Simulation and Analysis for Layout of Aerospace Sheet Metal Process with Lean Concept Chikong Huang 1, Hsien-Ming Chang 2 and Chia-Hui Lin 3
|
|
- Luke Henderson
- 6 years ago
- Views:
Transcription
1 Materials Science Forum Vols (2006) pp online at (2006) Trans Tech Publications, Switzerland Online available since 2006/Jan/15 Simulation and Analysis for Layout of Aerospace Sheet Metal Process with Lean Concept Chikong Huang 1, Hsien-Ming Chang 2 and Chia-Hui Lin 3 1,2,3 Institute of Industrial Engineering and Management, National Yunlin University of Science & Technology 123, Section 3, University oad, Touliu, Yunlin, Taiwan 640,.O.C 1 huangck@yuntech.edu.tw, 2 g @yuntech.edu.tw, 3 g @yuntech.edu.tw Keywords: Lean Production, Job Shop, Cellular Manufacturing, Sheet Metal Process, Simulation. Abstract. Aerospace industry is a value-added and technology integrated industry. Sheet metal parts are important portion of aerostructures. The sheet metal production line combines five different routing types together. This study tries to make a comparison between job shop layout and cellular layout with lean concept. According to precedence diagram of sheet metal fabrication process, the model and measurement indicators can be constructed. The simulation software SIMPOCESS is then used to simulate the real-world cases under dynamic conditions. After the verification and validation process, we analyze the results that collected by simulation and provide the suggestions for the layout of aerospace sheet metal process. 1. Introduction Aerospace industry is a value-added and technology integrated industry. In addition, it is a technique-intensive, capital-intensive, and labor-intensive industry. It also integrates the mechanical, electronic, material, chemical and information technology. Sheet metal parts are important portion of aero-structures. There are thousands of different sheet metal parts in one aircraft. The attribute of sheet metal production line combines different processes of parts together (Sule 1994). According to the contour and function requirement, the aircraft sheet metal part includes five major processes are stretch forming, hydro forming, brake bending, roll forming and drop hammering.because of low quantity requirement of each part number, it is hard to achieve the economic quantity of automatic production. Therefore, introducing group technology and fabricating the parts by part family are suitable ways in aerospace industry. Many factors can influence the configuration of a manufacturing facility, and ultimately the efficiency of its operation. These may include product variety, operation times, production demands, process costs, number of moves, and so forth. (ichard E. Billo, 1998) This study tries to use software to simulate the process flow and figure out characteristics of both job shop and cellular layout for sheet metal shop to satisfy the requirement of customer and lean concept. 2. Literature eview 2.1 Lean Production In the early 1990s, the aerospace company that is the focus of this study initiated a lean approach to production using Kawasaki Production System (L. Bamber et al. 2000). Boeing introduced lean manufacturing in It succeeded to construct a moving assembly line in 1999 at Long Beach Plant by building B717 aircraft (Business Week 2001). Boeing 747 final assembly line introduced moving line technology in The results presented highly optimized production flows and processes, reducing cost and flow time from the traditionally 24 days to the targeted possible 18 days (oberto F. Lu 2002). Lockheed Martin applied lean techniques to the F-16, F-22 and C-130J in The simulation technology applied in aerospace, which can be used to cover a product s lifecycle, from conceptual design, through predefining detailed manufacturing processes to the final product assembly without any physical application required. Industrial demand is now increasing due to the significant benefits of simulation become more widely known e.g. cost saving, more efficient processes, shorter lead times etc. (Craig A. Murphy et al. 2001). Daniel W. Halpin and Marc All rights reserved. No part of contents of this paper may be reproduced or transmitted in any form or by any means without the written permission of the publisher: Trans Tech Publications Ltd, Switzerland, (ID: /04/08,12:34:40)
2 908 Progress on Advanced Manufacture for Micro/Nano Technology 2005 Kueckmann explore the relationship between simulation and the emerging topics of Lean Thinking and lean construction (Daniel W. Halpin et al. 2002). In this paper, we use the lean concept to create the indicators as evaluation criteria; use simulation software as a tool to simulate the real-world sheet metal processes of Job shop and cellular layout under dynamic conditions. 3. Modeling 3.1 Problem Analysis In this section, we will briefly describe the background and problem of production and precedence diagram of sheet metal process Problem Description Due to the investment of aerospace industry is high and the pay back period is long, the type of aircraft production belongs to make-to-order system. Quality, cost and delivery on schedule are the basic principle of production line management. The management levels of aircraft factory not only think about the balance of supply and demand, but also pay attention to adjust the organization/layout to absorb the fluctuation from market and reduce cycle time. Many evidences from literature review show cellular layout have good performance in assembly line, but the flow process of part fabrication is more complex than assembly line. There are five forming process constructed by 14-task centers in sheet metal production line. Process flows of sheet metal parts are complex in aerospace industry. Bottleneck of capacity will cause interaction effects between task centers in both the upstream and downstream. To figure out the results of job shop layout and cellular layout applied in fabrication line, this study assumes both the manpower and machines are limited, and it tries to develop the suitable layout to meet both lean principle and requirements of customers Precedence Diagram Consider the construction of task center: Some are depend on forming machines, e.g. stretch forming, hydro forming, rolling, brake bending etc. Some are depending on manpower, e.g. straightening, bench work etc. Consider the characteristics of task center: Some are common resource of difference processes, e.g. heat treatment, bench work etc. Some task centers just serve for one process, e.g. Stretch forming, rolling, joggling. The precedence diagram is shown as Figure 1. i=1 SB S NC i=2 SH S F i=3 i=4 SJ Q i=5 S SS Figure 1. Precedence Diagram of Sheet Metal Parts
