World-class maintenance using a computerised maintenance management system
|
|
- Robyn Craig
- 5 years ago
- Views:
Transcription
1 JQME 4,1 66 World-class maintenance using a computerised maintenance management system Ashraf W. Labib University of Manchester Institute of Science and Technology (UMIST), Manchester, UK Introduction With the increasing demand on productivity, quality, and availability, machines have become more complex and capital intensive. Developing and implementing a maintenance programme is a difficult process that suffers from many problems. It often suffers from lack of a systematic and a consistent methodology. In addition, since the process of developing the programme relates to different parties with interests in maintenance, it becomes difficult to achieve all round satisfaction of these parties, and at the same time achieve the objectives of the company. Developing a maintenance programme is an iterative process that involves different decision makers, who may have conflicting objectives. In deriving these objectives maintenance managers usually try to achieve multiple, and sometimes, conflicting objectives such as maximising throughput, availability, and quality subject to constraints on production plan, available spares, manpower, and skills. World class World class can be defined as a tool used to search for and allow a company to perform at a best-on-class level. It is useful to use the plant as the level of analysis because, although world-class manufacturing (WCM) is a strategic approach, many of its measurable improvements initiatives have occurred at the plant level (Flynn et al., 1989; Mackenzie, 1977). Strategic considerations and operational decisions are influenced by other corporate functions such as production, finance, quality, and human resources. It is true that the information gathered by these systems at the operational level and actions taken are in fact strategic improved asset availability, productivity, and quality, as well as resource management, inventory control, planning, and so on. Journal of Quality in Maintenance Engineering, Vol. 4 No. 1, 1998, pp MCB University Press, Maintenance and CMMS It is believed that an available CMMS (computerised maintenance management system) is not an aim by itself, but rather a platform for decision analysis that can lead to the development of the world-class model. This coincides with the
2 view presented by Olafsson (1990) regarding TPM implementation, where it is emphasised that an early prerequisite for TPM implementation in a company, is the development of a CMMS for collecting and recording the data for TPM implementation. However, experience gained by the author in developing computerised maintenance management systems (CMMS) in several automotive industries (Labib, 1996; Labib et al., 1996a, b; 1997a) has shown that managers rely on such systems for data collection and data analysis, but seldom for decision analysis. A data collection system that can gather relevant data is prerequisite for worldclass status. It is advantageous to have a data collection system that is real-time, and that can handle data related to frequency and duration of maintenance breakdowns as well as spare parts costs, while enhancing and utilising knowledge of operators and maintenance engineers. A practical example of such a system is the breakdown recording system developed at Meritor (UK) (Labib et al., 1997b) where data are collected systematically in a real time basis, and analysed accordingly. The two objectives of this paper are to demonstrate a practical methodology for adding value to data collected through offering decision analysis, as well as facilitating the link between preventive maintenance and emergency maintenance in an adaptable and dynamic approach. World-class maintenance 67 Model implementation The first step towards minimising emergency maintenance was to analyse breakdowns through dividing the time spent for a breakdown into phases. The second step was to develop solutions that could minimise each of the identified phases. Although each of those solutions was relatively a simple improvement idea, however, the total outcome was a substantial improvement. Different phases and their corresponding solutions are illustrated in Figure 1. In general, downtime was categorised into three main phases; response phase, diagnostics phase, and repair phase. Response phase is the time between the occurrence of a breakdown and the attendance of a maintenance engineer. It passes through sub-phases of realisation by production operator, to reporting to the CMMS, and finally to logging on by maintenance technician. It is considered purely a wasted time that ought to be not just minimised but eliminated totally. Solutions that have been implemented were to network the CMMS between production and maintenance departments, and to link the CMMS to alarms and bleepers via a PLC (programmable logic controller). Diagnostic phase is considered to be the time spent in identifying the cause of breakdown and means of rectifying it. It is often the case in advanced machinery that this phase consumes the majority of time taken to deal with breakdown problems. In order to minimise this phase, solutions were implemented to address two main requirements; improve skills, and provision of knowledge regarding past maintenance actions done for the machine in
3 JQME 4,1 How Did We Get Here? Breakdowns have been reduced by 80% and Corrective Actions by 60%. Downtime Waste Time Diagnostic Repair 68 (Breakdown Starts) Minimised By: Production Log On Skills Maintenance Log On Skills and Spares Maintenance Log Off (Breakdown Finishes) Figure 1. Downtime phases and solutions implemented Networking Alarm Bleep TPM Operator help menus of previous faults Automate ordering Failure mode analysis MCDMG. question. Solutions included the provision of past maintenance actions during logging on by maintenance, as well the provision of multi-levelled analytic reports examining failure mode trees using a prioritisation mathematical tool called the analytic hierarchy process (AHP) (Labib et al., 1998) that is related to TPM schedules. The repair phase is the time taken to implement rectification of the breakdown problem. This phase often needs the provision of adequate tools and spare parts, in addition to the skill needed to carry out the action. This phase was minimised by the development of a maintenance spare parts ordering system that automated ordering spares as well as monitoring suppliers. In addition a decision making grid (DMG) was developed to help in monitoring performance of machines and suggesting appropriate actions. This solution is the subject of the remaining part of the paper. The effect of the DMG helps in the repair phase and, more importantly, it helps in minimising and preventing breakdowns from occurring in the first place. The main idea of the model is to transfer data collected from an existing computerised maintenance system, such as the data shown in Figure 2, into decision analysis for management using a decision making grid as shown in Figure 3. The first step is to extract the worst performing machines based on different criteria. This is shown in Figure 2, where the top ten worst machines according to both downtime and number of calls are presented. As shown, according to the downtime criterion, 89 per cent of the problems originated from ten machines out of total 130 machines available. As for the frequency of calls criterion, 81 per cent of the problems originate from ten machines. The next step is to subdivide both criteria, downtime and frequency, into high, medium and low values. For example, downtime is considered low if less
