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A SCENARIO ANALYSIS ON THE EFFECT OF INDUSTRY 4.0 ON INVENTORY COSTS IN PRODUCTION SYSTEMS

Yıl 2020, Sayı: 2, 125 - 143, 18.03.2020

Öz

In a growing competitive environment, Industry 4.0 represents a total autonomous production concept where companies take advantage of technologies such as internet of things, cyber-physical production systems, 3-D printers, smart machines and storage systems to eliminate human factor from production processes. In parallel with the development of Industry 4.0, smart production systems are superior to traditional production systems in various ways such as high productivity and capacity usage. Moreover, a considerable amount of investment is required in the configuration phase of smart production systems. Low capacity flexibility might prevent smart production systems to satisfy the demand that exceeds the predetermined capacity. This study compares the intelligent production system with the traditional production system by taking into account the order quantity and scheduling problem under the assumptions of multiple product production and sequence dependent preparation costs in the finite planning horizon. The study aims to determine the cases where smart production systems are advantageous and disadvantageous with respect to inventory costs. The analysis shows that the degree of benefit from the increase in productivity with fully automated machines in intelligent production systems is closely related to determining the correct capacity.

Kaynakça

  • • ALMADA-LOBO, B., KLABJAN, D., ANTÓNIA CARRAVILLA, M. & OLIVEIRA, J. F., (2007), Single machine multi-product capacitated lot sizing with sequence-dependent setups, International Journal of Production Research, 45 (20), 4873-4894.
  • • ALMADA-LOBO, B., KLABJAN, D., CARRAVILLA, M. A. & OLIVEIRA, J. F., (2010), Multiple machine continuous setup lotsizing with sequence-dependent setups, Computational Optimization and Applications, 47 (3), 529-552.
  • • BRETTEL, M., FRIEDERICHSEN, N., KELLER, M., & ROSENBERG, M., (2014), How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 Perspective, International Journal of Mechanical, Industrial Science and Engineering, 8 (1), 37-44.
  • • DREXL, A. & KIMMS, A., (1997), Lot sizing and scheduling - Survey and extensions, European Journal of Operational Research, 99 (2), 221-235.
  • • FLEISCHMANN, B., (1990), The discrete lot-sizing and scheduling problem, European Journal of Operational Research, 44 (3), 337-348.
  • • FLEISCHMANN, B., (1994), The discrete lot-sizing and scheduling problem with sequence-dependent setup costs, European Journal of Operational Research, 75 (2), 395-404.
  • • GUPTA, D. & MAGNUSSON, T., (2005), The capacitated lot-sizing and scheduling problem with sequence-dependent setup costs and setup times, Computers & Operations Research, 32 (4), 727-747.
  • • HAASE, K., (1994), Lot-sizing and scheduling for production planning, Springer, Berlin.
  • • HAASE, K., (1996), Capacitated lot-sizing with sequence dependent setup costs, Operations-Research-Spektrum, 18 (1), 51-59.
  • • HAASE, K. & KIMMS, A., (2000), Lot sizing and scheduling with sequence-dependent setup costs and times and efficient rescheduling opportunities, International Journal of Production Economics, 66 (2), 159-169.
  • • INDUSTRY 4.0: DEFINITION, Design Principles, Challenges and the Future of Employment, https://www.cleverism.com/industry-4-0/), Erişim Tarihi: 29.08.2018.
  • • JÄNICKE, M. & JACOB, K., (2009), A Third Industrial Revolution? Solutions to the crisis of resource-intensive growth, Forschungsstelle Für Umweltpolitik, Report.
  • • KAGERMANN, H., HELBIG, J., HELLINGER, A. & WAHLSTER, W., (2013), Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry; final report of the Industrie 4.0 Working Group, Forschungsunion.
  • • NEMHAUSER, G. L. & WOLSEY, L. A., (1988), Integer and combinatorial optimization, Interscience series in discrete mathematics and optimization, New Jersey: John Wiley & Sons.
  • • PAMUK, N. S. & SOYSAL, M., (2018), Yeni Sanayi Devrimi Endüstri 4.0 Üzerine Bir İnceleme, Verimlilik Dergisi, 1, 41-66.
  • • RÜßMANN, M., LORENZ, M., GERBERT, P., WALDNER, M., JUSTUS, J., ENGEL, P. & HARNISCH, M., (2015), Industry 4.0: The future of productivity and growth in manufacturing industries, Boston Consulting Group, 9.
  • • SMUNT, T. L. & MEREDITH, J., (2000), A comparison of direct cost savings between flexible automation and labor with learning, Production and Operations Management, 9 (2), 158-170.
  • • STEVENSON, W. J., (2015), Operations Management, McGraw Hill, New York.
  • • VUKSANOVIC, D., UGARAK, J. & KORČOK, D., (2016), Industry 4.0: The future concepts and new visions of factory of the future development, Conference Sinteza 2016.
  • • YIN, Y., STECKE, K. E. & LI, D., (2018), The evolution of production systems from Industry 2.0 through Industry 4.0, International Journal of Production Research, 56 (1-2), 848-861.
  • • ZHENG, P., WANG, H., SANG, Z., ZHONG, R. Y., LIU, Y., LIU, C., MUBAROK, K., YU, S. & XU, X., (2018), Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios and future perspectives, Frontiers of Mechanical Engineering, 1-14.
  • • ZHU, X. & WILHELM, W. E., (2006), Scheduling and lot sizing with sequence-dependent setup: A literature review, IIE transactions, 38 (11), 987-1007.

