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

Yıl 2019, Cilt 7, Sayı 3, 523 - 539, 27.09.2019
https://doi.org/10.29109/gujsc.501888

Öz

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.

Kaynakça

  • 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.

Yıl 2019, Cilt 7, Sayı 3, 523 - 539, 27.09.2019
https://doi.org/10.29109/gujsc.501888

Öz

Kaynakça

  • 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.

Ayrıntılar

Birincil Dil Türkçe
Konular Mühendislik
Bölüm Tasarım ve Teknoloji
Yazarlar

İhsan EROZAN (Sorumlu Yazar)
DUMLUPINAR ÜNİVERSİTESİ
0000-0003-3649-2986
Türkiye

Yayımlanma Tarihi 27 Eylül 2019
Başvuru Tarihi 24 Aralık 2018
Yayınlandığı Sayı Yıl 2019, Cilt 7, Sayı 3

Kaynak Göster

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 . DOI: 10.29109/gujsc.501888

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