4 Criteria: HIGH MEDIUM LOW Downtime Name Machine [A] Machine [B] Machine [C] Machine [D] Machine [E] Machine [F] Machine [G] Machine [H] Machine [I] Machine [J] Sum of Top 10 Sum of All Percentage Downtime (hrs) % Frequency Name Machine [G] Machine [C] Machine [D] Machine [A] Machine [I] Machine [E] Machine [k] Machine [F] Machine [B] Machine [H ] Sum of Top 10 Sum of All Percentage Frequency (No. off) % HIGH MEDIUM LOW World-class maintenance 69 Figure 2. Criteria evaluation than 10 hours, high if more than 20, and medium if between 11 and 19. The same applies to the criterion of frequency but using a different scale. The objective is to try to cater for the ten worst machines under both criteria. Decision rules The final step is to place the machines in the decision making grid shown in Figure 3, and accordingly, to recommend maintenance decisions to management. This grid acts as a map where the performances of the worst machines are placed based on multiple criteria. The objective is to implement appropriate actions that will lead to the movement of machines towards the north-west section of low downtime, and low frequency. In the top-left region, the action to implement, or the rule that applies, is OTF (operate to failure). The rule that applies for the bottom-left region is SLU (skill level upgrade) because data collected from breakdowns attended by maintenance engineers indicate that machine [G] has been visited many times (high frequency) for FREQUENCY Low 5 Med. 10 High DOWNTIME Low Med. High T.F. T.P.M. C.B.M. [H] (When?) [F] [B] T.P.M. [I] T.P.M. T.P.M. (Who?) [J] [E] (What?) [A] S.L.U. T.P.M. D.O.M. [G] (How?) [D] [C] CBM: Condition Based Monitoring SLU: Skill Level Upgrade OTF: Operate To failure DOM: Design Out M/C. Figure 3. Decision making grid (DMG)
5 JQME 4,1 70 limited periods (low downtime). In other words maintaining this machine is a relatively easy task that can be passed to operators after upgrading their skill levels. A machine that is located in the top-right region, such as machine [B], is a problematic machine, in maintenance words a killer. It does not break down frequently (low frequency), but when it stops it is usually a big problem that lasts for a long time (high downtime). In this case the appropriate action to take is to analyse the breakdown events and closely monitor its condition, i.e. condition base monitoring (CBM). A tool that is useful for this kind of analysis is the MCDM system based on AHP where failure criteria and their sub-criteria are prioritised. A machine that enters the bottom-right region is considered to be one of the worst performing machines based on both criteria. It is a machine that maintenance engineers are used to seeing not working rather than performing normal operating duty. A machine of this category, such as machine [C], will need to be structurally modified and major design-out projects need to be considered, and hence the appropriate rule to implement will be design out maintenance (DOM). If one of the antecedents is a medium downtime or a medium frequency, then the rule to apply is to carry on with the preventive maintenance schedules. However, not all of the mediums are the same. There are some regions that are near to the top left corner where it is easy TPM because it is near to the OTF region and it requires re-addressing issues regarding who will perform the instruction or when will the instruction be implemented. For example, in case of machines [I] and [J], they are situated in a region between OTF and SLU and the question is about who will do the instruction operator, maintenance engineer, or sub-contractor. Also, a machine such as machine [F] has been shifted from the OTF region owing to its relatively higher downtime and hence the timing of instructions needs to be addressed. Other preventive maintenance schedules need to be addressed in a different manner. The difficult TPM issues are the ones related to the contents of the instruction itself. It might be the case that the wrong problem is being solved or the right one is not being solved adequately. In this case machines such as [A] and [D] need to be investigated in terms of the contents of their preventive instructions and expert advice is needed. Industrial case study This case study demonstrates the application of the proposed model and its effect on maintenance performance. The application of the model is shown through the experience of a company seeking to achieve world-class status in maintenance. The company has implemented the proposed model, which has had the effect of reducing total downtime from 800 hours per month to less than 100 hours per month as shown in Figure 4.
6 Breakdown Trends (hrs.) 1200 World-class maintenance Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Figure 4. Total breakdown trends per month Company background and methodology The company is in the automotive sector producing roof systems and is part of one of the world leaders in the design and manufacture of automotive systems. In this particular company there are 130 machines, varying from robots, and machine centres, to manually operated assembly tables. Notice that in this case study, only two criteria are used (frequency and downtime). However, if more criteria are included such as spare parts cost and scrap rate, the model becomes multi dimensional, with low, medium, and high ranges for each identified criterion. The methodology implemented in this case was to follow three steps. These steps are: criteria analysis, decision mapping, and decision support, and are presented in Figure 5. Step 1: criteria analysis As indicated earlier the aim of this phase is to establish a Pareto analysis of two important criteria: downtime, the main concern of production; and frequency of calls, the main concern of maintenance. The objective of this phase is to assess how bad are the worst performing machines for a certain period of time, say one month. The worst performers in both criteria are sorted and grouped into high, medium, and low sub-groups. This is presented in Figure 6. Step 2: decision mapping The aim of this step is twofold; it scales high, medium, and low groups and hence genuine worst machines in both criteria can be monitored on this grid. It also monitors the performance of different machines and suggest appropriate actions, as explained earlier. This step is shown in Figure 7.
