Hybrid POLCA in a job shop environment

In Malaysia, Small and Medium Enterprises (SMEs) are important engines of economic growth and development of the country. By 2020, Malaysian SMEs aim to contribute 42% to the country’s gross domestic product (GDP). However, in the present scenario, most SMEs which supply low-volume products and cust...

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Main Author: How, Whee Ching
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Language:English
English
Published: 2017
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institution Universiti Teknikal Malaysia Melaka
collection UTeM Repository
language English
English
advisor Chong, Kuan Eng
topic T Technology (General)
TS Manufactures
spellingShingle T Technology (General)
TS Manufactures
How, Whee Ching
Hybrid POLCA in a job shop environment
description In Malaysia, Small and Medium Enterprises (SMEs) are important engines of economic growth and development of the country. By 2020, Malaysian SMEs aim to contribute 42% to the country’s gross domestic product (GDP). However, in the present scenario, most SMEs which supply low-volume products and custom-engineered manufacturers are confronted with various challenges in retaining their competitive advantages in the global market. This study was conducted in a precision component manufacturing company that experiences low on-time delivery (OTD) of about 70%. The aim of the study was to improve the manufacturing critical-path time (MCT) and hence ensure on-time delivery to customers by adopting Quick Response Manufacturing practices and tools in the shop floor of the company. The Paired-cell Overlapping Loops of Cards with Authorization (POLCA) mechanism was employed to control material flow betwen workstations. Two modules were first built to automate the mapping of MCT for all products and to calculate the required number of POLCA cards. These informaton were then fed into a simulation model of the production floor from the company. A simulation base model was built and validated followed by experimentations ofthe original POLCA and 2 hybrid POLCA variants i.e. short processing time (SPT- POLCA) and Due Date (DD-POLCA) variants. The performance measures of these models: throughput (TP), work-in-process (WIP), average MCT per job and On-time delivery (OTD) were analysed and compared. Results showed that SPT-POLCA performed best in comparison to the other control systems. SPT-POLCA recorded the highest throughput and OTD, lowest WIP and average MCT per job. Finally, a POLCA game was developed as a teaching and training tool for engineering undergraduates and industry personnel respectively. The game provided the simplicity and hands-on experience for the players to understand the POLCA mechanism. The game was also flexible in allowing experimentations with the different POLCA variants and other manufacturing techniques.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author How, Whee Ching
author_facet How, Whee Ching
author_sort How, Whee Ching
title Hybrid POLCA in a job shop environment
title_short Hybrid POLCA in a job shop environment
title_full Hybrid POLCA in a job shop environment
title_fullStr Hybrid POLCA in a job shop environment
title_full_unstemmed Hybrid POLCA in a job shop environment
title_sort hybrid polca in a job shop environment
granting_institution Universiti Teknikal Malaysia Melaka
granting_department Faculty Of Manufacturing Engineering
publishDate 2017
url http://eprints.utem.edu.my/id/eprint/20622/1/Hybrid%20POLCA%20In%20A%20Job%20Shop%20Environment.pdf
http://eprints.utem.edu.my/id/eprint/20622/2/Hybrid%20POLCA%20in%20a%20job%20shop%20environment.pdf
_version_ 1747833987920822272