3 Materials Science Forum Vols Measurement Indicators Base on the lean concept of waste reduction, cost reduction and continuous improvement, evaluation and measurement indicators are total throughput, cycle time and difference of percent utilization Define Parameters i : Process identification number. i =1~5 (1: Brake bending parts, 2: Hydro forming parts, 3: Joggling parts, 4: olling parts, 5: Stretch forming parts) ij : Identification number in the jth task center of process i. k : Layout identification number. k =1~2 (1: Job Shop Layout, 2: Cellular Layout) p i : Part proportion of process i. i=1~5 N : Total throughput of each process in unit period of time. n i : Total throughput of process i in unit period of time. T ij,setup : Setup time of form block in in the jth task center of process i. T ij,run : un time of sheet metal parts in the jth task center of process i. T ij,queue : Queue time of sheet metal parts in the jth task center of process i Objective Function The throughput of sheet metal factory shall higher than the requirements of assembly line to satisfy delivery schedule of each project. Therefore, control the cycle time to survive in the competitive market. educe the difference of percent utilization of machine/manpower to construct a balancing production environment. Total throughput, cycle time cost and difference of percent utilization of part are the evaluation factors in this study. Objective functions define as equation (1), (2), and (3): (1) Maximize Throughput (N): Maximize the total throughput of each process. Shown as equation (1): Max. N = ni = N pi (1) i i (2) Minimize Cycle Time (T i,cycle ): Minimize the total cycle time of each process. Shown as equation (2): Min. T. = ( T + T + T ) (2) i, cycle j ij, queue ij, setup ij, run (3) Minimize Difference of Percent Utilization ( U k ): Minimize the difference of percent utilization of resources in the same system/layout, shown as equation (3): Min. U = U U (3) k k, max k, min 3.3. Create Simulation Model The job shop layout put the same function resource in same task center. The cellular layout put the resources in the same cell when the machine/manpower needed in the same routing of sheet metal parts. 4. Simulations and Analysis 4.1 Simulation Procedure Step 1. Determine demand of sheet metal parts. Step 2. Base on relationship of each process to create the precedence diagram. Step 3. Determine the resources of sheet metal shop, including manpower and machines. Step 4. Generate block diagram of simulation software-simprocess. Step 5. Construct the relationship of each block (task center). Step 6. Collect and input the capacity parameters of each block (task center). Step 7. Use the Simprocess to simulate the sheet metal production line. Step 8. If he simulation model can satisfy the requirements of customer, run the simulation model 30 times and go to step 9.Otherwise, go back to step 3 and rearrange the resources. Step 9. Collect total throughput(n), cycle time(t i,cycle ) and difference of percent utilization( U k ) of sheet metal parts that gather from simulation report.
4 910 Progress on Advanced Manufacture for Micro/Nano Technology 2005 Step10.Analysis and evaluate the information collected from simulation results and provide suggestions. 4.2 Determine Simulation Parameters Estimate Total Throughput Project A, B, C and D belong to 4 different components, which required by 4 different tier one aircraft manufacturing companies. Consider the aircraft delivery quantity, schedule of each project, and 5% extra requirement. The total requirement quantity is EA/month at least esource Allocation The job shop layout and cellular have the same resources. The manpower in job shop layout is single-function operators, but in cellular layout are multi-skill operators. 4.3 Data Analysis Apply the total throughput, cycle time and the difference of percent utilization of resources as the evaluation indicators. Analysis the data that collected from Simprocess simulations after repeating 30 times, for the job shop and cellular layout Total Throughput Calculate the total throughput of each process after simulation, the result shown as Table 1. CaseⅠ - Transport right away versus every 2 hours: Transport right away: The total throughput of job shop layout (36,317 EA) is larger than cellular layout (36,253 EA). The total throughput of cellular layout is 98.74% of job shop layout. Transport every 2 hours: The total throughput of job shop layout (34,360 EA) is smaller than cellular layout (35,118 EA). The total throughput of cellular layout is % of job shop layout. CaseⅡ - Job Shop versus Cellular Layout : In job shop layout, the total throughput of transport every two hours is 94.61% of transport right away. In cellular layout, the total throughput of transport every two hours is 96.86% of transport right away. Table1. Total throughput of each process Transport right away Transport every 2 hours outing Job Shop Cell Job Shop Cell S 1,867 1,868 1,804 1,846 SH 17,798 17,787 16,800 17,136 SS 1,356 1,356 1,312 1,340 SB 13,430 13,377 12,640 12,953 SJ 1,866 1,865 1,804 1,843 Total 36,317 36,253 34,360 35, Cycle Time Collect the cycle time in each approach, the result shown as Table 2: CaseⅠ - Transport right away versus every 2 hours: Transport right away: The cycle time of job shop layout is shorter than cellular layout in 4 processes (hydro forming, stretch forming, bending and joggling) of sheet metal parts. The cycle time of job shop layout is 54%-91% of cellular layout except rolling process (105%). Transport every 2 hours:
5 Materials Science Forum Vols The cycle time of job shop layout is longer than cellular layout in each process of sheet metal parts. The cycle time of job shop layout is times of cellular layout. CaseⅡ - Job Shop versus Cellular Layout : In job shop layout, the cycle time of transport every two hours is times of transport right away. In cellular layout, the cycle time of transport every two hours is times of transport right away. Table 2. Cycle time of different approach (Unit: Hour) outing Transport right away Transport every 2 hours Job Shop Cell Job Shop Cell S SH SS SB SJ Difference of Percent Utilization Collect the Percent Utilization in each approach, the result shown as Table 3 and 4: Table3. Percent Utilization in job shop layout esource Name Percent Utilization (U) Transport right away Transport every 2 Hrs Joggler 89.47% 89.47% NC outer 82.80% 82.80% Bench Work 66.27% 64.41% Hydro Forming Machine 64.95% 63.23% Power Brake 77.68% 75.86% Stretch Forming Machine 90.93% 90.93% Hand outer 84.51% 83.51% Straightening 88.41% 85.42% oller 86.12% 86.12% U 25.98% 27.70% Table4. Percent Utilization in cellular layout esource Name Percent Utilization Transport right away Transport every 2 Hrs Joggler 89.47% 89.47% NC outer 82.80% 82.80% Straighten.outer&Bench-S 80.31% 80.31% Straighten.outer&Bench-SJ 80.30% 80.30% Hydro Forming Machine 64.95% 63.61% Power Brake 77.68% 76.52% Straighten.outer&Bench-SS 58.52% 58.52% Straighten&Bench-SB 83.72% 83.99% Straighten&Bench-SH 89.57% 87.87% Stretch Forming Machine 90.93% 90.93% oller 86.12% 86.12% U 32.42% 32.42%