7 JQME 4,1 72 Figure 5. Steps for decision analysis Figure 6. Step 1: criteria analysis
8 World-class maintenance 73 Figure 7. Step 2: decision mapping Step 3: decision support Once the worst performing machines are identified and the appropriate action is suggested, it is now a case of identifying the cost of each action, or the amount of money expected to be saved if the appropriate action is implemented. This is done by multiplying the hourly rate of production hours by the number of production operators allocated on those machines by the hours wasted in each machine and then averaging the value for each category. This step is shown in Figure 8. Results The results of implementing the decision making grid have been a continuous reduction in total downtime, as indicated in breakdown trend in Figure 4. Notice that although the same grid is used every month, the range of the scales differs. Since breakdown duration has been reduced, accordingly the scale had to be altered. For example, what used to be considered a low downtime (five hours or less) is now considered a medium range, and what used to be considered medium, is now a high value. When big problems are dealt with, the attention is focused on smaller ones and they are treated as major problems. This shows that a process of continuous improvement is being implemented. In addition, even when the scale is tightened, there is seldom any machine in the DOM region which shows that a total shift towards the favourable north-west zone of the grid is being achieved.
9 JQME 4,1 74 Figure 8. Step 3: decision support Discussion and conclusion The main objective of this paper is to emphasise the fact that the right policy to counter any mode of failure is that which improves the life cycle profit or most reduces the life cycle cost. The logic used throughout our derivation of the model is aimed at reducing the cause of breakdowns in the form of identifying and analysing different criteria such as downtime, frequency, spare parts used, and bottle-neck status. Finding and improving the worst machines is not a new concept, as it is the core concept of TPM. However, using a formalised decision analysis approach based on multiple criteria and rule-based system is the contribution of the presented model. The decision making grid shown in the case study is considered a map where the performances of the worst machines are monitored based on multiple criteria, and actions are taken based on the relative position of the machines in this grid. It is sometimes claimed that all items in a series system with no inter-stage store are of equal importance. This claim is based on the fact that a bottleneck is the one controlling throughput and hence bottleneck is the sole criterion for assessment. However, as identified by Goldratt (1986), bottlenecks often change and when dealing with machines in terms of breakdown criticality, one reduces their possibility of becoming candidates as bottlenecks by tackling the cause of failure based on multiple criteria rather than one criterion.
10 References Flynn, B.B., Bates K.A. and Schroeder, R.G. (1989), World class manufacturing in the United States, Proceedings of the Decision Sciences Institute, New Orleans, Decision Science Institute, USA. Goldratt, E. and Cox, J. (1986), The Goal A Process of Ongoing Improvement, North River Press, Croton-on-Hudson, NY. Labib, A.W. (1996), Integrated and interactive appropriate productive maintenance, PhD thesis, University of Birmingham, UK. Labib, A.W., Cutting, M.C. and Williams, G.B. (1997b), Towards a world class maintenance programme, Proceedings of CIRP Int. Symposium: Advanced Design & Manufacture In The Global Manufacturing Era, Hong Kong, August. Labib, A.W., O Connor, R.F. and Williams, G.B. (1998), An effective maintenance system using the analytic hierarchy process, Journal of Integrated Manufacturing Systems, Vol. 9 No 2, April. Labib, A.W., Williams, G.B. and O Connor, R.F. (1996a), Formulation of an appropriate productive maintenance strategy using multiple criteria decision making, Maintenance Journal, Vol. 11 No 11, April. Labib, A.W., Williams, G.B. and O Connor, R.F. (1996b), An intelligent decision analysis maintenance system: application of AHP and fuzzy logic, Proceedings of The Fourth International Symposium on AHP, Vancouver, Canada, July. Labib, A.W., Williams, G.B. and O Connor, R.F. (1997a), Deriving a maintenance strategy through the application of an MCDM methodology, (Lecture Notes in Economics and Mathematical Systems, No. 448, Multiple Criteria Decision Making), Proceedings of the 12th Int. Conference, Germany, Springer-Verlag, Berlin. Mackenzie, J. (1997), Turn your company s strategy into reality, Manufacturing Mgmt, January, pp Olafsson, S.V. (1990), An analysis for total productive maintenance implementation, MSc thesis, Virginia Polytechnic and State University, USA. World-class maintenance 75
An Effective and Efficient Model for the Selection of Maintenance Strategy
An Effective and Efficient Model for the Selection of Maintenance Strategy Professor Ashraf W. Labib University of Portsmouth, Portsmouth Business School, Richmond Building, Portland Street, Portsmouth
More informationMaintenance Decision Making, Supported By Computerized Maintenance Management System
Western New England University From the SelectedWorks of Mohammadsadegh Mobin Spring January 24, 216 Maintenance Decision Making, Supported By Computerized Maintenance Management System Mohammadsadegh
More informationRESEARCH PAPERS FACULTY OF MATERIALS SCIENCE AND TECHNOLOGY IN TRNAVA SLOVAK UNIVERSITY OF TECHNOLOGY IN BRATISLAVA
RESEARCH PAPERS FACULTY OF MATERIALS SCIENCE AND TECHNOLOGY IN TRNAVA SLOVAK UNIVERSITY OF TECHNOLOGY IN BRATISLAVA 2012 Special Number EQUIPMENT CATEGORIZATION AS A BASIS TO IMPROVE THE ORGANIZATION OF
More informationA MAINTENANCE POLICY SELECTION TOOL FOR INDUSTRIAL MACHINE PARTS
A MAINTENANCE POLICY SELECTION TOOL FOR INDUSTRIAL MACHINE PARTS Jean ~halil', Sameh M saad2, Nabil ~ i n d Ken ~ ~, ac~echnie~ I- School of Mechanical, Materials, Manufacturing Engineering and Operations
More informationIntroduction to RAM. What is RAM? Why choose RAM Analysis?
Introduction to RAM What is RAM? RAM refers to Reliability, Availability and Maintainability. Reliability is the probability of survival after the unit/system operates for a certain period of time (e.g.