spelling my-utem-ep.206222022-06-08T12:32:34Z Hybrid POLCA in a job shop environment 2017 How, Whee Ching T Technology (General) TS Manufactures In Malaysia, Small and Medium Enterprises (SMEs) are important engines of economic growth and development of the country. By 2020, Malaysian SMEs aim to contribute 42% to the country’s gross domestic product (GDP). However, in the present scenario, most SMEs which supply low-volume products and custom-engineered manufacturers are confronted with various challenges in retaining their competitive advantages in the global market. This study was conducted in a precision component manufacturing company that experiences low on-time delivery (OTD) of about 70%. The aim of the study was to improve the manufacturing critical-path time (MCT) and hence ensure on-time delivery to customers by adopting Quick Response Manufacturing practices and tools in the shop floor of the company. The Paired-cell Overlapping Loops of Cards with Authorization (POLCA) mechanism was employed to control material flow betwen workstations. Two modules were first built to automate the mapping of MCT for all products and to calculate the required number of POLCA cards. These informaton were then fed into a simulation model of the production floor from the company. A simulation base model was built and validated followed by experimentations ofthe original POLCA and 2 hybrid POLCA variants i.e. short processing time (SPT- POLCA) and Due Date (DD-POLCA) variants. The performance measures of these models: throughput (TP), work-in-process (WIP), average MCT per job and On-time delivery (OTD) were analysed and compared. Results showed that SPT-POLCA performed best in comparison to the other control systems. SPT-POLCA recorded the highest throughput and OTD, lowest WIP and average MCT per job. Finally, a POLCA game was developed as a teaching and training tool for engineering undergraduates and industry personnel respectively. The game provided the simplicity and hands-on experience for the players to understand the POLCA mechanism. The game was also flexible in allowing experimentations with the different POLCA variants and other manufacturing techniques. 2017 Thesis http://eprints.utem.edu.my/id/eprint/20622/ http://eprints.utem.edu.my/id/eprint/20622/1/Hybrid%20POLCA%20In%20A%20Job%20Shop%20Environment.pdf text en public http://eprints.utem.edu.my/id/eprint/20622/2/Hybrid%20POLCA%20in%20a%20job%20shop%20environment.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=106134 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Manufacturing Engineering Chong, Kuan Eng 1. Abbeglen, J., and Stalk, G., 1985. Kaisha: the Japanese Corporation, New York: Basic Books. 2. Ahuja, I.P.S., and Khamba, J.S., 2008. Total Productive Maintenance: Literature Review and Directions. International Journal of Quality & Reliability Management, 25(7), pp. 709–756. 3. Alis, D., Karsten, L., and Leopold, J., 2006. From Gods to Goddesses: Horai Management as an Approach to Coordinating Working Hours. Time & Society, 15(1), pp. 81–104. 4. Babiarz. P., Piotrowski. M., Pomianek. B., and Wawrzynkiewicz. M., 2007. Prequisites for introduction of Mass Customization Strategy in Central Europe.[online] Available at: http://robertfreund.de/blog/wp-content/uploads/2008/12/freund-piotrowski-2004-ohrid.pdf [Accessed on17 July 2016]. 5. Banks, J., Carson, J., Nelson, B.L., and Nicol, D., 2010. Discrete-Event System Simulation, 5th international ed., United State: Pearson . 6. Begam, M., Swamynathan, R., and Sikkizhar, J., 2013. Current Trends on Lean Management – A Review. International Journal of Lean Thinking, 4(2), pp.15-21. 7. Benders, J., and Riezebos, J., 2002. Period Batch Control: Classic, Not Outdated. Production Planning & Control, 13(6), pp. 497–506. 8. Bhatewara, V., 2013. Analysis of POLCA and GPOLCA Material Control Strategies. 9. Blackburn, J.D.,1991. Time-Based Competition: The Next Battleground in American Manufacturing, United State: Business One Irwin. 10. Blackstone, J.H., Philips, D.T., and Hogg, G.L., 1982. A State-of-the-Art Survey of Dispatching Rules for Manufacturing Job Shop Operations. International Journal of Production Research, 20(1), pp. 27–45. 11. Blecker, T., and Friedrich, G., 2007. Guest Editorial: Mass Customization Manufacturing Systems. Engineering, 54(1), pp. 4–11. 12. Bonvik, A.M., and Gershwin, S.B., 1996. Beyond Kanban: Creating and Analyzing Lean Shop Floor Control Policies. In: Manufacturing and service operations management conference proceeding, pp. 46–51. 