORPORTE PRESENTTION www.progecovigo.com Tel: +349862288 Fax: +34986228888 Email: progeco@progecovigo.com THE COMPNY Progeco Vigo, S.. was set up in 1994 as the first maritime container depot in the Port
More information