6 912 Progress on Advanced Manufacture for Micro/Nano Technology 2005 CaseⅠ - Transport right away versus every 2 hours: Transport right away: The difference of percent utilization of the task centers in job shop layout (25.98%) is smaller than cellular layout (34.42%) in each process of sheet metal parts. Transport every 2 hours: The difference of percent utilization of the task centers in job shop layout (27.70%) is smaller than cellular layout (34.42%)in each process of sheet metal parts. CaseⅡ - Job Shop versus Cellular Layout : In job shop layout, the difference of percent utilization is 25.98% if transport right away. If transport every 2 hours, it will increase to 27.70%. The percent utilization of upper stream is the same, but the down stream is reduced which caused by late coming of WIP when transport every two hours. In cellular layout, the difference of percent utilization is 32.42% if transport right away. If transport every 2 hours, it is the same. The percent utilization of upper stream is the same, the variation of down stream is from -1.70% to 0.27% when transport every two hours. 5. Conclusion From the model construction and validation process, this study provides the following suggestions: 1. In job shop layout of sheet metal shop, line balance is a key factor of performance. Bottlenecks occur when load and capacity is not balance and impact the performance. 2. In cellular layout of sheet metal shop, manager must focus on resource allocation on each process/cell to make sure the throughput can reach the demand. From the evaluation and analysis process, this study provides the following conclusions: 1. In the real-world situation (transport parts every two hours), the total throughput/cycle time of cellular layout is better than job shop layout. But in the ideal condition (transport right away), the total throughput/cycle time of cellular layout is worse than job shop layout. 2. Transportation frequency influences the total throughput/cycle time. Due to more interfaces and transportation point in job shop layout, the influence of transportation frequency of job shop layout is higher than cellular layout. Therefore, increase the transportation frequency can improve the performance of total throughput/cycle time. 3. The difference of percent utilization of the task centers in job shop layout is smaller than cellular layout of sheet metal parts. The influence of transportation frequency to job shop layout is higher than cellular layout. 4. In job shop layout, the difference of percent utilization is 25.98% if transport right away. If transport every 2 hours, it will increase to 27.70%. The percent utilization of upper stream (NC outer, joggling, stretch forming etc.) is the same, but the down stream (Bench work, straightening etc.) is reduced which is caused by late coming of WIP (work in process) when transport every two hours. 5. In cellular layout, the difference of percent utilization is 32.42% if transport right away; and if transport every 2 hours is the same. The percent utilization of upper stream (NC outer, joggling, stretch forming etc.) is the same, the variation of down stream (Bench work, straightening etc.) is from -1.70% to 0.27% when transport every two hours. eference [1] Business Week, 2001, Boeing Goes Lean, 06/04/2001 Issue 3735, p94b, 3p; (AN ) [2] Craig A. Murphy &Terrence D. Perera, 2001, The Definition and Potential ole of Simulation within an Aerospace Company, Proceedings of the 2001 Winter Simulation Conference, B. A. Peters, [3] Daniel W. Halpin and Marc Kueckmann, 2002, Lean Construction and Simulation, Proceedings of the 2002 Winter Simulation Conference, E. Yücesan, C.-H. Chen, J. L. Snowdon, and J. M. Charnes, eds.pp
7 Materials Science Forum Vols [4] L. Bamber and B.G.Dale, 2000, Lean production: a study of application in a traditional manufacturing environment, Production Planning & Control, Vol. 11, No.3, pp [5] oberto F. Lu, 2002, Manufacturing Process Modeling of Boeing 747 Moving Line Concepts, Proceedings of the 2002 Winter Simulation Conference, E. Yücesan, C-H. Chen, J. L. Snowdon, and J. M. Charnes, eds, pp
Ch 19 Flexible Manufacturing Systems
Ch 19 Flexible Manufacturing Systems Sections: 1. What is a Flexible Manufacturing System? 2. FMS Components 3. FMS Applications and Benefits 4. FMS Planning and Implementation Issues 5. Quantitative Analysis
More informationTHE ROLE OF SIMULATION IN ADVANCED PLANNING AND SCHEDULING. Kenneth Musselman Jean O Reilly Steven Duket
Proceedings of the 2002 Winter Simulation Conference E. Yücesan, C.-H. Chen, J. L. Snowdon, and J. M. Charnes, eds. THE ROLE OF SIMULATION IN ADVANCED PLANNING AND SCHEDULING Kenneth Musselman Jean O Reilly
More informationCAD/CAM CHAPTER ONE INTRODUCTION. Dr. Ibrahim Naimi
CAD/CAM CHAPTER ONE INTRODUCTION Dr. Ibrahim Naimi Production System Facilities The facilities in the production system are the factory, production machines and tooling, material handling equipment,
More informationA Machine Setup Model for TFT-LCD Cell Back-End Process
A Machine Setup Model for TFT-LCD Cell Back-End Process Y.-C. Chang 1, P.-S. Chen 2, P.-C. Chen 1 1 Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu, Taiwan
More information7/8/2017 CAD/CAM. Dr. Ibrahim Al-Naimi. Chapter one. Introduction
CAD/CAM Dr. Ibrahim Al-Naimi Chapter one Introduction 1 2 3 Production System Facilities The facilities in the production system are the factory, production machines and tooling, material handling equipment,
More informationAbstract Number: A Feasibility Study for Joint Services of Vehicle Routing and Patrol
Abstract Number: 011-0101 A Feasibility Study for Joint Services of Vehicle Routing and Patrol Chikong Huang *1 Stephen C. Shih 2 Poshun Wang 3 *1 Professor, Department of Industrial anagement, Institute
More informationProductivity Improvement in Plastic Bag Manufacturing Through Lean Manufacturing Concepts: A Case Study
Applied Mechanics and Materials Online: 2011-10-24 ISSN: 1662-7482, Vols. 110-116, pp 1975-1982 doi:10.4028/www.scientific.net/amm.110-116.1975 2012 Trans Tech Publications, Switzerland Productivity Improvement
More informationA BOTTLENECK DETECTION AND DYNAMIC DISPATCHING STRATEGY FOR SEMICONDUCTOR WAFER FABRICATION FACILITIES. Zhugen Zhou Oliver Rose
Proceedings of the 2009 Winter Simulation Conference M. D. Rossetti, R. R. Hill, B. Johansson, A. Dunkin, and R. G. Ingalls, eds. A BOTTLENECK DETECTION AND DYNAMIC DISPATCHING STRATEGY FOR SEMICONDUCTOR
More informationLean Six Sigma Assembly Transformation
Lean Six Sigma Assembly Transformation Assembly Operation converted to one piece flow assembly lines to improve throughput and efficiency. Problem Statement The first issue was ramping production to meet
More informationJustifying Simulation. Why use simulation? Accurate Depiction of Reality. Insightful system evaluations
Why use simulation? Accurate Depiction of Reality Anyone can perform a simple analysis manually. However, as the complexity of the analysis increases, so does the need to employ computer-based tools. While
More informationMicrosoft Business Solutions-Axapta Production enables you to flexibly manage your manufacturing processes for increased profitability.