13. Bonvik, A.M., Couch, C.E., and Gershwin, S.B., 1997. A Comparison of Production-Line Control Mechanisms. International Journal of Production Research, 35(3), pp. 789–804. 14. Bonwell, C.C., 1991. Active Learning: Creating Excitement in the Classroom. [online] Available at: http://files.eric.ed.gov/fulltext/ED336049.pdf [Accessed on 17 July 2016]. 15. Bottani, E., 2010. Profile and Enablers of Agile Companies: An Empirical Investigation. International Journal of Production Economics, 125(2), pp. 251–261. 16. Braglia, M., Castellano, D., and Frosolini, M., 2015. A Study on the Importance of Selection Rules within Unbalanced MTO POLCA-Controlled Production Systems. International Journal of Industrial and Systems Engineering, 20(4), pp. 457–468. 17. Breithaupt, J.W., Land, M. and Nyhuis, P., 2002. The workload control concept: theory and practical extensions of Load Oriented Order Release.Production Planning & Control, 13(7), pp.625-638. 18. Brown, S., and Bessant, J., 2003. The Manufacturing Strategy-Capabilities Links in Mass Customisation and Agile Manufacturing - An Exploratory Study. International Journal of Operations and Production Management, 23(7-8), pp. 707–730. 19. Burbidge, J.L., 1968. The Principles of Production Control, 2nd ed., London: Mac Donald Evand LTDA. 20. Burbidge, J.L., 1975. The Introduction of Group Technology, London: Heinemann. 21. Burbidge, J.L., 1990. Production Control: A Universal Conceptual Framework. Production Planning & Control, 1(1), pp. 3–16. 22. Chen, I.J., 2003. Planning for ERP Systems:analysis and Future Trend. Business Process Management Journal, 7(5), pp. 374–386. 23. Clark, A.J., and Scarf, H., 1960. Optimal Policies for a Multi-Echelon Inventory Problem. Management Science, 6(4), pp. 475–490. 24. Corbett, S., 2007. Beyond manufacturing: the evolution of lean production. The McKinsey Quarterly: The Online Journal of McKinsey & Co., 3,p.94. 25. Da Silva, I., Xambre, A.R., and Lopes, R.B., 2013. A Simulation Game Framework for Teaching Lean Production. International Journal of Industrial Engineering and Management, 4(2), pp. 81–86. 26. Dale, E., 1954. Cone of learning, audio-visual methods in teaching (revised), New York: Holt, Rinehart & Winston. 27. Darlington, J., Francis, M., Found, P. and Thomas, A., 2015. Design and implementation of a Drum-Buffer-Rope pull-system. Production Planning & Control, 26(6), pp.489-504. 28. Dennis, P., 2007. Lean production simplified, 2nd ed., New York : Productivity Press. 29. Drazin, R., and Ven, A. H.,1985. Alternative forms of fit in contingency theory. Administrative Science Quarterly, 30(4),pp. 514-539. 30. Effendi, M. Bin, and Ito, T., 2013. Integration of E-Learning and Simulation to User Training Programme of SMED. International Journal of Internet Manufacturing and Services, 3(2), p. 121. 31. Elgood, C., 1997. Handbook of Management Games and Simulation, 6th ed.,Aldershot: Gower Publishing. 32. Epping, E.M., 2005. Let ’ S POLCA ![online] Available at: http://www.bdk.rug.nl/mede 33. werkers/jriezebos/pdf%5CMaster%20thesis%20Polca%2Evelien%20Epping.pdf[Accessed 34. on 8 November 2015]. 35. Farnoush, A., and Wiktorsson, M., 2013. POLCA and CONWIP Performance in a Divergent Production Line: An Automotive Case Study. Journal of Management Control, 24(2), pp. 159–186. 36. Fernandes, C.F.F., and Filho, M.G., 2011. Production Control Systems: Literature Review, Classification, and Insights Regarding Practical Application. African Journal of Business Management, 5(14), pp. 5573–5582. 37. Fernandes, N.O., and do Carmo-Silva, S., 2006. Generic POLCA-A Production and Materials Flow Control Mechanism for Quick Response Manufacturing. International Journal of Production Economics, 104(1), pp. 74–84. 38. Filho, M.G., and Fernandes Faria, C.F., 2009. Strategic Paradigms for Manufacturing Management ( Spmm ): Key Elements and Conceptual Model. International Journal of Industrial Engineering, 16(2), pp. 147–159. 39. Geraghty, J., and Heavey, C., 2004. A Comparison of Hybrid Push/pull and CONWIP/pull Production Inventory Control Policies. International Journal of Production Economics, 91(1), pp. 75–90. 40. Germs, R., and Riezebos, J., 2010. Workload Balancing Capability of Pull Systems in MTO Production. International Journal of Production Research, 48(8), pp. 2345–2360. 