More informationMeasure What You Manage. Michael Cowley, CPMM President CE Maintenance Solutions, LLC
Measure What You Manage Michael Cowley, CPMM President CE Maintenance Solutions, LLC Define Maintenance Scorecards Discuss Required Prerequisites Explain 10 Common Maintenance Scorecards Review Your Return-on-Investment
More informationThe Certified Business Analyst Professional. Contents are subject to change. For the latest updates visit
The Certified Business Analyst Professional Page 1 of 9 Why Attend In today s competitive environment, professional analysts who possess critical analytical thinking skills are a major asset for any organization.
More informationUsing Theory of Constraints and ABC to Enhance Cost Calculations at DuoGraphic B.V. - a Case Study -
Using Theory of Constraints and ABC to Enhance Cost Calculations at DuoGraphic B.V. - a Case Study - Dr. Philip Vergauwen Universiteit Maastricht Faculty of Economics & Business Administration MARC, Accounting
More informationAnalysis of Failure Modes and Selection of Maintenance Strategy for Vital Machines in a Tea Industry
IJSTE - International Journal of Science Technology & Engineering Volume 2 Issue 05 November 2015 ISSN (online): 2349-784X Analysis of Failure Modes and Selection of Maintenance Strategy for Vital Machines
More informationANALYZING THE COMPUTER-AIDED MAINTENANCE DATA OF A COMMERCIAL BUILDING COMPLEX
ANALYZING THE COMPUTER-AIDED MAINTENANCE DATA OF A COMMERCIAL BUILDING COMPLEX Joseph H.K. Lai* and Francis W.H. Yik Department of Building Services Engineering, Hong Kong Polytechnic University, Hong
More informationProject Management. Learning Objectives. What are Projects? Dr. Richard Jerz. Describe or Explain:
Project Management Dr. Richard Jerz 1 Learning Objectives Describe or Explain: What are projects The role of the project manager Work breakdown structure Project management tools (Gantt, PERT, & CPM) The
More informationProject Management. Dr. Richard Jerz rjerz.com
Project Management Dr. Richard Jerz 1 2010 rjerz.com Learning Objectives Describe or Explain: What are projects The role of the project manager Work breakdown structure Project management tools (Gantt,
More informationAXIONAL Enterprise CMMS. Enterprise Computerized Maintenance Management System
deister software AXIONAL Enterprise CMMS Enterprise Computerized Maintenance Management System Contents FUNCTIONS..................................................................................3 Asset
More informationMANUFACTURING EXECUTION SYSTEM. Global Dom coordinates the whole plant by providing an integrated control and automation system.
MANUFACTURING EXECUTION SYSTEM Control And Automation Global Dom coordinates the whole plant by providing an integrated control and automation system. Each area of the production process (such as pickling,
More informationChapter 6 Planning and Controlling Production: Work-in-Process and Finished-Good Inventories. Omar Maguiña Rivero
Chapter 6 Planning and Controlling Production: Work-in-Process and Finished-Good Inventories Learning Objectives At the end of the class the student will be able to: 1. Describe the production budget process
More informationProjects: Stray Rescue
Projects: Stray Rescue James Page, Jr., PMP, U. S. Postal Service Ninoska Clarkin, Edward Jones Lynn Pias, Monsanto Jim Bostick, PMP, CSC Barbara Strang, PMP Just the facts by two independent research
More informationMaintenance & Dependability Effective Maintenance Planning and Productivity Improvement Potentials
Maintenance & Dependability Effective Maintenance Planning and Productivity Improvement Potentials Maheshwaran Gopalakrishnan PhD Student, Chalmers University of Technology Department of Industrial and
More informationReliability Improvement using Defect Elimination
Reliability Improvement using Defect Elimination A Three-Prong Approach The Keystone to Safe, Reliable, Profitable Production Michael Voigt 2006 KBC. All Rights Reserved. 1 Introduction Michael Voigt 19
More informationVIEW POINT. Enhancing the Effectiveness of Rolling Forecasts. Abstract
VIEW POINT Enhancing the Effectiveness of Rolling Forecasts Abstract An effective rolling forecast is important to estimate long term financial plans. Every organization undertakes this process as a finance
More informationMANAGEMENT OF MANUFACTURING SYSTEMS GBAT9102
MANAGEMENT OF MANUFACTURING SYSTEMS GBAT9102 SUPERVISED OPEN-BOOK EXAMINATION Time Allowed: 2 Hours Reading Time: 10 Minutes INSTRUCTIONS 1. This is a supervised open-book examination. Course study guide,
More informationOperations Management
17-1 Project Management Operations Management William J. Stevenson 8 th edition 17-2 Project Management CHAPTER 17 Project Management McGraw-Hill/Irwin Operations Management, Eighth Edition, by William
More informationHOW TO REDUCE OBSOLESCENCE RISKS
HOW TO REDUCE OBSOLESCENCE RISKS EVEN IN TODAY S ADVANCED TECHNOLOGICAL LANDSCAPE, SOME MANUFACTURING SYSTEMS IN MODERN FACILITIES DATE BACK TO THE 1970S AND 1980S. ALTHOUGH MANY FACTORIES ALSO EMPLOY
More informationDecision Mapping and Optimal Inspection Models for Plant Maintenance: Some Case Studies
Decision Mapping and Optimal Inspection Models for Plant Maintenance: Some Case Studies Prof. Dr. K. P. Ramachandran Associate Dean (PG&R Caledonian College of Engineering, P.O. Box, CPO Seeb, Sultanate
More informationForecasting for Short-Lived Products
HP Strategic Planning and Modeling Group Forecasting for Short-Lived Products Jim Burruss Dorothea Kuettner Hewlett-Packard, Inc. July, 22 Revision 2 About the Authors Jim Burruss is a Process Technology
More informationHKU announces 2017 Q4 HK Macroeconomic Forecast
HKU announces 2017 Q4 HK Macroeconomic Forecast October 10, 2017 The of the Hong Kong Institute of Economics and Business Strategy at the University of Hong Kong (HKU) released its quarterly Hong Kong
More informationREVENUE MANAGEMENT IN MARRIAGE HALL RAGUPATHY A SARAVANAN V.K-27047
REVENUE MANAGEMENT IN MARRIAGE HALL MANOJ A-27024 RAGUPATHY A-27036 SARAVANAN V.K-27047 1. OVERVIEW: The revenue management practice is fast emerging and applicable to the marriage hall. Since these services
More informationAre you prepared to make the decisions that matter most? Decision making in power & utilities
www.pwc.com/bigdecisions Are you prepared to make the decisions that matter most Decision making in power & utilities Results from PwC s Global Data & Analytics Survey 2014 power & utilities Renewables.
