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GÜNEŞENERJİSİVE SU ISITMA SİSTEMLERİ İMAL EDEN BİR İŞLETMEDE BULANIK İŞLEM SÜRELERİ İLE MALZEME İHTİYAÇ PLANLAMA

Yıl 2004, Sayı: 12, 291 - 311, 01.08.2004

Öz

Malzeme İhtiyaç Planlama MİP sistemi, stok maliyetlerini azaltırken verimliliği ve müşteri memnuniyetini artırmayıhedefleyen bir üretim yönetim sistemidir. Son yıllarda, Türkiye’de özellikle imalat sanayiinde bir çok firma bu sistemi kullanmaya başlamışveya kullanmayıplanlamaktadır. Her yeni sistemde olduğu gibi MİP sistemi, gerçek üretim sistemlerinin doğasında barındırdıklarıkarmaşıklığın ve belirsizliğin etkisiyle, başlangıç aşamasında pek çok güçlük içerir.Bu çalışmada, güneşenerjisi ve su ısıtma sistemleri imal eden bir işletmede, işlem sürelerindeki belirsizliğin Bulanık Küme Teorisi ile tanımlandığıdurumda MİP sisteminin uygulanmasıincelenmektedir.

Kaynakça

  • ACAR, N., (1998): “Üretim Planlaması Yöntem ve Uygulamaları”. Ankara, Milli Prodüktivite Merkezi.
  • ANG, J. S. K., SUM, C. C., YEO, L. N., (2002): A multiple-case design methodology for studying MRP success and CSFs. “Information & Management”, Volume 39, Issue 4, pp 271-281.
  • BUFFA, E. S., SARIN, R. K., (1989): “Modern Production Operations Management”. LA, John Willey& Sons.
  • CHARNES, A., COOPER, W. W., (1959): Chance-constrained programming. “Management Science”, Vol 6, No 1, pp 73-79.
  • CHEN, S. J., HWANG, C. L., (1992): “Fuzzy multiple attribute decision making methods and applications, Lecture Notes in Economics and Mathematical Systems”. New York, Springer.
  • CHENG, C. H., (1998): A new approach for ranking fuzzy numbers by distance method. “Fuzzy Sets and Systems”, Vol 95, pp 307-317.
  • DUBOIS, D., PRADE, H., (1983): Ranking of fuzzy numbers in the setting of possibility theory. “Inform. Science”, Vol 30, pp 183-224.
  • ENNS, S. T., (2002): MRP performance effects due to forecast bias and demand uncertainty. “European Journal of Operational Research”, Volume 138, Issue 1, pp 87-102.
  • GELDERS, L. F., VAN WASSENHOVE, L.N., (1985): Capacity planning in MRP, JIT and OPT: A critique. “Engineering Costs and Production Economics”, Volume 9, Issues 1-3, pp 201-209.
  • GHAZANFARI, M., AHMADVAND, A., 2001, Using crisp-fuzzy numbers to model MRP under lead time uncertainty, Proceedings of 6th Annual International Conference on Industrial Engineering- Theory, Applications and Practice, San Francisco, CA, USA, November 18-20.
  • GROOVER, M. P., (1996): “Fundamentals of Modern Manufacturing”. New Jersey, Prentice-Hall Inc.
  • GRUBBSTRÖM, R. W., MOLINDER, A., (1994): Further theoretical considerations on the relationship between MRP, input-output analysis and multi-echelon inventory systems. “International Journal of Production Economics”, Volume 35, Issues 1-3, pp 299-311.
  • HAMID, A. A., AGUS, A., HASSAN, M. E., (1991): Computerised materials requirement planning in manufacturing companies in Malaysia. “International Journal of Production Economics”, Volume 25, Issues 1-3, pp 73-79.
  • HAX, A. C., CANDEA, D., (1984): “Production and Inventory Management”. New Jersey, Prentice Hall Inc.
  • HO, J. C., CHANG, Y. L., (2001): An integrated MRP and JIT framework. “Computers & Industrial Engineering”, Volume 41, Issue 2, pp 173-185.
  • HULLEY, A. R., (1982): “Manufacturing Organization and Management”. New Jersey, Prentice-Hall Inc.