41. Gill, C., 2003. Worker Job Stress Effects of Just-In-Time/Lean Production: Design and Operating Policies. EPRSC Funded Research Project, CG/R39184/01, University,. Cambridge. 42. Goldratt, E. M., and J. Cox. 1984. The Goal, Aldershot: Gower. 43. Goldratt, E., 1990. The Haystack Syndrome, sifting information in the data ocean, New York: North River Press. 44. González, P.L., and Framinan, J.M., 2009. The Pull Evolution: From Kanban to Customised Token-Based Systems. Production Planning & Control, 20(3), pp. 276–287. 45. Gonzalez, P.L., Framinan, J.M. and Ruiz-Usano, R., 2010. A multi-objective comparison of dispatching rules in a drum–buffer–rope production control system. International Journal of Computer Integrated Manufacturing,23(2), pp.155-167. 46. González, V.A., Orozco, F., Senior, B., Ingle, J., Forcael, E., and Alarcón, L.F., 2015. LEBSCO: Lean-Based Simulation Game for Construction Management Classrooms. Journal of Professional Issues in Engineering Education and Practice, 141(4), p. 4015002. 47. Graves, R.J., Konopka, J.M., and Milne, R.J., 1995. Literature Review of Material Flow Control Mechanisms. Production Planning & Control, 6(5), pp. 395–408. 48. Gunasekaran, a., and Yusuf, Y.Y., 2002. Agile Manufacturing: A Taxonomy of Strategic and Technological Imperatives. International Journal of Production Research, 40(6), pp. 1357–1385. 49. Gupta, A.K., and Sivakumar, A.I., 2006. Job Shop Scheduling Techniques in Semiconductor Manufacturing. The International Journal of Advanced Manufacturing Technology, 27(11-12), pp. 1163–1169. 50. Gupta, P., and Vardhan, S., 2016. Optimizing OEE, Productivity and Production Cost for Improving Sales Volume in an Automobile Industry through TPM: A Case Study. International Journal of Production Research, 54(10), pp. 2976–2988. 51. Haider, A., and Mirza, J., 2015. An Implementation of Lean Scheduling in a Job Shop Environment. Advances in Production Engineering & Management, 10(1), pp. 5–17. 52. Harding. L., 2002. QRM – An Enabler On The Road To Agility?[online] Available at: http://www.littoralis.info/iom/assets/20020501_20.pdf [Accessed on 17 July 2016]. 53. Harrod, S., and Kanet, J.J., 2013. Applying Work Flow Control in Make-to-Order Job Shops. International Journal of Production Economics, 143(2), pp. 620–626. 54. Haupt, R., 1989. A Survey of Priority Rule-Based Scheduling. Operational Research Spektrum, 11(1), pp. 3–16. 55. Heiskala, M., Paloheimo, K., and Tiihonen, J., 2005. Mass Customisation of Services : Benefits and Challenges of Configurable Services. Frontiers of E-Business Research (FeBR), pp. 206–221. 56. Hettler, N., 2008. Lean means business. Manufacturing Engineering, 140(1), p. 103. 57. Holthaus, O., and Rajendran, C., 1997. Efficient Dispatching Rules for Scheduling in a Job Shop. International Journal of Production Economics, 48(1), pp. 87–105. 58. Holweg, M., 2007. The Genealogy of Lean Production. Journal of Operations Management, 25(2), pp. 420–437. 59. Holweg, M., 2007. The genealogy of lean production. Journal of operations management, 25(2), pp.420-437. 60. Hu, S.J., 2013. Evolving Paradigms of Manufacturing: From Mass Production to Mass Customization and Personalization. Procedia CIRP, 7, pp. 3–8. 61. Hu, S.J., Ko, J., Weyand, L., Elmaraghy, H.A., Lien, T.K., Koren, Y., Bley, H., Chryssolouris, G., Nasr, N., and Shpitalni, M., 2011. Assembly System Design and Operations for Product Variety. CIRP Annals - Manufacturing Technology, 60(2), pp. 715–733. 62. Hum, S.H., and Sim, H.H., 1996. Time-based competition: literature review and implications for modelling. International Journal of Operations & Production Management, 16(1), pp.75-90. 63. Inman, R.A., Sale, R.S., Green, K.W. and Whitten, D., 2011. Agile manufacturing: relation to JIT, operational performance and firm performance. Journal of Operations Management, 29(4), pp.343-355. 64. Istvan, R.,1988.Time-Based Competition: The New Series,Boston: Boston Consulting Group. 65. Joing, M.J., 2004. Applicability of lean manufacturing and quick response manufacturing in a high-mix low-volume environment (Doctoral dissertation, Massachusetts Institute of Technology). 