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SIMULATION OPTIMIZATION APPROACH TO PERIODIC REVIEW INVENTORY CONTROL SYSTEM WITH BACKORDERS

Yıl 2020, Cilt: 29 Sayı: 1, 200 - 212, 20.04.2020
https://doi.org/10.35379/cusosbil.718113

Öz

In today's competitive world, companies should minimize cost while providing high quality goods. Companies generally try to reduce the level of inventory to minimize the cost and therefore they usually observe shortage in practice. At this point, using of the right inventory control policy is the most effective and efficient way to reduce shortage. In inventory control policies, the basic question is to specify the size and the timing of a replenishment order in supply chain members. Over the years, many advanced methods have been applied to answer these questions. Due to the difficulty of dealing with the uncertainties in supply chain environment, simulation optimization (SO) is used in this study to get the application of goals in supply chain. Although SO requires a great deal of understanding related with inventory control system, the use of SO brings such complex system within the grasp of managers. In this paper, SO is used to analyze the supplier selection and inventory control system simultaneously. The system results clearly reveals that the best values of inventory control variables and the most suitable suppliers can be determined by SO in a two echelon supply chain model with backorder.

Kaynakça

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Toplam 1 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Makaleler
Yazarlar

Ayşe Tuğba Dosdoğru Bu kişi benim 0000-0002-1548-5237

Aslı Boru İpek Bu kişi benim

Mustafa Göçken Bu kişi benim

Tolunay Göçken Bu kişi benim

Yayımlanma Tarihi 20 Nisan 2020
Gönderilme Tarihi 5 Aralık 2018
Yayımlandığı Sayı Yıl 2020 Cilt: 29 Sayı: 1

Kaynak Göster

APA Dosdoğru, A. T., Boru İpek, A., Göçken, M., Göçken, T. (2020). SIMULATION OPTIMIZATION APPROACH TO PERIODIC REVIEW INVENTORY CONTROL SYSTEM WITH BACKORDERS. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 29(1), 200-212. https://doi.org/10.35379/cusosbil.718113