More informationBy: Adrian Chu, Department of Industrial & Systems Engineering, University of Washington, Seattle, Washington November 12, 2009.
OPT Report By: Adrian Chu, Department of Industrial & Systems Engineering, University of Washington, Seattle, Washington 98195. November 12, 2009. The Goal Every manufacturing company has one goal to make
More informationAdvanced Maintenance Management. Contents are subject to change. For the latest updates visit
Advanced Maintenance Management Page 1 of 7 Why Attend To survive in today s world of 'lean and mean' operations, we cannot wait for breakdowns. As a matter of fact, we should make responding to breakdowns
More informationHKU announces 2016 Q3 HK Macroeconomic Forecast
HKU announces 2016 Q3 HK Macroeconomic Forecast July 7, 2016 The of the Hong Kong Institute of Economics and Business Strategy at the University of Hong Kong (HKU) released its quarterly Hong Kong Macroeconomic
More informationUsing data to improve asset
Using data to improve asset management Martijn Schroder Budget LG challenge: increased value, reduced waste, lower budget, happier customers Business waste Business waste Business value Business value
More informationQuantification of Machine Performance Through Overall Equipment Effectiveness
2015 International Symposium on Technology Management and Emerging Technologies (ISTMET), August 25-27, 2015, Langkawi, Kedah, Malaysia Quantification of Machine Performance Through Overall Equipment Effectiveness
More informationThe Intelligent Application of Automation: Finding the Proper Balance of Man and Machine
The Intelligent Application of Automation: Finding the Proper Balance of Man and Machine Sponsored by: Presented by: Chris DeLisle Sr. Engineer Karl Hoegen CEO North America 2013 MHI Copyright claimed
More informationSuccessful Planning, Organizing and Control
Successful Planning, Organizing and Control Page 1 of 8 Why Attend The primary challenge of managers is to get things done effectively and efficiently with and through people. This course introduces the
More informationCOURSE LISTING. Courses Listed. with Business Intelligence (BI) Crystal Reports. 26 December 2017 (18:02 GMT)
with Business Intelligence (BI) Crystal Reports Courses Listed BOC345 - SAP Crystal Reports 2011: Optimizing Report Data Processing BOC320 - SAP Crystal Reports: - BOCE10 - SAP Crystal Reports for Enterprise:
More informationBiogenetica San Jose ITSA Replacement. Business Case
APPENDIX 1 Biogenetica San Jose ITSA Replacement Business Case Business Sponsor: Project Manager: Project Cost Centre: Brian Smith Ram Kumar 00417 This business case was prepared for educational purposes
More informationThe Plus of CBM+ Thomas H. Carroll III. Director of Aircraft Maintenance Technical Services
The Plus of CBM+ Thomas H. Carroll III Director of Aircraft Maintenance Technical Services The CBM+ Initiative has Immediate Benefits Reduction of scheduled preventive maintenance content Escalation of
More informationRevised SMIS+ implementation plan. 4 th August 2015 SMIS+ Team
Revised SMIS+ implementation plan 4 th August 2015 SMIS+ Team Content Purpose and rationale Revised implementation plan Design & Build Plan (including workstreams) Design & Build Phases Deployment Phase
More informationHKU announces 2018 Q1 HK Macroeconomic Forecast 1
Q Q2 Q3 Q4 2Q 2Q2 2Q3 2Q4 3Q 3Q2 3Q3 3Q4 4Q 4Q2 4Q3 4Q4 5Q 5Q2 5Q3 5Q4 6Q 6Q2 6Q3 6Q4 7Q 7Q2 7Q3 7Q4 8Q year-on-year percentage HKU announces 208 Q HK Macroeconomic Forecast January 0, 208 The of the Hong
More informationMOBILE: Presently At: Bangalore, India
E-MAIL: Agin.vals@yahoo.co.in MOBILE: +919916761077 Presently At: Bangalore, India PERMANENT ADDRESS: Ragasree ; Nutstreet (PO); Vadakara, Kozhikode, Kerala - 673104 PERSONAL DATA Date of Birth: 3 rd Jul
More informationCertificate in Advanced Project Management. Contents are subject to change. For the latest updates visit
Certificate in Advanced Project Management Page 1 of 7 Why Attend The overall aim of this course is to provide participants with the knowledge and skills needed to perform in-depth analysis for a project
More informationCHAPTER 1 INTRODUCTION
1 CHAPTER 1 Supplier selection is one of the most critical activities for many companies and selection of wrong supplier could be enough to upset the company s financial and operational position. Selection
More information2017 KEY INSIGHTS ON. Employee Attendance and Tardiness
2017 KEY INSIGHTS ON Employee Attendance and Tardiness THE AVERAGE NUMBER OF MINUTES THAT EMPLOYEES IN THE XIMBLE SYSTEM ARE LATE IS MINUTES. 114.2 MINUTES Statistical sample of 263258 clock-in records,
More informationOverall Equipment Efficiency (OEE)
Research on Overall Equipment Efficiency Overall Equipment Efficiency (OEE) Prepared by: ASECO Integrated Systems Office Locations including; Oakville, ON, Canada 905/339-0059 Philadelphia, PA, USA 215/830-1420
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 informationOptimization Prof. Debjani Chakraborty Department of Mathematics Indian Institute of Technology, Kharagpur
Optimization Prof. Debjani Chakraborty Department of Mathematics Indian Institute of Technology, Kharagpur Lecture - 39 Multi Objective Decision Making Decision making problem is a process of selection
More informationThe Berkeley Miracle: Maintaining Quality With Fewer Resources. June 4, 2014 Larry Conrad Associate Vice Chancellor-IT and CIO
The Berkeley Miracle: Maintaining Quality With Fewer Resources June 4, 2014 Larry Conrad Associate Vice Chancellor-IT and CIO Agenda Overall Context for the Operational Excellence Initiative Leadership
More informationAUTOMOTIVE. How is it possible to extend production facilities and save money? Simple ask the experts.