66. Jonsson, P., and Mattsson, S.-A., 2002. The Selection and Application of Material Planning Methods. Production Planning & Control, 13(5), pp. 438–450. 67. Kaban, A.K., Othman, Z., and Rohmah, D.S., 2012. Comparison of Dispatching Rules in Job-Shop Schedulingproblem Usingsimulation: A Case Study. International Journal of Simulation Modelling, 11(3), pp. 129–140. 68. Kapanoglu, M., and Alikalfa, M., 2011. Learning IF-THEN Priority Rules for Dynamic Job Shops Using Genetic Algorithms. Robotics and Computer-Integrated Manufacturing, 27(1), pp. 47–55. 69. Kilpatrick. J., 2003. Lean Principles. [online] Available at: http://mhc-net.com/whitepapers_presentations/LeanPrinciples.pdf [Accessed on 17 July 2016]. 70. Kirk, S., and Tebaldi, E., 1997. Design of robotic facilities for agile automobile manufacturing. Industrial Robot: An International Journal, 24(1), pp.72-77. 71. Kleijnen, J.P.., Cheng, R.C.., and Bettonvil, B., 2001. Validation of Trace-Driven Simulation Models: Bootstrap Tests. Management Science, 47(11), pp. 1533–1538. 72. Koestler,A.,1989. The Ghost in the Machine, Boston: Akarna. 73. Krishnamurthy, A., and Suri, R., 2009. Planning and Implementing POLCA: A Card-Based Control System for High Variety or Custom Engineered Products. Production Planning & Control, 20(7), pp. 596–610. 74. Lacerda, A.P., Xambre, A.R., and Alvelos, H.M., 2015. Applying Value Stream Mapping to Eliminate Waste: A Case Study of an Original Equipment Manufacturer for the Automotive Industry. International Journal of Production Research, 54(6), pp. 1708–1720. 75. Law, A.M., Kelton, W.D. and Kelton, W.D., 2000. Simulation modeling and analysis, 3rd edition. New York: McGraw-Hill. 76. Lewis, M.A., and Maylor, H.R., 2007. Game Playing and Operations Management Education. International Journal of Production Economics, 105(1), pp. 134–149. 77. Liker, J. K., 2004. The Toyota way: 14 management principles from the world's greatest manufacturer, New York: McGraw-Hill. 78. Lödding, H., 2013. Handbook of Manufacturing Control : Fundamentals, Description, Configuration. New York: Springer. 79. Lödding, H., Yu, K.-W., and Wiendahl, H.-P., 2003. Decentralized WIP-Oriented Manufacturing Control (DEWIP). Production Planning & Control, 14(1), pp. 42–54. 80. Lowson, R.H., 2003. Strategic Operations Management: The New Competitive Advantage. 81. Maccarthy, B.L., and Fernandes, F.C.F., 2000. A Multi-Dimensional Classification of Production Systems for the Design and Selection of Production Planning and Control Systems. Production Planning & Control, 11(5), pp. 481–496. 82. Masson, C., Smith, A. and Jacobson, S., 2007. Demand-Driven Manufacturing. AMR Research Report. AMR Research, Inc. 83. Meyer, C., 1993. Fast Cycle Time: How to Align Purpose, Strategy, and Structure for Speed, New York: The Free Press. 84. Mizrak, P., and Bayhan, G.M., 2006. Comparative Study of Dispatching Rules in a Real-Life Job Shop Environment. Applied Artificial Intelligence, 20(7), pp. 585–607. 85. Monden, Y., 2011. Toyota production system: an integrated approach to just-in-time, 4th ed., New York: CRC Press. 86. Morales Méndez, J.D., and Silva Rodríguez, R., 2015. Set-up Reduction in an Interconnection Axle Manufacturing Cell Using SMED. International Journal of Advanced Manufacturing Technology, pp. 1–10. 87. Müller, E., Tolujew, J., Kienzle, F., Mu, E., Tolujew, J., and Kienzle, F., 2014. Push-Kanban – a Kanban-Based Production Control Concept for Job Shops. Production Planning & Control, 25(5), pp. 401–413. 88. Nambiar, A.N., 2010. Modern Manufacturing Paradigms – A Comparison. In: Proceedings of International Multiconference of Engineers and Computer Scientists. Hong Kong, 17-19 th May 2010. IMECS. 89. Nave, D., 2002. How to Compare Six Sigma, Lean Management, and the Theory of Constraints. Quality Process, pp. 73–78. 90. Ohno, T., 1988. Toyota Production System: Beyond Large-Scale Production. Microbiology, Portland: CRC Press. 91. Oleson, J.D., 1998. Pathways to Agility: Mass Customization in Action, New York:Wiley. 92. Ōmae, K., 1982. The mind of the strategist: the art of Japanese business, New York: McGraw-Hill. 93. Oo, B.L., and Lim, T.