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Çekme sistemleri için karşılaştırmalı bir analiz ve bir karar destek sistemi önerisi

Year 2019, Volume: 7 Issue: 3, 523 - 539, 27.09.2019
https://doi.org/10.29109/gujsc.501888

Abstract

Çekme sistemi, malzeme hareketinin bir
sinyal aracılığı ile tetiklendiği üretim yaklaşımıdır. Çekme sistemi genelde
kanban sistemi ile aynı anlamda kullanılmasına rağmen bazı üretim ortamlarında
kanban sisteminin iyi çalışmadığı görülmüş ve kanbana alternatif olan CONWIP ve
POLCA gibi çekme sistemleri geliştirilmiştir. Literatürdeki farklı çekme
sistemlerinden dolayı üretim ortamına ve pazar şartlarına uygun çekme
sisteminin seçilmesi etkili üretim sistemleri geliştirilmesinde önemli bir rol
oynamaktadır. Bu çalışmada kanbana alternatif olarak önerilen CONWIP ve POLCA
çekme sistemleri incelenmiş ve karşılaştırılmalı bir değerlendirme sunulmuştur.
Bu değerlendirmenin sonucu olarak ta uygun çekme sisteminin seçilmesinde
yardımcı olabilecek bir karar destek sistemi geliştirilmiştir. Bu karar destek
sistemi bulanık mantık teorisine dayalı olarak çalışmaktadır. Deneysel sonuçlar
karar destek sisteminin farklı girdiler için iyi sonuçlar üretebildiğini
göstermiştir.

References

  • C. Karrer, Engineering Production Control Strategies: A Guide to Tailor Strategies that Unite the Merits of Push and Pull, Springer-Verlag Berlin, 2012.
  • T. Fujimoto, The Birth of Lean, Conservations with Taiichi Ohno, Eiji Toyoda and other figures who shaped Toyota management, Lean Enterprise Institute, USA, 2009.
  • A. Puchkova, J. Le Romancer, D. McFarlane, Balancing Push and Pull Strategies within the Production System. IFAC-PapersOnLine, 49: 2 (2016) 66-71.
  • R. Suri, Quick Response Manufacturing: A Companywide Approach to Reducing Lead Times, Productivity Press, Portland, USA, 1998.
  • J. J. A. Leeman, Supply Chain Management: Fast, Flexible Supply Chains in Manufacturing and Retailing, Institute for Business Process Management, Germany, 2010.
  • D. Minnich, F. H. Maier, Responsiveness and Efficiency of Pull-Based and Push-Based Planning Systems in the High-Tech Electronics Industry, 25th International Conference of the System Dynamics Society, (2007) 3035–3067.
  • M. C. Bonney, A. Zhang, M. A. Head, C. C. Tien, R. J. Barson, Are push and pull system really so different?. International Journal of Production Economics, 59: 1 (1999) 53-64.
  • J. Teeravaraprug, S. Stapholdecha, Performance Analysis of Push, Pull, and Mixed Systems. Thammasat Int. J. Sc. Tech., 9: 4 (2004) 29–36.
  • P. M. Gonçalves, Demand Bubbles and Phantom Orders in Supply Chains, Doctoral Thesis, Massachusetts Institute of Technology, USA, 2003.
  • S. L. David, P. Kaminsky, E. Simchi-Levi, Designing and managing the supply chain: Concepts, strategies, and case studies, 2nd ed., New York, 2003.
  • O. Ghrayeb, N. Phojanamongkolkij, B. A. Tan, A hybrid push/pull system in assemble-to-order manufacturing environment. J Intell Manuf, 20 (2009) 379-387.
  • W. J. Hopp, M. L. Spearman, Factory Physics, 3rd edition. Long Grove, Illinois: Waveland Press Inc, USA, 2008.
  • W. J. Hopp, M. L. Spearman, R. D. Irwin, Factory Physics, Chicago, IL, USA ,1996.
  • J. Nicholas, Lean Production for Competitive Advantage: A Comprehensive Guide to Lean Methodologies and Management Practices, CRC Press, USA ,2010.