AUTOMOTIVE How is it possible to extend production facilities and save money? Simple ask the experts. AT A GLANCE. OPTIMUM FLOW OF GOODS IN EVERY DIRECTION Today s automotive industry expects maximum speed,
More informationMetrics for Portfolio Management. Jonathan Propp August 30, 2010
Metrics for Portfolio Management Jonathan Propp August 30, 2010 What is Portfolio Management? A strategic assessment of the product development portfolio by senior management in order to allocate scarce
More informationAllstream Centre Energy Performance Report
Allstream Centre Energy Performance Report 2012 2014 TABLE OF CONTENTS INTRODUCTION... 1 ELECTRICAL CONSUMPTION... 2 ELECTRICAL ENERGY DISTRIBUTION... 3 BUILDING POWER AND SYSTEMS... 4 FACTORS CONTRIBUTING
More informationPredicting not just detecting
Predicting not just detecting Manufacturing facilities constantly face increasingly complex challenges with equipment sophistication, parts lead times, regulatory and competitive standards, decreasing
More informationIdhammar MMS The Business Case
WHITEPAPER Idhammar MMS - Business Case Idhammar MMS The Business Case ABSTRACT Since the earliest solutions were introduced in the 1980s, the core function of Computerised Maintenance Management Systems
More informationON-THE-JOB TRAINING BLUEPRINT
ON-THE-JOB TRAINING BLUEPRINT SUPERVISOR MODULE BUILDING EFFECTIVE CALL CENTRE WORK TEAMS Developed in collaboration with Customer Service Transformation Pte Ltd Copyright Singapore Productivity and Standards
More informationSoftwood Log and Lumber Markets in Asia
Softwood Log and Lumber Markets in Asia Mapping the Course Vancouver, Washington January 24, 219 Bob Flynn Director, International Timber Fastmarkets/RISI Email: rflynn@fastmarkets.com Phone: 1-36-471-6578
More informationName: Date: Math in Restaurants: Try Other Challenges Student Handout
Name: Date: Math in Restaurants: Try Other Challenges Sue Torres, chef and owner of Sueños restaurant in New York City, is trying to determine menu prices for some of her dishes. Your challenge is to choose
More informationJustifying a. Purchase CMMS. A BEIMS Whitepaper February 2011
A BEIMS Whitepaper February 2011 Justifying a CMMS Purchase Mercury Computer Systems (Aust) Pty Ltd Level 3, 271 William Street, Melbourne, Australia, 3000 Mercury Computer P: +61 Systems 3 9602 (Aust)
More informationHRA User Satisfaction Report
HRA User Satisfaction Report April 2018 to September 2018 Findings from the online user satisfaction survey April 2018 - September 2018 The following graphs present quantitative data collected between
More informationEU Phase 3 Update. Chris Logue Gas Markets Manager
EU Phase 3 Update Place your chosen image here. The four corners must just cover the arrow tips. For covers, the three pictures should be the same size and in a straight line. Chris Logue Gas Markets Manager
More informationTerms of Reference Governance Committee
1. Purpose Terms of Reference Governance Committee The Governance Committee is responsible for ensuring that BC Assessment and its Board develop and implement an effective approach to corporate governance.
