Abstract
This paper describes modeling and simulation of a centralized supply chain distribution system for a single product in uncertain demand. A supply chain distribution system cost optimization model is developed in this concern, which includes multiple manufacturers, multiple distribution centers and multiple retailers. To provide a more realistic model structure, decision makers’ thinks that the distribution centers and retailers appears out of stock at the same time. With the MatLab 2010(a) carrying on the model, analyzing the influence which the order proportions and transportation cost in distribution centers and retailers to the supply chain distribution system total cost. As a result, on the one hand, when the order proportion is in the middle, the total cost is in the lowest level in supply chain distribution system. On the other hand, the order proportion is up and down, the total cost is no obvious change in supply chain distribution system. On the contrary, when the transportation cost usually is in the middle, the total cost is the lowest level in supply chain distribution system.
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References
Banerjee A (1986) A joint economic-lot-size model for purchase and vendor [J]. Decis Sci 17:292–311
Chang Liangfeng, Huang Xiaoyuan, Lu Zhen (2004) Two-stage stackelberg master–slave countermeasures of supply chain optimization model and its application [J]. Autom Technol 18(1):12–16
Goyal SK, Gupta YP (1989) Integrated inventory models: the buyer-vendor coordination [J]. Eur J Oper Res 41:261–269
Gu Weitao, Xu Guohua (2005) Multi-stage supply chain under stochastic demand inventory problem research [J]. Autom Technol 194(3):24–28
Kim KH, Hwang H (1988) An incremental discount pricing schedule with multiple customers and single price break [J]. Eur J Oper Res 35:71–79
Lal R, Staelin R (1984) An approach for developing an optimal discount pricing policy [J]. Manag Sci 30:1524–1539
Lee HL, Rosenblatt MJ (1986) A generalized quantity discount pricing model to increase supplier’s profits [J]. Manag Sci 32:1177–1185
Monahan JP (1984) A quantity discount pricing model to increase vendor profits [J]. Manag Sci 30:720–726
Rosenblatt MJ, Lee HL (1985) Improving profitability with quantity discounts under fixed-demand [J]. IIE Trans 17:388–395
Tyworth JE, Zeng AZ (1997) Estimating the effects of carrier transit-time performance on logistics cost and service [J]. Transp Res A 32(2):89–97
Viswanathan S (1998) Optimal strategy for the integrated vendor-buyer inventory mode [J]. Eur J Oper Res 105:38–42
Wan Jie, Zhao Cong, Han Jian feng (2010) Inventory strategy of supply chain system cost simulation based on the (R, Q) [J]. J Hebei Univ Technol 39(2):79–83
Wang Lei, Zhao Xiao bo (2008) Site selection under stochastic demand-inventory problem [J]. Oper Res Manag Sci 17(3):2–6
White LJ (1971) The automobile industry since 1945 [M]. Harvard University Press, Cambridge, MA
Woo YY, Hsu SL, Wu S (2001) An integrated inventory model for a single vendor and multiple buyers with ordering cost reduction [J]. Int J Prod Econ 73:203–215
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Innovation Program for Graduate Student in Guangxi Foundation Item: 2012105941202M02
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Liao, Zg., Yuan, Xg., Zhang, Xq. (2013). Modeling and Simulation of a Centralized Supply Chain Distribution System for a Single Product in Uncertain Demand. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of 20th International Conference on Industrial Engineering and Engineering Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40072-8_20
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DOI: https://doi.org/10.1007/978-3-642-40072-8_20
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