Microsoft Business Solutions Axapta Production gives you real-time insight into your manufacturing processes to help you increase production efficiency and reduce costs. Key Benefits: Minimize lead times
More informationAnalysis and simulation of one worker with multi-machine mode
Advanced Materials Research Online: 2014-02-06 ISSN: 1662-8985, Vols. 889-890, pp 1227-1230 doi:10.4028/www.scientific.net/amr.889-890.1227 2014 Trans Tech Publications, Switzerland Analysis and simulation
More informationOptimizing Inplant Supply Chain in Steel Plants by Integrating Lean Manufacturing and Theory of Constrains through Dynamic Simulation
Optimizing Inplant Supply Chain in Steel Plants by Integrating Lean Manufacturing and Theory of Constrains through Dynamic Simulation Atanu Mukherjee, President, Dastur Business and Technology Consulting,
More informationFlow and Pull Systems
Online Student Guide Flow and Pull Systems OpusWorks 2016, All Rights Reserved 1 Table of Contents LEARNING OBJECTIVES... 4 INTRODUCTION... 4 BENEFITS OF FLOW AND PULL... 5 CLEARING ROADBLOCKS... 5 APPROACH
More informationTHE DEFINITION AND POTENTIAL ROLE OF SIMULATION WITHIN AN AEROSPACE COMPANY. Craig A. Murphy Terrence D. Perera
Proceedings of the 2001 Winter Conference B. A. Peters, J. S. Smith, D. J. Medeiros, and M. W. Rohrer, eds. THE DEFINITION AND POTENTIAL ROLE OF SIMULATION WITHIN AN AEROSPACE COMPANY Craig A. Murphy Terrence
More informationFlexible Manufacturing systems. Lec 4. Dr. Mirza Jahanzaib
Flexible Manufacturing systems AB A. Bottleneck kmdl Model Lec 4 Dr. Mirza Jahanzaib Where to Apply FMS Technology The plant presently either: Produces parts in batches or Uses manned GT cells and management
More informationHsien-Ming CHANG Aerospace MBA Toulouse Business School Toulouse, France
Competitive Operation Model for the Supply Chain of Aircraft Composite Parts Hsien-Ming CHANG Aerospace MBA Toulouse Business School Toulouse, France Abstract The demand trend of civil aircraft is stable
More informationCHAPTER 1 INTRODUCTION
1 CHAPTER 1 INTRODUCTION 1.1 MANUFACTURING SYSTEM Manufacturing, a branch of industry, is the application of tools and processes for the transformation of raw materials into finished products. The manufacturing
More information2015 Program Excellence Award
2015 Program Excellence Award Phase I Submission Name of Program: F-22 Raptor Vapor Cycle Controller Partnering Service Depot Stand-Up Name of Program Leader: Peter Anderson Phone Number: 647-444-9136
More informationMass Customized Large Scale Production System with Learning Curve Consideration
Mass Customized Large Scale Production System with Learning Curve Consideration KuoWei Chen and Richard Lee Storch Industrial & Systems Engineering, University of Washington, Seattle, U.S.A {kwc206,rlstorch}@uw.edu
More informationMANUFACTURING PROCESS MODELING OF BOEING 747 MOVING LINE CONCEPTS. Roberto F. Lu Shankar Sundaram
Proceedings of the 22 Winter Simulation Conference E. Yücesan, C.-H. Chen, J. L. Snowdon, and J. M. Charnes, eds. MANUFACTURING PROCESS MODELING OF BOEING 747 MOVING LINE CONCEPTS Roberto F. Lu Shankar
More information100192, China 2 School of Mechanical and Electrical Engineering, BISTU, Beijing, , China
Advanced Materials Research Online: 2013-06-27 ISSN: 1662-8985, Vols. 712-715, pp 2625-2630 doi:10.4028/www.scientific.net/amr.712-715.2625 2013 Trans Tech Publications, Switzerland Study of Connecting
More informationSimulation Study Based on OpenTrack on Carrying Capacity in District of Beijing-Shanghai High-speed Railway
Applied Mechanics and Materials Online: 2014-01-16 ISSN: 1662-7482, Vols. 505-506, pp 567-570 doi:10.4028/www.scientific.net/amm.505-506.567 2014 Trans Tech Publications, Switzerland Simulation Study Based
More informationPLUS VALUE STREAM MAPPING
LEAN PRINCIPLES PLUS VALUE STREAM MAPPING Lean Principles for the Job Shop (v. Aug 06) 1 Lean Principles for the Job Shop (v. Aug 06) 2 Lean Principles for the Job Shop (v. Aug 06) 3 Lean Principles for
More informationManufacturing Resource Planning
Outline Manufacturing Resource Planning MRP The Strategic Importance of Short- Term Scheduling Scheduling Issues Forward and Backward Scheduling Scheduling Criteria Outline Continued Scheduling Process-Focused
More informationDELMIA V5.18 expands IBM Product Lifecycle Management digital manufacturing
IBM Europe Announcement ZP08-0153, dated March 11, 2008 DELMIA V5.18 expands IBM Product Lifecycle Management digital manufacturing Description...2 Product positioning... 4 Reference information... 5 At
More informationDELMIA V5.17 extends the IBM Product Lifecycle Management solutions portfolio
IBM Europe Announcement ZP07-0453, dated October 16, 2007 DELMIA V5.17 extends the IBM Product Lifecycle Management solutions portfolio Description...2 Product positioning... 5 Reference information...