-H., 2016. Game-Based Learning in Construction Management Courses: A Case of Bidding Game. Engineering, Construction and Architectural Management, 23(1), pp. 4–19. 94. Ozelkan, E., and Galambosi, A., 2009. Lampshade Game for Lean Manufacturing. Production Planning & Control, 20(5), pp. 385–402. 95. Panwar, A., Nepal, B.P., Jain, R., and Rathore, A.P.S., 2015. On the Adoption of Lean Manufacturing Principles in Process Industries. Production Planning & Control, 26(7), pp. 564–587. 96. Paternina-Arboleda, C.D., and Das, T.K., 2001. Intelligent Dynamic Control Policies for Serial Production Lines. IIE Transactions (Institute of Industrial Engineers), 33(1), pp. 65–77. 97. Patil, P.S., Parit, S.P., and Burali, Y.N., 2013. Review Paper On ‘ Poka Yoke : The Revolutionary Idea In Total Productive Management ’. International Journal Of Engineering And Science, 2(4), pp. 19–24. 98. Pay. R.,2011. Everybody’s Jumping on the Lean Bandwagon but Many Are Being Taken for a Ride.[online] Available at: http://www.synergy-usa.com/ eNews/ 2011- 03 /Lean Bandwagon.pdf [Accessed on 17 July 2016]. 99. Pine, B.J., 1993. Mass customization: the new frontier in business competition, Boston: Harvard Business Press. 100. Pingyu, Y., and Yu, Y., 2010. A Review on Lean Manufacturing Practices in Small and Medium Enterprises. International Journal of Innovation, Management and Technology, 1(2), pp. 220–225. 101. Plenert, G., 1999. Focusing material requirements planning (MRP) towards performance. European Journal of Operational Research, 119(1), pp.91-99. 102. Poesche, J., 2002. Agile Manufacturing Strategy and Business Ethics. Journal of Business Ethics, 38(4), pp. 307–326. 103. Pozzi, R., Noè, C., and Rossi, T., 2015. Experimenting ‘Learn by Doing’ and ‘learn by Failing’. European Journal of Engineering Education, 40(1), pp. 68–80. 104. Prince, J., and Kay, J.M., 2003. Combining Lean and Agile Characteristics: Creation of Virtual Groups by Enhanced Production Flow Analysis. International Journal of Production Economics, 85(3), pp. 305–318. 105. Pyrek, R., 2010. Quick Response Manufacturing Description. Tarnow Research Papers Collection, 2(16), pp. 109–115. 106. Rajabinasab, A., and Mansour, S., 2011. Dynamic Flexible Job Shop Scheduling with Alternative Process Plans: An Agent-Based Approach. International Journal of Advanced Manufacturing Technology, 54(9-12), pp. 1091–1107. 107. Rajendran, C., and Holthaus, O., 1999. A Comparative Study of Dispatching Rules in Dynamic Flowshops and Jobshops. European Journal of Operational Research, 116(1), pp. 156–170. 108. Ramasesh, R., 1990. Dynamic Job Shop Scheduling - a Survey of Simulation Research. Omega-International Journal of Management Science, 18(1), pp. 43–57. 109. Reeja, M.K., and Rajendran, C., 2000. Dispatching Rules for Scheduling in Assembly Jobshops - Part 2. International Journal of Production Research, 38(10), pp. 2349–2360. 110. Ricondo, I., and Viles, E., 2005. Six Sigma and Its Link to TQM, BPR, Lean and the Learning Organisation. International Journal of Six Sigma and Competitive Advantage, 1(3), p. 323. 111. Riezebos, J., 2010. Design of POLCA Material Control Systems. International Journal of Production Research, 48(5), pp. 1455–1477. 112. Robinson, S., 2004. Simulation: The Practice of Model Development and Use, England:John Wiley & Sons Ltd. 113. Rochette, R., and Sadowski, R.P., 1976. A Statistical Comparison of the Performance of Simple Dispatching Rules for a Particular Set of Job Shops. International Journal of Production Research, 14(1), pp. 63–75. 114. Rybkowski, Z., Zhou, X., Fernandez-Solis, J., and Lavy, S., 2012. Investigation into the Nature of Productivity Gains Observed during the Airplane Game Lean Simulation. Lean Construction Journal 2012, pp. 78–90. 115. Sapkauskiene, A., and Leitoniene, S., 2010. The Concept of Time-Based Competition in the Context of Management Theory. Engineering Economics, (2), pp. 205–213. 116. Satoglu, S.I., and Ucan, K., 2015. Redesigning the Material Supply System of the Automotive Suppliers Based on Lean Principles and an Application. In: IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding. 2015, IEEE. 117. Saurin, T.A., Ribeiro, J.L.D., and Vidor, G., 2012. A Framework for Assessing Poka-Yoke Devices. Journal of Manufacturing Systems, 31(3), pp. 358–366. 