  • Y. Monden, Toyota Production System: Practical Approach to Production Management, Industrial Engineering and Management Press, Atlanta, 1983.
  • M. Stevenson, L. C. Hendry, B. G. Kingsman, 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 (2005) 869-898.
  • M. L. Spearman, D. L. Woodruff, W. J. Hopp, CONWIP: a pull alternative to kanban. Int. J. Prod. Res, 28: 5 (1990) 879-894.
  • R. Marek, D. Elkins, D. Smith, Understanding the fundamentals of Kanban and CONWIP pull systems using simulation, Winter Simulation Conference Proceedings 2001, (2001) 921-929.
  • T. Ohno, Toyota Production System-beyond large-scale production, Productivity Press, USA, 1988.
  • Y. K. Ghamari, A performance comparison between kanban and CONWIP controlled assembly systems. J. Intell Manuf., 20 (2009) 751-760.
  • B. Gasterman, M. Stopper, B. Katalinic, Adapting conwip characteristics for conventional production planning. Daam Internetional Scientific Book, 46 (2012) 553-564.
  • Y. Jaegler, P. Burlat, S. Lamouri, The ConWIP Production Control System: A Literature Review, Information Systems Logistics and Supply Chain 6th ILS Conference, 2016.
  • E. G. A., Gaury, H. Pierreval, J. P. C. Kleijnen, An Evolutionary approach to select a pull system among Kanban, Conwip and Hybrid. Journal of Intelligent Manufacturing, 11 (2000) 157-167.
  • J. W. Li, Comparing kanban with CONWIP in a make-to-oder environmet supported by JIT practices. Journal of the Chinese Institute of Industrial Engineers, 28 (2011) 72-88.
  • R. Suri, A. Krishnamurty, How to Plan and Implement POLCA: A Material Control System for High-Variety or Custom-Engineered Products, Technical Report, Centre for Quick Response Manufacturing, 2003.
  • J. Riezebos, Design of POLCA material control systems. International Journal of Production Research, 48: 5 (2010) 1455-1477.
  • T. Frazee, C. Standridge, CONWIP versus POLCA: A Comparative Analysis in a High-Mix, Low-Volume (HMLV) Manufacturing Environment with Batch Processing. Journal of Industrial Engineering and Management JIEM, 9: 2 (2016) 432-449.
  • A. Farnoush, M. Wiktorsson, Polca and Conwip performance in a divergent production line, an automotive case study. J. Manag Control, 24 (2013) 159-186.
  • C. C. Huang, A. Kusiak, Overview of Kanban systems. Int. J. Computer Integrated Manufacturing, 3 (1996) 169-189.
  • J. A. Pettersen, A. Segerstedt, 2009, Restricted work-in-process: A study of differences between Kanban and CONWIP. International Journal of Production Economics, 118 (2009) 199-207.
  • W. H. Ip, M. Huang, K. L. Yung, D. Wang, X. Wang, Conwip based control of a lamp assembly production line. J. Intell Manuf, 18 (2007) 261-271.
  • M. L. Spearman., M. A. Zazanis, Push and pull production systems: issues and comparisons. Operations Research, 40 (1992) 521–532.
  • A. Krishnamurty, R. Suri, Planning and implementing POLCA: a card-based control system for high variety or custom engineered products. Production Planning & Control, 20: 7 (2009) 596-610.
  • Ö. Kabadurmuş, A comparative study of POLCA and generic CONWIP production control systems in erratic demand conditions. IIE Lean Division Lean Student Paper Competition, 2009.
  • S. Gstettner, H. Khun, Analysis of production control systems kanban and CONWIP. Int. Journal of Production Research, 34: 11 (1996) 3253-3274.
Year 2019, Volume: 7 Issue: 3, 523 - 539, 27.09.2019
https://doi.org/10.29109/gujsc.501888