ÜRETİM SİSTEMLERİNDE ENDÜSTRİ 4.0’IN ENVANTER MALİYETLERİNE ETKİSİ ÜZERİNE BİR SENARYO İNCELEMESİ

Yıl 2020, Sayı: 2, 125 - 143, 18.03.2020

Öz

Endüstri 4.0, artan küresel çaptaki rekabet ortamında üretim işletmelerinin nesnelerin interneti, siber-fiziksel üretim sistemleri, üç boyutlu yazıcılar, akıllı makineler ve depolama sistemleri gibi teknolojileri kullanarak insan faktörünün ortadan kaldırıldığı tamamen otonom bir üretim anlayışını temsil etmektedir. Endüstri 4.0‘ın gelişimi ile paralel olarak, akıllı üretim sistemleri başta yüksek verimlilik ve kapasite kullanım oranı gibi birçok açıdan geleneksel üretim sistemlerine üstünlük sağlamaktadır. Diğer yandan, akıllı üretim sistemlerinin kurulum aşamasında yüksek miktarda yatırım gerekmektedir. Düşük kapasite esnekliği akıllı üretim sistemlerinin önceden belirlenen kapasitenin üstündeki talepleri karşılamasını engelleyebilmektedir. Bu çalışma, akıllı üretim sistemi ile geleneksel üretim sistemini sonlu planlama ufkunda birden çok ürün üretimi ve sıra bağımlı hazırlık maliyeti varsayımlarını altındaki bir sipariş miktarı ve çizelgeleme problemini dikkate alarak karşılaştırmaktadır. Çalışmanın amacı, akıllı üretim sistemlerinin hangi durumlarda envanter maliyetleri açısından avantajlı, hangi durumlarda dezavantajlı hale geldiğini tespit etmektir. Yapılan analizler, akıllı üretim sistemlerindeki tam otomasyona sahip makineler ile verimlilikteki artıştan sağlanacak faydanın derecesinin doğru kapasite belirlenmesi ile yakından ilişkili olduğunu ortaya koymaktadır.