More informationA CASE STUDY OF PRODUCTION LINE BALANCING WITH SIMULATION
A CASE STUDY OF PRODUCTION LINE BALANCING WITH SIMULATION Intan Bazliah Mohd Faculty of Engineering Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300 Kuantan, Pahang Email: intanbazliahmohd80@gmail.com
More informationTecnomatix Plant Simulation
Value Stream Mapping Library Benefits Increase productivity of existing production facilities by as much as 20 percent Reduce investment in planning for new production by as much as 20 percent Reduce inventories
More informationIT 470a Six Sigma Chapter X
Chapter X Lean Enterprise IT 470a Six Sigma Chapter X Definitions Raw Materials component items purchased and received from suppliers WIP work in process, items that are in production on the factory floor
More informationInvestigating the Influences of Automated Guided Vehicles (AGVs) as Material Transportation for Automotive Assembly Process
Journal of Mechanical Engineering Vol SI 4 (1), 47-60, 2017 Investigating the Influences of Automated Guided Vehicles (AGVs) as Material Transportation for Automotive Assembly Process Seha Saffar * Centre
More informationUse of Simulation in Different Phases of Manufacturing System Life Cycle
Use of Simulation in Different Phases of Manufacturing System Life Cycle Asish Tripathy 1, Dr.K. Mohapatra 2, Subhashree Pothal 3, Durga Prasanna Mohanty 4 1,3Asst. Professor, Department of Mechanical
More informationLean for Manufacturing: Adapting Lean for High-Mix Low-Volume Manufacturing
Lean for Manufacturing: Adapting Lean for High-Mix Low-Volume Manufacturing May 10, 2018 TIME 7:00 8:00 a.m. REGISTRATION TOPIC 8:00 9:00 a.m. JobshopLean: Adapting Lean for High-Mix Low-Volume (HMLV)
More informationUnderstanding Manufacturing Execution Systems (MES)
Understanding Manufacturing Execution Systems (MES) What is a Manufacturing Execution System (MES)? AMR Research, a Boston-based industry and market analysis firm, defines a Manufacturing Executing System
More informationFactory Physics Analytics with applications to Project Production
Factory Physics Analytics with applications to Project Production FACTORY PHYSICS is a registered trademark of Factory Physics Inc. All rights reserved. Why Factory Physics Analytics? Projects are like
More informationOutput from the 1998 Product Development Value Stream Workshop: A Framework for Understanding Information Flow in the Product Development Process
The Lean Aerospace Initiative Working Paper Series WP01-01 October 2001 Output from the 1998 Product Development Value Stream Workshop: A Framework for Understanding Information Flow in the Product Development
More informationAn Optimized and Integrated Supply Chain Planning Architecture for Paper and Film Manufacturers
An Optimized and Integrated Supply Chain ning Architecture for Paper and Film Manufacturers Bart Van de Velde Executive Vice President OM Partners USA 1700 Water Place SE, Ste 304 Atlanta, GA 30339 USA
More informationFlexible Labor Assignment in Cellular Manufacturing System (A Simulation and DEA Approach)
Proceedings of the 2012 International Conference on Industrial Engineering and Operations Management Istanbul, Turkey, July 3 6, 2012 Flexible Labor Assignment in Cellular Manufacturing System (A Simulation
More informationA WIP Balance Study from Viewpoint of Tool Group in a Wafer Fab
Integrationsaspekte der Simulation: Technik, Organisation und Personal Gert Zülch & Patricia Stock (Hrsg.) Karlsruhe, KIT Scientific Publishing 2010 A WIP Balance Study from Viewpoint of Tool Group in
More informationDiscrete Event Simulation for Increasing Productivity in Digital Manufacturing
International Journal of Engineering Research and Development ISSN: 2278-067X, Volume 1, Issue 10 (June 2012), PP.36-40 www.ijerd.com Discrete Event Simulation for Increasing Productivity in Digital Manufacturing
More informationTitle: Implementing Oracle Discrete manufacturing in an Engineer to Order environment. Characteristics of typical Engineer to Order Environment
Title: Implementing Oracle Discrete manufacturing in an Engineer to Order environment Name : Somnath Majumdar Company : Infosys Technologies Executive Summary Companies today are moving towards customized
More informationSHOP SCHEDULING USING TABU SEARCH AND SIMULATION. Mark T. Traband
Proceedings of the 2002 Winter Simulation Conference E. Yücesan, C.-H. Chen, J. L. Snowdon, and J. M. Charnes, eds. SHOP SCHEDULING USING TABU SEARCH AND SIMULATION Daniel A. Finke D. J. Medeiros Department