Abstract

References

  • C. Karrer, Engineering Production Control Strategies: A Guide to Tailor Strategies that Unite the Merits of Push and Pull, Springer-Verlag Berlin, 2012.
  • T. Fujimoto, The Birth of Lean, Conservations with Taiichi Ohno, Eiji Toyoda and other figures who shaped Toyota management, Lean Enterprise Institute, USA, 2009.
  • A. Puchkova, J. Le Romancer, D. McFarlane, Balancing Push and Pull Strategies within the Production System. IFAC-PapersOnLine, 49: 2 (2016) 66-71.
  • R. Suri, Quick Response Manufacturing: A Companywide Approach to Reducing Lead Times, Productivity Press, Portland, USA, 1998.
  • J. J. A. Leeman, Supply Chain Management: Fast, Flexible Supply Chains in Manufacturing and Retailing, Institute for Business Process Management, Germany, 2010.
  • D. Minnich, F. H. Maier, Responsiveness and Efficiency of Pull-Based and Push-Based Planning Systems in the High-Tech Electronics Industry, 25th International Conference of the System Dynamics Society, (2007) 3035–3067.
  • M. C. Bonney, A. Zhang, M. A. Head, C. C. Tien, R. J. Barson, Are push and pull system really so different?. International Journal of Production Economics, 59: 1 (1999) 53-64.
  • J. Teeravaraprug, S. Stapholdecha, Performance Analysis of Push, Pull, and Mixed Systems. Thammasat Int. J. Sc. Tech., 9: 4 (2004) 29–36.
  • P. M. Gonçalves, Demand Bubbles and Phantom Orders in Supply Chains, Doctoral Thesis, Massachusetts Institute of Technology, USA, 2003.
  • S. L. David, P. Kaminsky, E. Simchi-Levi, Designing and managing the supply chain: Concepts, strategies, and case studies, 2nd ed., New York, 2003.
  • O. Ghrayeb, N. Phojanamongkolkij, B. A. Tan, A hybrid push/pull system in assemble-to-order manufacturing environment. J Intell Manuf, 20 (2009) 379-387.
  • W. J. Hopp, M. L. Spearman, Factory Physics, 3rd edition. Long Grove, Illinois: Waveland Press Inc, USA, 2008.
  • W. J. Hopp, M. L. Spearman, R. D. Irwin, Factory Physics, Chicago, IL, USA ,1996.
  • J. Nicholas, Lean Production for Competitive Advantage: A Comprehensive Guide to Lean Methodologies and Management Practices, CRC Press, USA ,2010.
  • Y. Monden, Toyota Production System: Practical Approach to Production Management, Industrial Engineering and Management Press, Atlanta, 1983.
  • M. Stevenson, L. C. Hendry, B. G. Kingsman, 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 (2005) 869-898.
  • M. L. Spearman, D. L. Woodruff, W. J. Hopp, CONWIP: a pull alternative to kanban. Int. J. Prod. Res, 28: 5 (1990) 879-894.
  • R. Marek, D. Elkins, D. Smith, Understanding the fundamentals of Kanban and CONWIP pull systems using simulation, Winter Simulation Conference Proceedings 2001, (2001) 921-929.
  • T. Ohno, Toyota Production System-beyond large-scale production, Productivity Press, USA, 1988.
  • Y. K. Ghamari, A performance comparison between kanban and CONWIP controlled assembly systems. J. Intell Manuf., 20 (2009) 751-760.
  • B. Gasterman, M. Stopper, B. Katalinic, Adapting conwip characteristics for conventional production planning. Daam Internetional Scientific Book, 46 (2012) 553-564.
  • Y. Jaegler, P. Burlat, S. Lamouri, The ConWIP Production Control System: A Literature Review, Information Systems Logistics and Supply Chain 6th ILS Conference, 2016.
  • E. G. A., Gaury, H. Pierreval, J. P. C. Kleijnen, An Evolutionary approach to select a pull system among Kanban, Conwip and Hybrid. Journal of Intelligent Manufacturing, 11 (2000) 157-167.
  • J. W. Li, Comparing kanban with CONWIP in a make-to-oder environmet supported by JIT practices. Journal of the Chinese Institute of Industrial Engineers, 28 (2011) 72-88.
  • R. Suri, A. Krishnamurty, How to Plan and Implement POLCA: A Material Control System for High-Variety or Custom-Engineered Products, Technical Report, Centre for Quick Response Manufacturing, 2003.
  • J. Riezebos, Design of POLCA material control systems. International Journal of Production Research, 48: 5 (2010) 1455-1477.
  • T. Frazee, C. Standridge, CONWIP versus POLCA: A Comparative Analysis in a High-Mix, Low-Volume (HMLV) Manufacturing Environment with Batch Processing. Journal of Industrial Engineering and Management JIEM, 9: 2 (2016) 432-449.
  • A. Farnoush, M. Wiktorsson, Polca and Conwip performance in a divergent production line, an automotive case study. J. Manag Control, 24 (2013) 159-186.
  • C. C. Huang, A. Kusiak, Overview of Kanban systems. Int. J. Computer Integrated Manufacturing, 3 (1996) 169-189.
  • J. A. Pettersen, A. Segerstedt, 2009, Restricted work-in-process: A study of differences between Kanban and CONWIP. International Journal of Production Economics, 118 (2009) 199-207.
  • W. H. Ip, M. Huang, K. L. Yung, D. Wang, X. Wang, Conwip based control of a lamp assembly production line. J. Intell Manuf, 18 (2007) 261-271.
  • M. L. Spearman., M. A. Zazanis, Push and pull production systems: issues and comparisons. Operations Research, 40 (1992) 521–532.
  • A. Krishnamurty, R. Suri, Planning and implementing POLCA: a card-based control system for high variety or custom engineered products. Production Planning & Control, 20: 7 (2009) 596-610.
  • Ö. Kabadurmuş, A comparative study of POLCA and generic CONWIP production control systems in erratic demand conditions. IIE Lean Division Lean Student Paper Competition, 2009.
  • S. Gstettner, H. Khun, Analysis of production control systems kanban and CONWIP. Int. Journal of Production Research, 34: 11 (1996) 3253-3274.
There are 35 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Tasarım ve Teknoloji
Authors

İhsan Erozan 0000-0003-3649-2986

Publication Date September 27, 2019
Submission Date December 24, 2018
Published in Issue Year 2019 Volume: 7 Issue: 3

Cite

APA Erozan, İ. (2019). Çekme sistemleri için karşılaştırmalı bir analiz ve bir karar destek sistemi önerisi. Gazi University Journal of Science Part C: Design and Technology, 7(3), 523-539. https://doi.org/10.29109/gujsc.501888

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