Computer Science ›› 2018, Vol. 45 ›› Issue (4): 260-265.doi: 10.11896/j.issn.1002-137X.2018.04.044

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Study on Collaborative Optimization of Supply Chain with Uncertain Demand and Capacity Constraint

TONG Ze-ping, LI Tao, LI Li-jie and REN Liang   

  • Online:2018-04-15 Published:2018-05-11

Abstract: The uncertainty demand of supply chain market and the capacity constraint of suppliers have a great impact on the path of optimization in supply chain.Most of the existing literatures do not analyze the behavior choosing mechanization and collaborative optimization in supply chain with both uncertain demand and capacity-constrained suppliers.Thus,this paper established a multi-suppliers-one-retailer supply chain to analyze the efficient way to achieve the collabo-rative optimization by using the non-cooperative game theory.The results are helpful for the stakeholders of supply chain in making decisions.

Key words: Supply chain optimization,Uncertain demand,Capacity constrained,Collaborative optimization

[1] YAN J,DING X P,LIU Y R.Research on collaborative optimization of supply chain inventory based on immune genetic algorithm [J].Computer Science,2016,43(11A):59-62.(in Chinese) 闫军,丁鑫培,刘永瑞.基于免疫遗传算法的供应链库存协同优化研究[J].计算机科学,2016,3(11A):59-62.
[2] WHANG S.Coordination in operations:A taxonomy [J].Journal of Operations Management,1995,2(3/4):413-422.
[3] DAVOOD M,SEYED H G,ASHKAN H.A game theoreticanalysis in capacity-constrained supplier-selection and cooperation by considering the total supply chain inventory costs [J].International Journal of Production Economics,2016,181(S1):87-97.
[4] GOVINDAN K,POPIUC M N.Reverse supply chain coordination by revenue sharing contract:A case for the personal computers industry [J].European Journal of Operational Research,2014,3(2):326-336.
[5] PALSULE-DESAI O D.Supply chain coordination using revenue-dependent revenue sharing contracts [J].Omega,2013,41(4):780-796.
[6] LENG M M,PARLARB M.Game-theoretic analyses of decentralized assembly supply chains:Non-cooperative equilibria vs.coordination with cost-sharing contracts [J].European Journal of Operational Research,2010,204(1):96-104.
[7] ZHANG J X,LIU G W,ZHANG Q,et al.Coordinating a supply chain for deteriorating items with a revenue sharing and coope-rative investment contract [J].Omega,2015,56:37-49.
[8] HUANG Y,HUANG G Q,NEWMAN S T.Coordinating pricing and inventory decisions in a multi-level supply chain:A game-theoretic approach [J].Transportation Research Part E:Logistics and Transportation Review,2011,47(2):115-129.
[9] TULIKA C,SATYAVEER S C,NAVNEET V.Coordinationand competition in a common retailer channel:Wholesale price versus revenue-sharing mechanisms [J].International Journal of Production Economics,2015,166(8):103-118.
[10] JIA J X,HU Q Y.Dynamic ordering and pricing for a perishable goods supply chain [J].Computers & Industrial Engineering,2011,60(2):302-309.
[11] KHELJANI J G,GHODSYPOUR S H,O’BRIEN C.Optimi-zing whole supply chain benefit versus buyer’s benefit through supplier selection [J].International Journal of Production Economics,2009,1(2):482-493.
[12] PETRUZZINC,DADA M.Pricing and the newsvendor problem:a review with extensions [J].Operational Research,1999,47(2):183-194.
[13] CAI X,CHEN J,XIAO Y,et al.Optimization and coordination of fresh product supply chains with freshness-keeping effort [J].Production & Operations Management,2010,19(3):261-278.
[14] CHAUHAN S S.The concave cost supply problem[J].Euro-pean Journal of Operational Research,2003,148(2):374-383.
[15] ZHOU K Q,YU D Q,LI C M,et al.Design and Implementation of RFID-based Logistics Information Platform for Automobile Supply China[J].Journal of Chongqing University of Technology(Nature Science),2014,8(1):80-86.(in Chinese) 周康渠,喻代权,李传明,等.应用射频识别的汽车制造供应链物流信息协同平台设计及实现[J].重庆理工大学学报(自然科学),2014,28(1):80-86.

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