Kısa Ömürlü Ürünlerin Tedarik Zincirinin Modellenmesi ve Simülasyon Çalışması

Year 2017, Volume: 6 Issue: 2, 605 - 618, 30.12.2017

İbrahim Doğan Ahmet Tekkeşin Ahmet Kara

https://doi.org/10.17100/nevbiltek.292995

Cited By: 2

Abstract

Bu çalışmada kısa ömürlü ürünlerin stok
yönetimi seri bir tedarik zinciri üzerinde incelenmiştir. Müşteri, perakendeci
ve üreticiden oluşan üç aşamalı tedarik yapısının stok seviyesi ve sipariş
verme noktaları simülasyon yardımıyla modellenmiş ve en uygun parametreler
simülasyon optimizasyonu yaklaşımı ile tespit edilmiştir. Stok yönetimi
simülasyon çalışmalarında merkezi ve merkezi olmayan stok yönetimi incelenmiş,
çıkan sonuçlar karşılaştırmalı tablolarla gösterilmiştir. Çalışmada toplam
tedarik zinciri maliyetinin minimize edilmesi ve müşteri memnuniyet seviyesinin
arttırılması performans ölçütleri olarak göz önüne alınmıştır. 

Keywords

Kısa ömürlü ürünlerde stok yönetimi, Tedarik zinciri yönetimi, Stok yönetimi, Simülasyon

Supply Chain Modelling of Perishable Products and Simulation Study

Abstract

In this study, inventory management of perishable products is studied in
multi-stage supply chain setting. In a three stage supply chain setting which
consists of customer, retailer and manufacturer, perishable inventory
management is modeled and parameters of the model are determined with
simulation optimization approach. A simulation program is used for modeling
inventory management, centralized and decentralized inventory management is
examined, and the results are presented on comparative tables. In study,
minimization of total cost of supply chain and improving customer satisfaction
level are considered as performance measures.

Keywords

Stock management of perishable products, Supply chain management, Stock Management, Simulation

References

• Kaneti, H., Gelişmiş Ülkelerde gerçekleşen gıda israfının açlık ve yoksulluğa etkisi. “http://www.mbmtr.org/uploads/1/7/9/4/17943871/gk7_1_harunkaneti.pdf”, 2014. (Erişim tarihi: Aralık 2016).
• TEKIN, E.; GÜRLER, Ü.; BERK, E.. “Age-based vs. stock level control policies for a perishable inventory system.” European Journal of Operational Research, 2001, 134.2: 309-329.
• GÖRENER, Ali., "Tedarik Zinciri Stratejisi Seçimi: Bulanık VIKOR Yöntemiyle İmalat Sektöründe Bir Uygulama.", Uluslararası Alanya İşletme Fakültesi Dergisi 5.3, 2013.
• PIERSKALLA, William P.; ROACH, Chris D. “Optimal issuing policies for perishable inventory.” Management Science, 1972, 18.11: 603-614.
• KATSALIAKI, Korina. “Cost-effective practices in the blood service sector.” Health Policy, 2008, 86.2: 276-287.
• RYTILÄ, Jyrki S.; SPENS, Karen M. “Using simulation to increase efficiency in blood supply chains.” Management Research News, 2006, 29.12: 801-819.
• KÄRKKÄINEN, Mikko. “Increasing efficiency in the supply chain for short shelf life goods using RFID tagging.” International Journal of Retail & Distribution Management, 2003, 31.10: 529-536.
• Van Zyl, Gideon J. J., “Inventory control for perishable commodities.” North Carolina State University, 1964.
• NAHMIAS, Steven. “Optimal ordering policies for perishable inventory—II.” Operations Research, 1975, 23.4: 735-749.
• FRIES, Brant E. “Optimal ordering policy for a perishable commodity with fixed lifetime.” Operations Research, 1975, 23.1: 46-61.
• NAHMIAS, Steven. “Perishable inventory theory: A review.” Operations Research, 1982, 30.4: 680-708.
• GOYAL, S. K.; GIRI, B. C., “Recent trends in modeling of deteriorating inventory.” European Journal of Operational Research, 2001, 134.1: 1-16.
• KARAESMEN, I. Z.; SCHELLER–WOLF, A.; DENIZ, B., “Managing perishable and aging inventories: review and future research directions.” In: Planning production and inventories in the extended enterprise. Springer US, 2011. p. 393-436.
• BAKKER, M.; RIEZEBOS, J.; TEUNTER, R. H., “Review of inventory systems with deterioration since 2001.” European Journal of Operational Research, 2012, 221.2: 275-284.
• PADMANABHAN, G.; VRAT, P., “EOQ models for perishable items under stock dependent selling rate.” European Journal of Operational Research, 1995, 86.2: 281-292.
• KALPAKAM, S.; SHANTHI, S. “A perishable system with modified base stock policy and random supply quantity.” Computers & Mathematics with Applications, 2000, 39.12: 79-89.
• BROEKMEULEN, R. A.; VAN D., Karel H. “A heuristic to manage perishable inventory with batch ordering, positive lead-times, and time-varying demand.” Computers & Operations Research, 2009, 36.11: 3013-3018.
• GHANDFOROUSH, P.; SEN, T. K. “A DSS to manage platelet production supply chain for regional blood centers.” Decision Support Systems, 2010, 50.1: 32-42.
• CHATFIELD, D. C.; KIM, J. G.; HARRISON, T. P.; HAYYA, J. C., “The bullwhip effect—impact of stochastic lead time, information quality, and information sharing: a simulation study.” Production and Operations Management, 2004, 13.4: 340-353.
• DISNEY, Stephen M.; TOWILL, Denis R. “The effect of vendor managed inventory (VMI) dynamics on the
• LEE, Hau L.; PADMANABHAN, V.; WHANG, S., “The bullwhip effect in supply chains.” Sloan Management Review, 1997, 38.3: 93.
• WU, Y. N.; CHENG, TC Edwin. “The impact of information sharing in a multiple-echelon supply chain.” International Journal of Production Economics, 2008, 115.1: 1-11.
• SARATHI, G. P.; SARMAH, S. P.; JENAMANI, M. “An integrated revenue sharing and quantity discounts contract for coordinating a supply chain dealing with short life-cycle products.” Applied Mathematical Modelling, 2014, 38.15: 4120-4136.
• Merkuryev, Y. A.; Petuhova, J. J.; Van Landeghem, R.; Vansteenkiste, S. (2002, October). “Simulation-based analysis of the bullwhip effect under different information sharing strategies.” In: Proceedings 14th European Simulation Symposium. Germany, Dresden, 2002.
• VIEIRA, Guilherme E., “Ideas for modeling and simulation of supply chains with Arena.” In Simulation Conference, 2004. Proceedings of the 2004 Winter. p. 1418-1427.