More informationreasons to invest in a CMMS
11 reasons to invest in a CMMS 11 reasons to invest in a CMMS 1. Effectively plan preventive maintenance The purpose of preventive maintenance (PM) is to plan scheduled inspections so that defects are
More informationRisk Evaluation of Meridian Substation Transformers
BCTC-SPA-R008 August 8, 2005 Risk Evaluation of Meridian Substation Transformers Wenyuan Li System Planning and Performance Assessment BCTC August, 2005 1 Reliability Evaluation of Meridian Substation
More informationOptimal decisions in organic steer production a model including winter feed level, grazing strategy and slaughtering policy
Optimal decisions in organic steer production a model including winter feed level, grazing strategy and slaughtering policy Bea Nielsen, LIFE / NOR-FEED A/S Advanced Herd Management, september 2007 Who
More informationUSING THE THEORY OF CONSTRAINTS TO PRODUCTION PROCESSES IMPROVEMENT
7th International DAAAM Baltic Conference "INDUSTRIAL ENGINEERING" 22-24 April 2010, Tallinn, Estonia USING THE THEORY OF CONSTRAINTS TO PRODUCTION PROCESSES IMPROVEMENT Trojanowska J. & Pająk E. Abstract:
More informationPaper Title: Reliability Incident Management Linking Incident Management with your Reliability Assurance Program
Paper Title: Reliability Incident Management Linking Incident Management with your Reliability Assurance Program Author Mr Steve Turner BEng MBA Director and Principal Consultant OMCS International Abstract
More informationTangible Benefits of Implementing Smart Metering Technology in City Power
Tangible Benefits of Implementing Smart Metering Technology in City Power Mr Aubrey Mochela GM ICT City Power JOHANNESBURG South Africa Agenda Items 1 2 Energy Theft Broader Context City Power Situation
More informationElectric Forward Market Report
Mar-01 Mar-02 Jun-02 Sep-02 Dec-02 Mar-03 Jun-03 Sep-03 Dec-03 Mar-04 Jun-04 Sep-04 Dec-04 Mar-05 May-05 Aug-05 Nov-05 Feb-06 Jun-06 Sep-06 Dec-06 Mar-07 Jun-07 Sep-07 Dec-07 Apr-08 Jun-08 Sep-08 Dec-08
More informationCapital Sales and Purchases. Cash flow Income Statement Financing. Assets. Costs. Liabilities Schedule F 1
Capital Sales and Purchases Costs Assets ROI Revenues Cash flow Income Statement Financing Liabilities Schedule F 1 Financial data collection Financial analyses F 2 Finances : Forecasting costs Penelope
More informationStreet Maintenance Section Maintenance and Operations Division Public Works Department Anchorage: Performance. Value. Results.
Street Maintenance Section Anchorage: Performance. Value. Results. Purpose Protect, maintain, and improve Municipal roads and drainage systems through organized efforts and effective use of resources.
More informationCOURSE LISTING. Courses Listed. Training for Applications with Integration in SAP Business One. 27 November 2017 (07:09 GMT) Advanced
Training for Applications with Integration in SAP Business One Courses Listed Advanced TB1000 - SAP Business One - Logistics TB1100 - SAP Business One - Accounting TB1200 - SAP Business One - Implementation
More informationA structured approach for highlighting design weaknesses in all types of plant and equipment before the design leaves the drawing board
SDS0902 A structured approach for highlighting design weaknesses in all types of plant and equipment before the design leaves the drawing board Overview of Structured Design Scrutiny (SDS) Definition Structured
More informationDISCRETE-EVENT SIMULATION AND AUTOMATIC DATA COLLECTION IMPROVE PERFORMANCE IN A MANUFACTURING SYSTEM
Proceedings of the 2005 Winter Simulation Conference M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, eds. DISCRETE-EVENT SIMULATION AND AUTOMATIC DATA COLLECTION IMPROVE PERFORMANCE IN A
More information2016 PUBLIC COURSES. Individual course brochures (e-flyer), with more details, will be sent through our ing list.
PUBLIC COURSES Our Public Courses offer open enrolment for all companies. Courses available in all the kingdom Khobar, Dammam, Riyadh, Jeddah, Abha, Yanbu..., and outside the kingdom Dubai, Malasia, Istanbul...
More informationCOURSE LISTING. Courses Listed. with Quality Management SAP ERP. 15 February 2018 (23:55 GMT) SAP01 - SAP SAP01E - SAP Overview
with Quality Management SAP ERP Courses Listed SAP01 - SAP SAP01E - SAP Overview PLM400 - Quality Management PLM412 - Quality Planning and Inspection PLM415 - Quality Management in Logistics C_TPLM40_65
More informationSource Water Protection Integrating with Existing Watershed and Water Management Frameworks
Source Water Protection Integrating with Existing Watershed and Water Management Frameworks Steph Neufeld, M.Sc. Watershed Specialist 1 Overview There are multiple, competing land and water planning and
More informationBrewing a Platinum Zero Waste Program. Cheri Chastain Sustainability Manager
Brewing a Platinum Zero Waste Program Cheri Chastain Sustainability Manager Defining Sustainability Social Equity Healthy Environment Economic Stability Our Sustainability Department Maintain existing
More informationUniversity of Michigan Eco-Driving Index (EDI) Latest data: August 2017
University of Michigan Eco-Driving Index () http://www.ecodrivingindex.org Latest data: August 2017 Developed and issued monthly by Michael Sivak and Brandon Schoettle Sustainable Worldwide Transportation
More informationDigital Manufacturing Testbed: Rationale and Launch Overview. January 21, 2019 M. Ursem
Digital Manufacturing Testbed: Rationale and Launch Overview January 21, 2019 Digital Manufacturing Testbed: Rationale Manufacturers Need to Adopt Innovative Ways to do More with Less Barriers Causes Effects
More informationSAP Leonardo: IoT based Big Data Scenarios with Predictive Analytics
25.10.2017, Oslo, Norway SAP Leonardo: IoT based Big Data Scenarios with Predictive Analytics Kay Rohweder Our Plan for the Next 40 minutes How does Predictive Analytics work? How can we scale up a solution?
More informationInventory Management
Inventory Management SCM301.004 Sourish Sarkar Doctoral Candidate, Grado Dept. of Industrial & Systems Engineering Virginia Polytechnic Institute and State University Penn State Erie, The Behrend College
More informationand Forecasting CONCEPTS
6 Demand Estimation and Forecasting CONCEPTS Regression Method Scatter Diagram Linear Regression Regression Line Independent Variable Explanatory Variable Dependent Variable Intercept Coefficient Slope
More informationHIGHLANDS AND ISLANDS AIRPORTS LIMITED
HIGHLANDS AND ISLANDS AIRPORTS LIMITED ANNUAL PROCUREMENT REPORT 2017/18 Version 1.0 Date June 2018 Highlands and Islands Airports Ltd Page 1 of 10 Contents Introduction 3 Section 1 - Summary of Regulated
More informationProject Risk Management Bootcamp. Contents are subject to change. For the latest updates visit
Bootcamp Page 1 of 7 Why Attend The overall aim of this program is to enable participants to plan, manage and control project risks. Moreover, participants will be able to develop project risk management
More informationAre you prepared to make the decisions that matter most? Decision making in consumer goods
www.pwc.com/bigdecisions Are you prepared to make the decisions that matter most Decision making in consumer goods Results from PwC s Global Data & Analytics Survey 2014 consumer goods Changing demographics
More informationWe all know that what you measure gets done. But what if you are. measuring the wrong things and doing the wrong things as a result?