118. Schreier, M., 2006. The Value Increment of Mass Customized Products: An Empirical Assessment. Journal of Consumer Behavior, 5(4),pp. 317-327. 119. Schreier, M., 2006. The value increment of mass‐customized products: an empirical assessment. Journal of Consumer Behaviour, 5(4), pp.317-327. 120. Shah, R., and Ward, P.T., 2003. Lean Manufacturing: Context, Practice Bundles, and Performance. Journal of Operations Management, 21(2), pp. 129–149. 121. Sharifi, H., and Zhang, Z., 2001. Agile Manufacturing in Practice Application of a Methodology. International Journal of Operations & Production Management, 21((5/6)), pp. 772–794. 122. Sharma, S., and Agrawal, N., 2009. Selection of a Pull Production Control Policy under Different Demand Situations for a Manufacturing System by AHP-Algorithm. Computers and Operations Research, 36(5), pp. 1622–1632. 123. Sherehiy, B., Karwowski, W., and Layer, J.K., 2007. A Review of Enterprise Agility: Concepts, Frameworks, and Attributes. International Journal of Industrial Ergonomics, 37(5), pp. 445–460. 124. Shingo, S., and Dillon, A.P., 1989. A study of the Toyota production system: From an Industrial Engineering Viewpoint, New York: CRC Press. 125. Sim, K.L., and P. Curatola, A., 1999. Time-Based Competition Competition. International Journal of Quality & Reliability Management, 16(7), pp. 659–674. 126. Sin, H.H., and Sim, H.-H., 1996. Time-Based Competition: Literature Review and Implications for Modelling. International Journal of Operations & Production Management, 16(1), pp. 75 – 90. 127. Slack, N., and Lewis, M., 2008. Operations Strategy. England: Prentice Hall. 128. Slomp, J., Bokhorst, J. a. C., and Germs, R., 2009. A Lean Production Control System for High-Variety/low-Volume Environments: A Case Study Implementation. Production Planning & Control, 20(7), pp. 586–595. 129. So, K.C., and Pinault, S.C., 1988. Allocating Buffer Storage in a Pull System. International Journal of Production Research, 15(May 2013), p. 1959. 130. Spearman, M.L., Woodruff, D.L., and Hopp, W.J., 1990. CONWIP, a Pull Alternative to Kanban. International Journal of Production Research, 28(5), pp. 879–894. 131. Staff, G.P.E. (2016) Quick response manufacturing. Available at: https://www.graphicproducts.com/articles/quick-response-manufacturing/ (Accessed: 17 January 2016). 132. Stalk Jr., G., and Webber, A.M., 1993. Japan’s Dark Side of Time. Harvard Business Review, 71(4), pp. 93–102. 133. Stalk, G., 1988. Time, the Next Source of Competitive Advantage, Boston: Harvard Business Press. 134. Stalk, G., and Hout, T.,1990. Competing Against Time: How Time Based Competition is Reshaping Global Markets, New York: The Free Press. 135. Stalk, J. G., and Webber, A.M., 1993. Japan's dark side of time, Boston: Harvard Business Review. 136. Stevenson, M., Hendry, L.C., and Kingsman, B.G., 2005. A Review of Production Planning and Control: The Applicability of Key Concepts to the Make-to-Order Industry. International Journal of Production Research, 43(5), pp. 869–898. 137. Stewart, P., Murphy, K., Danford, A., Richardson, T., Richardson, M. and Wass, V.J., 2009. We sell our time no more: workers’ struggles against lean production in the British car industry, New York: Pluto Press. 138. Stump, B., and Badurdeen, F., 2009. Integrating lean and other strategies for mass customization manufacturing: a case study. Journal of Intilligent Manufacturing, 23(1), pp. 109-124. 139. Subramaniam, V., Lee, G.K., Hong, G.S., Wong, Y.S., and Ramesh, T., 2000. Dynamic Selection of Dispatching Rules for Job Shop Scheduling. Production Planning & Control, 11(1), pp. 73–81. 140. Suri, R., 1998a. Quick Response Manufacturing: A Companywide Approach to Reducing Lead Times, New York: Productivity Press. 141. Suri, R., 1999b. How quick response manufacturing takes the wait out. The Journal for Quality and Participation, 22(3), p.46. 