More informationPERFORMANCE ANALYSES OF CONWIP CONTROLLED PRODUCTION SYSTEM USING SIMULATION
PERFORMANCE ANALYSES OF CONWIP CONTROLLED PRODUCTION SYSTEM USING SIMULATION ROTARU Ana University of Pitesti, Faculty of Mechanics and Technology, Department of Management and Technology e-mail: ana_c_rotaru@yahoo.com
More informationDISPATCHING HEURISTIC FOR WAFER FABRICATION. Loo Hay Lee Loon Ching Tang Soon Chee Chan
Proceedings of the 2001 Winter Simulation Conference B. A. Peters, J. S. Smith, D. J. Medeiros, and M. W. Rohrer, eds. DISPATCHING HEURISTIC FOR WAFER FABRICATION Loo Hay Lee Loon Ching Tang Soon Chee
More informationA DECISION TOOL FOR ASSEMBLY LINE BREAKDOWN ACTION. Roland Menassa
Proceedings of the 2004 Winter Simulation Conference R.G. Ingalls, M. D. Rossetti, J. S. Smith, and. A. Peters, eds. A DECISION TOOL FOR ASSEMLY LINE REAKDOWN ACTION Frank Shin ala Ram Aman Gupta Xuefeng
More informationMODELLING AND SIMULATION OF PRODUCTION FLOW IN JOB-SHOP PRODUCTION SYSTEM WITH ENTERPRISE DYNAMICS SOFTWARE
Applied Computer Science, vol. 13, no. 4, pp. 87 97 doi: 10.23743/acs-2017-32 Submitted: 2017-11-15 Revised: 2017-12-04 Accepted: 2017-12-20 modelling, computer simulation, manufacturing, production flow,
More informationAGV Controlled FMS. The ITB Journal. Fergus G. Maughan. Volume 1 Issue 1 Article 5
The ITB Journal Volume 1 Issue 1 Article 5 2000 AGV Controlled FMS Fergus G. Maughan Follow this and additional works at: http://arrow.dit.ie/itbj Part of the Other Operations Research, Systems Engineering
More informationGuidance for Managing Product Change
Guidance for Managing Product Change Most organizations with product development or manufacturing responsibilities must manage product change. Typically this is handled as a Change Order, Change Request,
More informationMM 323 MANUFACTURING SYSTEMS PRODUCTION AND LAYOUT TYPES
MM 323 MANUFACTURING SYSTEMS PRODUCTION AND LAYOUT TYPES THERE ARE TWO INDUSTRY TYPES THAT FACTORIES ARE LOCATED IN 1) Process industries, e.g., chemicals, petroleum, basic metals, foods and beverages,
More informationProduction Activity Control
Production Activity Control Here the progress of manufacturing operations in the workshop is recorded. Also the material transactions tied to the Open WO s are entered. Open Work Order Maintenance Window
More informationFinished goods available to meet Takt time when variations in customer demand exist.
Delaware Valley Industrial Resource Center 2905 Southampton Road Philadelphia, PA 19154 Tel: (215) 464-8550 Fax: (215) 464-8570 www.dvirc.org Term Batch-and-Queue Processing Buffer Stock Catchball Cell
More informationDisk Drive Manufacturers Move Ahead with RFID-Enabled Media Process Line
Case study Disk Drive Manufacturers Move Ahead with RFID-Enabled Media Process Line The world s disk drive manufacturers are positioned at the heart of today s information-centric world. Throughout their
More informationNDIA 12 th Annual Systems Engineering Conference The Role of Simulation to Track Mobile Assets Using Automatic Identification Systems
NDIA 12 th Annual Systems Engineering Conference The Role of Simulation to Track Mobile Assets Using Automatic Identification Systems Swee Leong NIST Swee.Leong@nist.gov 301-975-5426 October 26-29, 2009
More informationUsing Magnetic Nanoparticles to Enhance Gene Transfection. on Magneto-electroporation Microchips
Materials Science Forum Online: 2006-01-15 ISSN: 1662-9752, Vols. 505-507, pp 661-666 doi:10.4028/www.scientific.net/msf.505-507.661 2006 Trans Tech Publications, Switzerland Using Magnetic Nanoparticles
More informationModeling, Analysis, Simulation and Control of Semiconductor Manufacturing Systems: A Generalized Stochastic Colored Timed Petri Net Approach
Modeling, Analysis, Simulation and Control of Semiconductor Manufacturing Systems: A Generalized Stochastic Colored Timed Petri Net Approach Ming-Hung Lin and Li-Chen F u Dept. of Computer Science and
More informationThermodynamics-Based Semi-Empirical Description of Liquidus Surface and Partition Coefficients in Ternary Al-Mg-Si alloy
Materials Science Forum Vols. 414-415 00 pp. -8 online at http://www.scientific.net 00 Trans Tech Publications, Switzerland Thermodynamics-ased Semi-Empirical Description of iquidus Surface and Partition
More informationLean Operations. PowerPoint slides by Jeff Heyl. Copyright 2017 Pearson Education, Inc.