We all know that what you measure gets done. But what if you are measuring the wrong things and doing the wrong things as a result? Michaela Rebbeck talks to Alex Knight about operational measures that
More informationSupplier Selection of Technical Goods Using AHP Methods
Supplier Selection of Technical Goods Using AHP Methods Fatkhor Rozi Industrial Engineering, Engineering Faculty University of Surabaya Surabaya, Indonesia fatkhorrozi@gmail.com Evy Herowati Industrial
More informationLearn the Business Of Law
Learn the Business Of Law LEGAL PRACTICE MANAGEMENT 2018 COURSES This course is approved under the Legal Profession Rules for those required to undertake a Legal Practice Management Course. Call 08 9214
More informationTotal Productive Maintenance OVERVIEW
Total Productive Maintenance OVERVIEW Aims and Objectives Target Audience : Senior Management Purpose of Module : To understand the need for TPM and the commitment required to achieve an effective system..
More informationBUSINESS CASES & OUTCOMES
BUSINESS CASES & OUTCOMES NARRATIVEWAVE BUSINESS CASES & OUTCOMES IMPROVED ACCURACY OF EVENT & ALARM ANALYSIS The traditional workflow of diagnosing events or alarms on large industrial assets is a manual
More informationGlobal Asset Sustainability:
Infor EAM Global Asset Sustainability: Breakthrough lean best practice counters rising energy costs Table of contents Executive summary... 3 Adapting to energy costs is not optional... 5 New lean approach:
More informationBUSINESS INTELLIGENCE SOFTWARE SUITE
C21 Systems Web: www.c21systems.com.au Tel: 1800 04 12 21 BUSINESS INTELLIGENCE SOFTWARE SUITE OVERVIEW C21 Systems provides an advanced and comprehensive software solution designed to maximise Productivity
More informationMORANBAH NORTH MINE. Analyst & Investor Site Visit Australia 28 October 2011
MORANBAH NORTH MINE Analyst & Investor Site Visit Australia 28 October 2011 DISCLAIMER Disclaimer: This presentation has been prepared by Anglo American plc ( Anglo American ) and comprises the written
More informationTHE PROFESSIONALS ACADEMY OF COMMERCE Mock Exam, Summer-2015 Management Accounting (Solution)
THE PROFESSIONALS ACADEMY OF COMMERCE Mock Exam, Summer-2015 Management Accounting (Solution) Answer to Q-1 Minimum price for making 500 units of AK 100 Materials: Rs. X (500 units 4kg) Rs.8 16,000 Y (500
More informationCOMPUTERIZED MAINTENANCE MANAGEMENT SYSTEM (CMMS) MAXIMO Training Duration 5 days
Training Title COMPUTERIZED MAINTENANCE MANAGEMENT SYSTEM (CMMS) MAXIMO Training Duration 5 days Training Dates & Venue REF IC061 Computerized Maintenance Management System (CMMS) MAXIMO 5 23 27 Apr $4,250
More informationBritish Standard Glossary of terms (3811:1993) defined maintenance as:
Department of Industrial Engineering Dr. Abed Schokry Introduction to Maintenance Second semester 2010/2011 Maintenance Definition British Standard Glossary of terms (3811:1993) defined maintenance as:
More informationAdministration Division Public Works Department Anchorage: Performance. Value. Results.
Administration Division Anchorage: Performance. Value. Results. Mission Provide administrative, budgetary, fiscal, and personnel support to ensure departmental compliance with Municipal policies and procedures,
More informationMetrics for Diagnostic Purposes. Steven Kaplan Global MES Administrator
Metrics for Diagnostic Purposes Steven Kaplan Global MES Administrator www.mesa.org 2008 North American Plant-to-Enterprise Conference September 21-23, Orlando, FL The following Strategic Initiatives of
More informationFred. Olsen Windbase. Presenter: David Matthews, Fred. Olsen Windcarrier UK General Manager Contact:
Fred. Olsen Windbase Presenter: David Matthews, Fred. Olsen Windcarrier UK General Manager Contact: David.Matthews@fredolsen.com Background for Fred. Olsen Windbase Offshore wind must increase health and
More informationLean, team-based medical device manufacturing. David Hurley Associate Director of Operations Alcon Research, Ltd.
Lean, team-based medical device manufacturing David Hurley Associate Director of Operations Alcon Research, Ltd. Agenda Alcon Starting our Lean journey Our Lean Change Process Lean Production Lean Management
More informationCOURSE LISTING. Courses Listed. with Portfolio & Project Management SAP ERP. 13 March 2018 (10:01 GMT) SAP01 - SAP SAP01E - SAP Overview
with Portfolio & Project Management SAP ERP Courses Listed SAP01 - SAP SAP01E - SAP Overview PL200E - Business Processes in SAP Project System PLM200 - Business Processes in SAP Project Systems PL210E
More informationSUPPLY CHAIN EXCELLENCE IN WIDEX. June 2016
SUPPLY CHAIN EXCELLENCE IN WIDEX June 2016 AGENDA 1. Presentation of Widex 2. The first year Creating a solid base 3. The second year Stabilizing the performance 4. The next steps Unleashing the competitive
More information