  • JACOBS, F. R., (1984): OPT Uncovered: Many Production Planning Scheduling Concepts Can Be Applied with or without the Software. “International Journal of Industrial Engineering”, Vol 16, No 10, pp 286- 295.
  • KADIPASAOGLU, S. N., SRIDHARAN, V., (1995): Alternative approaches for reducing schedule instability in multistage manufacturing under demand uncertainty. “Journal of Operations Management”, Volume 13, Issue 3, pp 193-211.
  • LEE, Y. Y., KRAMER, B. A., HWANG, C. L., 1990, Part-period balancing with uncertainty: a fuzzy sets theory approach, International Journal of Production Research, Vol 28, No 10, pp 1771-1778.
  • LEE, Y. Y., KRAMER, B. A., HWANG, C. L., 1991, A comparative study of three lot-sizing methods for the case of fuzzy demand, International Journal of Operations & Production Management, Vol 11, No 7, pp 72-80.
  • LIU, B., IWAMURA, K., (1998a): Chance constrained programming with fuzzy parameters. “Fuzzy Sets and Systems”, Vol 94, No 2, pp227-237.
  • LIU, B., IWAMURA, K., (1998b): A note on chance constrained programming with fuzzy coefficients. “Fuzzy Sets and Systems”, Vol 100, Nos1-3, pp229-233.
  • MANTHOU, V., VLACHOPOULOU, M., THEODOROU, P., (1996): The implementation and use of material requirements planning system in Northern Greece: A case study. “International Journal of Production Economics”, Volume 45, Issues 1-3, pp187-193.
  • MONDEN, Y., (1993): “Toyota Production System-An Integrated Approach to Just-In-Time”, 2nd Edition. Georgia, Engineering & Management Press.
  • ORLICKY, I., (1975): “Material Requirements Planning”. New York, McGraw Hill Inc.
  • PAKSOY, T., (2002): Bulanık Küme Teorisi ve Doğrusal Programlamada Kullanımı: Karşılaştırmalı Bir Analiz. Konya, “Selçuk Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi”, Cilt 17, No 1, pp1-16.
  • PASSARO, E. E., (1997): Case Study: Material requirement planning and the supply chain at Alenia Aircraft. “European Journal of Purchasing & Supply Management”, Volume 3, Issue 1, pp 43-51.
  • PLENERT, G., (1999): Focusing material requirements planning (MRP) towards performance. “European Journal of Operational Research”, Volume 119, Issue 1, pp 91-99.
  • SMITH, S. J., (1990): A simulation study of dynamic planned lead times in material requirements planning systems. “Journal of Operations Management”, Volume 9, Issue 3, pp 430-431.
  • STEVENSON, J. W., (1993): “Production / Operations Management”. Boston, Richard D. Irwin Inc.
  • TANG, O., GRUBBSTRÖM, R. W., (2002): Planning and replanning the master production schedule under demand uncertainty. “International Journal of Production Economics”, Volume 78, Issue 3, pp 323-334.
  • TEMPELMAIER, H., KUHN, H., (1993): “Flexible Manufacturing Systems, Decision Support for Design and Operation”. New York, John Willey& Sons Inc.
  • TERSINE, R. J., 1994, “Principles of Inventory and Materials Management”, 4th Edition. New Jersey, Prentice Hall Inc.
  • WANG, C., WANG, D., IP, W. H., YUEN, D. W., (2002): The single machine ready time scheduling problem with fuzzy processing times. “Fuzzy Sets and Systems”, Vol 127, pp 117-129.
  • ZADEH, L. A., (1965): Fuzzy sets. “Information and Control”, Vol 8, pp 338-353.
  • ZHAO, X., LEE, T. S., (1993): Freezing the master production schedule for material requirements planning systems under demand uncertainty. “Journal of Operations Management”, Volume 11, Issue 2, pp 185-205.
  • ZIMMERMANN, H. J., (1987): “Fuzzy Sets, Decision Making and Expert Systems”. Boston, Kluwer.