Kaynakça

  • • ALMADA-LOBO, B., KLABJAN, D., ANTÓNIA CARRAVILLA, M. & OLIVEIRA, J. F., (2007), Single machine multi-product capacitated lot sizing with sequence-dependent setups, International Journal of Production Research, 45 (20), 4873-4894.
  • • ALMADA-LOBO, B., KLABJAN, D., CARRAVILLA, M. A. & OLIVEIRA, J. F., (2010), Multiple machine continuous setup lotsizing with sequence-dependent setups, Computational Optimization and Applications, 47 (3), 529-552.
  • • BRETTEL, M., FRIEDERICHSEN, N., KELLER, M., & ROSENBERG, M., (2014), How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 Perspective, International Journal of Mechanical, Industrial Science and Engineering, 8 (1), 37-44.
  • • DREXL, A. & KIMMS, A., (1997), Lot sizing and scheduling - Survey and extensions, European Journal of Operational Research, 99 (2), 221-235.
  • • FLEISCHMANN, B., (1990), The discrete lot-sizing and scheduling problem, European Journal of Operational Research, 44 (3), 337-348.
  • • FLEISCHMANN, B., (1994), The discrete lot-sizing and scheduling problem with sequence-dependent setup costs, European Journal of Operational Research, 75 (2), 395-404.
  • • GUPTA, D. & MAGNUSSON, T., (2005), The capacitated lot-sizing and scheduling problem with sequence-dependent setup costs and setup times, Computers & Operations Research, 32 (4), 727-747.
  • • HAASE, K., (1994), Lot-sizing and scheduling for production planning, Springer, Berlin.
  • • HAASE, K., (1996), Capacitated lot-sizing with sequence dependent setup costs, Operations-Research-Spektrum, 18 (1), 51-59.
  • • HAASE, K. & KIMMS, A., (2000), Lot sizing and scheduling with sequence-dependent setup costs and times and efficient rescheduling opportunities, International Journal of Production Economics, 66 (2), 159-169.
  • • INDUSTRY 4.0: DEFINITION, Design Principles, Challenges and the Future of Employment, https://www.cleverism.com/industry-4-0/), Erişim Tarihi: 29.08.2018.
  • • JÄNICKE, M. & JACOB, K., (2009), A Third Industrial Revolution? Solutions to the crisis of resource-intensive growth, Forschungsstelle Für Umweltpolitik, Report.
  • • KAGERMANN, H., HELBIG, J., HELLINGER, A. & WAHLSTER, W., (2013), Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry; final report of the Industrie 4.0 Working Group, Forschungsunion.
  • • NEMHAUSER, G. L. & WOLSEY, L. A., (1988), Integer and combinatorial optimization, Interscience series in discrete mathematics and optimization, New Jersey: John Wiley & Sons.
  • • PAMUK, N. S. & SOYSAL, M., (2018), Yeni Sanayi Devrimi Endüstri 4.0 Üzerine Bir İnceleme, Verimlilik Dergisi, 1, 41-66.
  • • RÜßMANN, M., LORENZ, M., GERBERT, P., WALDNER, M., JUSTUS, J., ENGEL, P. & HARNISCH, M., (2015), Industry 4.0: The future of productivity and growth in manufacturing industries, Boston Consulting Group, 9.
  • • SMUNT, T. L. & MEREDITH, J., (2000), A comparison of direct cost savings between flexible automation and labor with learning, Production and Operations Management, 9 (2), 158-170.
  • • STEVENSON, W. J., (2015), Operations Management, McGraw Hill, New York.
  • • VUKSANOVIC, D., UGARAK, J. & KORČOK, D., (2016), Industry 4.0: The future concepts and new visions of factory of the future development, Conference Sinteza 2016.
  • • YIN, Y., STECKE, K. E. & LI, D., (2018), The evolution of production systems from Industry 2.0 through Industry 4.0, International Journal of Production Research, 56 (1-2), 848-861.
  • • ZHENG, P., WANG, H., SANG, Z., ZHONG, R. Y., LIU, Y., LIU, C., MUBAROK, K., YU, S. & XU, X., (2018), Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios and future perspectives, Frontiers of Mechanical Engineering, 1-14.
  • • ZHU, X. & WILHELM, W. E., (2006), Scheduling and lot sizing with sequence-dependent setup: A literature review, IIE transactions, 38 (11), 987-1007.
Toplam 22 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Sedat Belbağ

Mustafa Çimen

Mehmet Soysal

Yayımlanma Tarihi 18 Mart 2020
Gönderilme Tarihi 15 Kasım 2018
Yayımlandığı Sayı Yıl 2020 Sayı: 2

Kaynak Göster

APA Belbağ, S., Çimen, M., & Soysal, M. (2020). ÜRETİM SİSTEMLERİNDE ENDÜSTRİ 4.0’IN ENVANTER MALİYETLERİNE ETKİSİ ÜZERİNE BİR SENARYO İNCELEMESİ. Verimlilik Dergisi(2), 125-143.

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22408  Verimlilik Dergisi Creative Commons Atıf-GayrıTicari 4.0 Uluslararası Lisansı (CC BY-NC 4.0) ile lisanslanmıştır.