TY  - JOUR
TT  - Supply Chain Modelling of Perishable Products and Simulation Study
AU  - Doğan, İbrahim
AU  - Tekkeşin, Ahmet
AU  - Kara, Ahmet
PY  - 2017
DA  - December
Y2  - 2017
DO  - 10.17100/nevbiltek.292995
JF  - Nevşehir Bilim ve Teknoloji Dergisi
PB  - Nevşehir Hacı Bektaş Veli Üniversitesi
WT  - DergiPark
SN  - 2148-466X
SP  - 605
EP  - 618
VL  - 6
IS  - 2
KW  - Kısa ömürlü ürünlerde stok yönetimi
KW  - Tedarik zinciri yönetimi
KW  - Stok yönetimi
KW  - Simülasyon
N2  - In this study, inventory management of perishable products is studied inmulti-stage supply chain setting. In a three stage supply chain setting whichconsists of customer, retailer and manufacturer, perishable inventorymanagement is modeled and parameters of the model are determined withsimulation optimization approach. A simulation program is used for modelinginventory management, centralized and decentralized inventory management isexamined, and the results are presented on comparative tables. In study,minimization of total cost of supply chain and improving customer satisfactionlevel are considered as performance measures.
CR  - 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).
CR  - 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.
CR  - GÖRENER, Ali., "Tedarik Zinciri Stratejisi Seçimi: Bulanık VIKOR Yöntemiyle İmalat Sektöründe Bir Uygulama.", Uluslararası Alanya İşletme Fakültesi Dergisi 5.3, 2013.
CR  - PIERSKALLA, William P.; ROACH, Chris D. “Optimal issuing policies for perishable inventory.” Management Science, 1972, 18.11: 603-614.
CR  - KATSALIAKI, Korina. “Cost-effective practices in the blood service sector.” Health Policy, 2008, 86.2: 276-287.
CR  - RYTILÄ, Jyrki S.; SPENS, Karen M. “Using simulation to increase efficiency in blood supply chains.” Management Research News, 2006, 29.12: 801-819.
CR  - 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.
CR  - Van Zyl, Gideon J. J., “Inventory control for perishable commodities.” North Carolina State University, 1964.
CR  - NAHMIAS, Steven. “Optimal ordering policies for perishable inventory—II.” Operations Research, 1975, 23.4: 735-749.
CR  - FRIES, Brant E. “Optimal ordering policy for a perishable commodity with fixed lifetime.” Operations Research, 1975, 23.1: 46-61.
CR  - NAHMIAS, Steven. “Perishable inventory theory: A review.” Operations Research, 1982, 30.4: 680-708.
CR  - GOYAL, S. K.; GIRI, B. C., “Recent trends in modeling of deteriorating inventory.” European Journal of Operational Research, 2001, 134.1: 1-16.
CR  - 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.
CR  - 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.
CR  - PADMANABHAN, G.; VRAT, P., “EOQ models for perishable items under stock dependent selling rate.” European Journal of Operational Research, 1995, 86.2: 281-292.
CR  - 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.
CR  - 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.
CR  - 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.
CR  - 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.
CR  - DISNEY, Stephen M.; TOWILL, Denis R. “The effect of vendor managed inventory (VMI) dynamics on the
CR  - LEE, Hau L.; PADMANABHAN, V.; WHANG, S., “The bullwhip effect in supply chains.” Sloan Management Review, 1997, 38.3: 93.
CR  - 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.
CR  - 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.
CR  - 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.
CR  - 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.
UR  - https://doi.org/10.17100/nevbiltek.292995
L1  - https://dergipark.org.tr/tr/download/article-file/395923
ER  -