Material Requirements Planning MRP system is a production management system which

Yıl 2004, Sayı: 12, 291 - 311, 01.08.2004

Öz

aims for increase in productivity and customer pleasure as decreasing in inventory costs. Recent years, in Turkey, most of firms especially in manufacturing industry started or planned to use this system. MRP system as every new system, with the effect of complexity and uncertainty inherent in real production systems, contains lots of difficulties at the beginning phase. In this study, uncertainty in processing times are dealt with Fuzzy Sets Theory, and an application of material requirements planning system in a firm manufacturing solar energy and water heating systems is presented

Kaynakça

  • ACAR, N., (1998): “Üretim Planlaması Yöntem ve Uygulamaları”. Ankara, Milli Prodüktivite Merkezi.
  • ANG, J. S. K., SUM, C. C., YEO, L. N., (2002): A multiple-case design methodology for studying MRP success and CSFs. “Information & Management”, Volume 39, Issue 4, pp 271-281.
  • BUFFA, E. S., SARIN, R. K., (1989): “Modern Production Operations Management”. LA, John Willey& Sons.
  • CHARNES, A., COOPER, W. W., (1959): Chance-constrained programming. “Management Science”, Vol 6, No 1, pp 73-79.
  • CHEN, S. J., HWANG, C. L., (1992): “Fuzzy multiple attribute decision making methods and applications, Lecture Notes in Economics and Mathematical Systems”. New York, Springer.
  • CHENG, C. H., (1998): A new approach for ranking fuzzy numbers by distance method. “Fuzzy Sets and Systems”, Vol 95, pp 307-317.
  • DUBOIS, D., PRADE, H., (1983): Ranking of fuzzy numbers in the setting of possibility theory. “Inform. Science”, Vol 30, pp 183-224.
  • ENNS, S. T., (2002): MRP performance effects due to forecast bias and demand uncertainty. “European Journal of Operational Research”, Volume 138, Issue 1, pp 87-102.
  • GELDERS, L. F., VAN WASSENHOVE, L.N., (1985): Capacity planning in MRP, JIT and OPT: A critique. “Engineering Costs and Production Economics”, Volume 9, Issues 1-3, pp 201-209.
  • GHAZANFARI, M., AHMADVAND, A., 2001, Using crisp-fuzzy numbers to model MRP under lead time uncertainty, Proceedings of 6th Annual International Conference on Industrial Engineering- Theory, Applications and Practice, San Francisco, CA, USA, November 18-20.
  • GROOVER, M. P., (1996): “Fundamentals of Modern Manufacturing”. New Jersey, Prentice-Hall Inc.
  • GRUBBSTRÖM, R. W., MOLINDER, A., (1994): Further theoretical considerations on the relationship between MRP, input-output analysis and multi-echelon inventory systems. “International Journal of Production Economics”, Volume 35, Issues 1-3, pp 299-311.
  • HAMID, A. A., AGUS, A., HASSAN, M. E., (1991): Computerised materials requirement planning in manufacturing companies in Malaysia. “International Journal of Production Economics”, Volume 25, Issues 1-3, pp 73-79.
  • HAX, A. C., CANDEA, D., (1984): “Production and Inventory Management”. New Jersey, Prentice Hall Inc.
  • HO, J. C., CHANG, Y. L., (2001): An integrated MRP and JIT framework. “Computers & Industrial Engineering”, Volume 41, Issue 2, pp 173-185.
  • HULLEY, A. R., (1982): “Manufacturing Organization and Management”. New Jersey, Prentice-Hall Inc.
  • JACOBS, F. R., (1984): OPT Uncovered: Many Production Planning Scheduling Concepts Can Be Applied with or without the Software. “International Journal of Industrial Engineering”, Vol 16, No 10, pp 286- 295.
  • KADIPASAOGLU, S. N., SRIDHARAN, V., (1995): Alternative approaches for reducing schedule instability in multistage manufacturing under demand uncertainty. “Journal of Operations Management”, Volume 13, Issue 3, pp 193-211.