Lean Operations 16 PowerPoint presentation to accompany Heizer, Render, Munson Operations Management, Twelfth Edition Principles of Operations Management, Tenth Edition PowerPoint slides by Jeff Heyl 16-1
More informationApplication research on traffic modal choice based on decision tree algorithm Zhenghong Peng 1,a, Xin Luan 2,b
Applied Mechanics and Materials Online: 011-09-08 ISSN: 166-748, Vols. 97-98, pp 843-848 doi:10.408/www.scientific.net/amm.97-98.843 011 Trans Tech Publications, Switzerland Application research on traffic
More informationIntroduction to Computer Integrated Manufacturing Environment
Introduction to Computer Integrated Manufacturing Environment I. What are the problems facing manufacturing industries today? External pressures: *Technological advancements *Increased cost, quality, and
More informationOnline Student Guide Standard Work
Online Student Guide Standard Work OpusWorks 2016, All Rights Reserved 1 Table of Contents LEARNING OBJECTIVES... 3 INTRODUCTION... 3 BENEFITS OF STANDARD WORK... 3 IMPLEMENTATION OF STANDARD WORK... 3
More informationDELMIA QUEST. The Systems Integration, Process Flow Design and Visualization Solution
Resour ce Modeling & Simulation DELMIA QUEST The Systems Integration, Process Flow Design and Visualization Solution QUEST DELMIA QUEST is a complete 3D digital factory environment for The Systems Integration,
More informationCombining Activity-Based Costing with the Simulation of a Cellular Manufacturing System
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Industrial and Management Systems Engineering Faculty Publications Industrial and Management Systems Engineering 2001 Combining
More informationAvailable online at ScienceDirect. Procedia CIRP 40 (2016 )
Available online at www.sciencedirect.com ScienceDirect Procedia CIRP 40 (2016 ) 590 595 13th Global Conference on Sustainable Manufacturing - Decoupling Growth from Resource Use Re-engineering Assembly
More informationDATA DRIVEN DESIGN AND SIMULATION SYSTEM BASED ON XML. Guixiu Qiao Frank Riddick Charles McLean
Proceedings of the 2003 Winter Simulation Conference S. Chick, P. J. Sánchez, D. Ferrin, and D. J. Morrice, eds. DATA DRIVEN DESIGN AND SIMULATION SYSTEM BASED ON XML Guixiu Qiao Frank Riddick Charles
More informationFactory Operations Research Center (FORCe II)
Factory Operations Research Center (FORCe II) SRC/ISMT 2004-OJ-1214 Configuration, monitoring and control of semiconductor supply chains Jan. 7, 2005 Shi-Chung Chang (task 1) Argon Chen (task 2) Yon Chou
More informationTexas A&M Industrial Engineering 9/23/99
anufacturing System anufacturing System Planning and Analysis Characterized by: Number of machines Number of part types Part routes through the system Processing times achine setups emand patterns Raw
More information2015 Program Excellence Award. Sub-System Sustainment
2015 Program Excellence Award I. Program Overview Organization Name/Program Name: Honeywell / F-22 Raptor Vapor Cycle Controller Partnering Service Depot Stand-Up Program Leader Name/ Position/Contact
More informationSIMUL8-PLANNER FOR COMPOSITES MANUFACTURING
Proceedings of the 2006 Winter Simulation Conference L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, eds. SIMUL8-PLANNER FOR COMPOSITES MANUFACTURING Kim Hindle Project
More informationLIFE CYCLE AND COST ANALYSIS FOR MODULAR RE-CONFIGURABLE FINAL ASSEMBLY SYSTEMS
LIFE CYCLE AND COST ANALYSIS FOR MODULAR RE-CONFIGURABLE FINAL ASSEMBLY SYSTEMS Juhani Heilala, Kaj Helin, Jari Montonen, Otso Vaatainen VTT Industrial Systems, P.O.Box 1702, FIN-02044 VTT, Finland Abstract:
More informationShort-Term. Scheduling
Short-Term 15 Scheduling PowerPoint presentation to accompany Heizer, Render, Munson Operations Management, Twelfth Edition Principles of Operations Management, Tenth Edition PowerPoint slides by Jeff
More informationDesigning a Composite Material for Use in Brake Applications
Materials Science Forum Online: 2005-01-15 ISSN: 1662-9752, Vols. 475-479, pp 1109-1112 doi:10.4028/www.scientific.net/msf.475-479.1109 2005 Trans Tech Publications, Switzerland Designing a Composite Material
More informationOne-off Batch High volume production (mass production) One-off: Custom - built kitchen Batch: Olympic medals High volume: Garden table / chairs
The selection of materials and components is determined by the manufacturing processes involved and the scale of production. However, in an attempt to reduce manufacturing costs and overall costs, products
More informationChapter 6. Design of Manufacturing Systems II Pull System
Chapter 6 Design of Manufacturing Systems II Pull System Evolution of cost, quality and worker s satisfaction: 1. Handicraft, 2.Taylorism, 3. High volume automation, 4. Flexible automation, 5. Concurrent
More informationLecture 6. Capacity and Facilities. Lecture Outline. Capacity. Maximum capability to produce Capacity planning
MGS4700 Operations Management Capacity and Facilities ecture 6 ecture Outline Capacity Planning Facility ayout Basic ayouts Designing Process ayouts Designing Service ayouts Designing Product ayouts Hybrid
More informationA Case Study of Capacitated Scheduling
A Case Study of Capacitated Scheduling Rosana Beatriz Baptista Haddad rosana.haddad@cenpra.gov.br; Marcius Fabius Henriques de Carvalho marcius.carvalho@cenpra.gov.br Department of Production Management
More informationRecent Product Developments with Ultra-Thin Cast Strip Products Produced by the CASTRIP Process
FASTER SMARTER THINNER BETTER Recent Product Developments with Ultra-Thin Cast Strip Products Produced by the CASTRIP Process By Chris R. Killmore, Kristin R. Carpenter, Harold R. Kaul & James G. Williams
More informationINVENTORY & MATERIALS MANAGEMENT Course Assignment VERSION 17
INVENTORY & MATERIALS MANAGEMENT Course Assignment VERSION 17 COPYRIGHT 1997 BY QMUZIK All rights reserved. The contents, nor any part thereof, nor the format, the configuration or any other aspect thereof
More informationA Dynamic Releasing Scheme for Wafer Fabrication
A Dynamic Scheme for Wafer Fabrication A Dynamic Scheme for Wafer Fabrication 1 Yu-Hsin Lin, 2* Chih-Hung Tsai, 3 Ching-En Lee and 3 Sheng-Kaung Liu 1 Department of Industrial Engineering and Management
More informationUSING SIMULATION TO SUPPORT IMPLEMENTATION OF FLEXIBLE MANUFACTURING CELL. Kambiz Farahmand