142. Suri. R., 2003c. How to plan and implement POLCA: A material system for high-variety or custom-engineered products. [online] Available at: https://qrm.engr.wisc. edu /index. php/research/polca3/how-to-plan-and-implement-polca-a-material-system-for-high-variety-or-custom-engineered-products [Accessed on 17 July 2016]. 143. Suri. R., 2003d. QRM and POLCA: A winning combination for manufacturing enterprises in the 21st century. [online] Available at:https://qrm.engr.wisc.edu/index.php/research 144. /polca3/qrm-and-polca-a-winning-combination-for-manufacturing-enterprises-in-the-21st-century7 [Accessed on 17 July 2016]. 145. Suri, R., 2010e. It’s About Time, United States: Productivity Press. 146. Suri. R., 2011f. Beyond Lean: It’s About Time! [online] Available at: http://quickresponse-enterprise.com/wp-content/uploads/2013/10/Beyond-Lean-it-is-about-time-eng.pdf [Accessed on 17 July 2016]. 147. Svensson, C., and Barfod, A., 2002. Limits and Opportunities in Mass Customization For ‘build to order’ SMEs. Computers in Industry, 49(1), pp. 77–89. 148. Tan, K.H., Tse, Y.K., and Chung, P.L., 2010. A Plug and Play Pathway Approach for Operations Management Games Development. Computers and Education, 55(1), pp. 109–117. 149. Todorova, D., 2013. Exploring Lean Implementation Success Factors in Job Shop , Batch Shop , and Assembly Line Manufacturing Settings. 150. Tubino, F., and Suri, R., 2000. What Kind of ‘Numbers’ can a Company Expect After Implementing Quick Response Manufacturing? The Need to Quantify Benefits of QRM. In: Quick Response Manufacturing Conference Proceedings, Dearborn, 2000, Society of Manufacturing Engineers Press. 151. Van der Zee, D.J., and Slomp, J., 2005. Simulation and Gaming as a Support Tool for Lean Manufacturing Systems - a Case Example from Industry. In Proceedings of the 37th conference on Winter simulation, Winter Simulation Conference. 152. Vandaele, N., Van Nieuwenhuyse, I., Claerhout, D., and Cremmery, R., 2008. Load-Based POLCA: An Integrated Material Control System for Multiproduct, Multimachine Job Shops. Manufacturing & Service Operations Management, 10(2), pp. 181–197. 153. Verweire, K., and Van Den Berghe, L. eds., 2004. Integrated performance management: a guide to strategy implementation, London: Sage. 154. Vinodh, S., 2011. Axiomatic modelling of agile production system design. International Journal of Production Research, 49(11), pp.3251-3269. 155. Wakjira, M.W., and Singh, A.P., 2012. Total Productive Maintenance A Case Study. Global Journal of Researches in Engineering, 12(1), pp. 25–23. 156. White, R.E., and Prybutok, V., 2001. The Relationship between JIT Practices and Type of Production System. The International Journal of Management Science, 29(2), pp. 113–124. 157. Wiendahl, H.-P., 1988. Load Oriented Manufacturing Control, New York: Springer-Verlag Berlin Heidelberg. 158. Wind, J., and Rangaswamy, A., 2001. Customerization: The Second Revolution in Mass Customization. Journal of Interactive Marketing, 15(1), pp.13-45. 159. Womack, J.P., and Jones, D.T., 2003. Lean thinking: banish waste and create wealth in your corporation,2nd ed., New York: Free Press. 160. Womack, J.P., Jones, D.T., and Roos, D., 1990. Machine that changed the world, New York: Simon and Schuster. 161. Xavier Alves, J.R., and Murta Alves, J., 2015. Production Management Model Integrating the Principles of Lean Manufacturing and Sustainability Supported by the Cultural Transformation of a Company. International Journal of Production Research, 53(17), pp. 5320–5333. 162. Yusuf, Y.Y., and Adeleye, E.O., 2002. A Comparative Study of Lean and Agile Manufacturing with a Related Survey of Current Practices in the UK. International Journal of Production Research, 40(17), pp. 4545–4562. 163. Zhou, X., Luh, P.B. and Tomastik, R.N., 2000, June. The performance of a new material control and replenishment system: a simulation and comparative study. In : Quick ResponseManufacturing Centre, Proceedings of the quick response manufacturing. Dearborn, June 2000, Society of Manufacturing Engineers. 164. Ziengs, N., Riezebos, J., and Germs, R., 2012. Placement of Effective Work-in-Progress Limits in Route-Specific Unit-Based Pull Systems. International Journal of Production Research, 50(16), pp. 4358–4371.