  • LEE, Y. Y., KRAMER, B. A., HWANG, C. L., 1990, Part-period balancing with uncertainty: a fuzzy sets theory approach, International Journal of Production Research, Vol 28, No 10, pp 1771-1778.
  • LEE, Y. Y., KRAMER, B. A., HWANG, C. L., 1991, A comparative study of three lot-sizing methods for the case of fuzzy demand, International Journal of Operations & Production Management, Vol 11, No 7, pp 72-80.
  • LIU, B., IWAMURA, K., (1998a): Chance constrained programming with fuzzy parameters. “Fuzzy Sets and Systems”, Vol 94, No 2, pp227-237.
  • LIU, B., IWAMURA, K., (1998b): A note on chance constrained programming with fuzzy coefficients. “Fuzzy Sets and Systems”, Vol 100, Nos1-3, pp229-233.
  • MANTHOU, V., VLACHOPOULOU, M., THEODOROU, P., (1996): The implementation and use of material requirements planning system in Northern Greece: A case study. “International Journal of Production Economics”, Volume 45, Issues 1-3, pp187-193.
  • MONDEN, Y., (1993): “Toyota Production System-An Integrated Approach to Just-In-Time”, 2nd Edition. Georgia, Engineering & Management Press.
  • ORLICKY, I., (1975): “Material Requirements Planning”. New York, McGraw Hill Inc.
  • PAKSOY, T., (2002): Bulanık Küme Teorisi ve Doğrusal Programlamada Kullanımı: Karşılaştırmalı Bir Analiz. Konya, “Selçuk Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi”, Cilt 17, No 1, pp1-16.
  • PASSARO, E. E., (1997): Case Study: Material requirement planning and the supply chain at Alenia Aircraft. “European Journal of Purchasing & Supply Management”, Volume 3, Issue 1, pp 43-51.
  • PLENERT, G., (1999): Focusing material requirements planning (MRP) towards performance. “European Journal of Operational Research”, Volume 119, Issue 1, pp 91-99.
  • SMITH, S. J., (1990): A simulation study of dynamic planned lead times in material requirements planning systems. “Journal of Operations Management”, Volume 9, Issue 3, pp 430-431.
  • STEVENSON, J. W., (1993): “Production / Operations Management”. Boston, Richard D. Irwin Inc.
  • TANG, O., GRUBBSTRÖM, R. W., (2002): Planning and replanning the master production schedule under demand uncertainty. “International Journal of Production Economics”, Volume 78, Issue 3, pp 323-334.
  • TEMPELMAIER, H., KUHN, H., (1993): “Flexible Manufacturing Systems, Decision Support for Design and Operation”. New York, John Willey& Sons Inc.
  • TERSINE, R. J., 1994, “Principles of Inventory and Materials Management”, 4th Edition. New Jersey, Prentice Hall Inc.
  • WANG, C., WANG, D., IP, W. H., YUEN, D. W., (2002): The single machine ready time scheduling problem with fuzzy processing times. “Fuzzy Sets and Systems”, Vol 127, pp 117-129.
  • ZADEH, L. A., (1965): Fuzzy sets. “Information and Control”, Vol 8, pp 338-353.
  • ZHAO, X., LEE, T. S., (1993): Freezing the master production schedule for material requirements planning systems under demand uncertainty. “Journal of Operations Management”, Volume 11, Issue 2, pp 185-205.
  • ZIMMERMANN, H. J., (1987): “Fuzzy Sets, Decision Making and Expert Systems”. Boston, Kluwer.
Toplam 37 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Research Article
Yazarlar

Turan Paksoy Bu kişi benim

Fulya Altıparmak Bu kişi benim

Yayımlanma Tarihi 1 Ağustos 2004
Yayımlandığı Sayı Yıl 2004 Sayı: 12

Kaynak Göster

APA Paksoy, T., & Altıparmak, F. (2004). GÜNEŞENERJİSİVE SU ISITMA SİSTEMLERİ İMAL EDEN BİR İŞLETMEDE BULANIK İŞLEM SÜRELERİ İLE MALZEME İHTİYAÇ PLANLAMA. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi(12), 291-311.


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