Proceedings of the Winter Simulation Conference J. A. Joines, R. R. Barton, K. Kang, and P. A. Fishwick, eds. USING SIMULATION TO SUPPORT IMPLEMENTATION OF FLEXIBLE MANUFACTURING CELL Kambiz Texas A&M
More informationA Variable Capacity Parallel Machine Scheduling Problem
Proceedings of the 2012 International Conference on Industrial Engineering and Operations Management Istanbul, Turkey, July 3 6, 2012 A Variable Capacity Parallel Machine Scheduling Problem Emine Akyol
More informationLecture 9 MBF2213 Operations Management Prepared by Dr Khairul Anuar. L9: Lean synchronization
Lecture 9 MBF2213 Operations Management Prepared by Dr Khairul Anuar L9: Lean synchronization 1 Lean operations Operations strategy Design Improvement Lean operations Planning and control The market requires
More informationCONVERTING SIMULATION DATA TO COMPARATIVE INCOME STATEMENTS
CONVERTING SIMULATION DATA TO COMPARATIVE INCOME STATEMENTS L. Leslie Gardner Mary E. Grant Laurie J. Rolston If a manufacturing system was a money amplifier, an accountant would see it like this: 2 If
More informationMODELING LOT ROUTING SOFTWARE THROUGH DISCRETE-EVENT SIMULATION. Chad D. DeJong Thomas Jefferson
Proceedings of the 1999 Winter Simulation Conference P. A. Farrington, H. B. Nembhard, D. T. Sturrock, and G. W. Evans, eds. MODELING LOT ROUTING SOFTWARE THROUGH DISCRETE-EVENT SIMULATION Chad D. DeJong
More informationInstallation Manual. Omnicell. Model: 9101 FB by Fairbanks Scales, Inc. Revision 2 03/16 All rights reserved
Installation Manual Omnicell Model: 9101 FB 51172 2016 by Fairbanks Scales, Inc. Revision 2 03/16 All rights reserved Amendment Record Omnicell 9101 FB DOCUMENT 51172 Manufactured by Fairbanks Scales
More informationFactory Modeling. The Priority Enterprise Management System. Contents
The Priority Enterprise Management System Factory Modeling Contents Introduction...2 Parts...3 Bills of Materials and Revisions...3 Engineering Change Orders (ECO)...4 Part Routings...4 s...5 Work Cells...5
More informationMANUFACTURING PROCESSES (SME
MANUFACTURING PROCESSES (SME 2713 ) Introduction 2 Dept. of Materials, Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia 1. Methods of Production
More informationCOMPARING ALTERNATIVE PLANT LAYOUTS BASED ON CRAFT AND BLOCPLAN ALGORITHMS
COMPARING ALTERNATIVE PLANT LAYOUTS BASED ON CRAFT AND BLOCPLAN ALGORITHMS Leonardo 1, Hotma Antoni Hutahaean 2, Hui-Ming Wee 3 1,2 Department of Industrial Engineering, Atma Jaya Catholic University of
More informationA Hit-Rate Based Dispatching Rule For Semiconductor Manufacturing
International Journal of Industrial Engineering, 15(1), 73-82, 2008. A Hit-Rate Based Dispatching Rule For Semiconductor Manufacturing Muh-Cherng Wu and Ting-Uao Hung Department of Industrial Engineering
More informationKeywords: Product Family Design, Production Cost Estimation Framework, Activity Based Costing, Product Family Structure, Resource Sharing Methods
DEVELOPMENT OF A PRODUCTION COST ESTIMATION FRAMEWORK TO SUPPORT PRODUCT FAMILY DESIGN Jaeil Park 1 and Timothy W. Simpson 2* Department of Industrial & Manufacturing Engineering Penn State University,
More informationComputer-Integrated Manufacturing
Supplement F Supplement F Computer-Integrated Manufacturing Computer-Integrated Manufacturing TRUE/FALSE 1. Computer-integrated manufacturing (CIM) is an umbrella term for the total integration of product
More informationISE480 Sequencing and Scheduling
ISE480 Sequencing and Scheduling INTRODUCTION ISE480 Sequencing and Scheduling 2012 2013 Spring term What is Scheduling About? Planning (deciding what to do) and scheduling (setting an order and time for
More informationSubbu Ramakrishnan. Manufacturing Finance with SAP. ERP Financials. Bonn Boston
Subbu Ramakrishnan Manufacturing Finance with SAP ERP Financials Bonn Boston Contents at a Glance 1 Overview of Manufacturing Scenarios Supported by SAP... 25 2 Overview of Finance Activities in a Make-to-Stock
More informationLearning Objectives. Systems Engineering Management. MSE607B Chapter 4 Engineering Design Methods and Tools
Engineering Management Systems Engineering Management MSE607B Chapter 4 Engineering Design Methods and Tools Learning Objectives Briefly highlight some of the recent concepts in design Conventional design
More informationProduction Scheduling
Production Scheduling MRP, TOC & Lean Arthur Greef Software Architect Dynamics AX Production Microsoft Corporation Outline 2 Product & production classification MRP, CRP and job dispatching TOC scheduling
More informationCity, Taiwan. Keywords: FLHP, Sintering temperature, Permeability, Constant temperature region
Applied Mechanics and Materials Submitted: 2014-06-02 ISSN: 1662-7482, Vols. 602-605, pp 528-532 Accepted: 2014-06-11 doi:10.4028/www.scientific.net/amm.602-605.528 Online: 2014-08-11 2014 Trans Tech Publications,
More informationA PM on Lean Production Randel Ltd.
A PM on Lean Production Randel Ltd. RANDEL LTD. INDUSTRY STREET 8 38267 WOMANCHESTER ENGLAND Written by: Tobias Reith, BSc Course: Lean Production (2016) Linköping University, Sweden A PM ON LEAN PRODUCTION
More informationREAL-TIME DISPATCHING SYSTEM OF GIGA-FAB
REAL-TIME DISPATCHING SYSTEM OF GIGA-FAB YING-MEI TU Department of Industrial Management, Chung-Hua University, Taiwan, R.O.C. E-mail: amytu@chu.edu.tw Abstract Semiconductor manufacturing companies have
More informationChapter 13. Lean and Sustainable Supply Chains
1 Chapter 13 Lean and Sustainable Supply Chains 2 OBJECTIVES Lean Production Defined The Toyota Production System Lean Implementation Requirements Lean Services Lean Production 3 Lean Production can be
More informationDevelopment of Production Layout Model to Improve Production Efficiency
Development of Production Layout Model to Improve Production Efficiency A. R. AB Kadir, W.M.K.Sajidah, C.A. Mohd Norzaimi, K. Shahril, and M. Sabri, Universiti Kuala Lumpur Malaysian Spanish Institute,
More informationProcessModel Simulation to Show Benefits of Kanban/Pull System
ProcessModel Simulation to Show Benefits of Kanban/Pull System Nicholas Loyd Michael McNairy Alabama Technology Network University of Alabama in Huntsville Huntsville, AL 35899 loydn@uah.edu mcnairm@uah.edu
More information