Food Cold Chain Equilibrium Based on Collaborative Replenishment

被引:7
|
作者
Lan, H. J. [1 ]
Zhao, L. [1 ]
Su, L. [1 ]
Liu, Z. G. [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Econ & Management, Lab Logist Management & Technol, Beijing, Peoples R China
关键词
Food cold chain; game; equilibrium; collaborative replenishment; fixed point Method; PRODUCTS; DYNAMICS; POLICY; MODEL;
D O I
10.1016/S1665-6423(14)72336-3
中图分类号
学科分类号
摘要
This article analyzes the food cold chain (FCC) equilibrium based on collaborative replenishment policy. The entirety of collaborative replenishment (ECR) includes one supplier, one retailer and one consumer. The two players join in the non-cooperative game. Both of them pursue their own ideal benefits and achieve the equilibrium in terms of food quantity and price. A new iterative algorithm based on the theory of fixed point is designed to improve the equilibrium model. A numeric example was set to identify the applicability of the model. The parameter sensitivity analysis shows that the overall profit of ECR will increase with consumers' demand, while the customer satisfaction will decrease to some extent when the food deterioration rate and shortage cost increase, the overall profit of ECR will decrease. We find that the former leads to decreasing of the customer satisfactory and the latter do the opposite. Appropriate strategies should be chosen based on the actual situation for each equilibrium subject.
引用
收藏
页码:201 / 211
页数:11
相关论文
共 50 条
  • [1] Classification and Application on Food Cold Chain Collaborative Distribution Models
    Lan, Hongjie
    Xue, Hailin
    Tian, Yongbin
    PROCEEDINGS OF 2ND CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCE (LISS 2012), VOLS 1 AND 2, 2013,
  • [2] Decision-making on food cold chain collaborative distribution models
    Lan, Hongjie
    Xue, Hailin
    Advances in Information Sciences and Service Sciences, 2012, 4 (23): : 660 - 666
  • [3] Collaborative replenishment policies based on CPFR
    Ji, Shou-Feng
    Cao, Chu
    Huang, Xiao-Yuan
    Dongbei Daxue Xuebao/Journal of Northeastern University, 2007, 28 (07): : 1049 - 1052
  • [4] Cold chain and food
    Blancher, G
    BULLETIN DE L ACADEMIE NATIONALE DE MEDECINE, 2001, 185 (06): : 1173 - 1174
  • [5] Interorganizational collaborative forecasting and replenishment systems and supply chain implications
    Raghunathan, S
    DECISION SCIENCES, 1999, 30 (04) : 1053 - 1071
  • [6] Equilibrium replenishment in a supply chain with a single distributor and multiple retailers
    Kogan, Konstantin
    Perlman, Yael
    Hovav, Sharon
    IMA JOURNAL OF MANAGEMENT MATHEMATICS, 2009, 20 (04) : 395 - 409
  • [7] Fresh Food Distribution Model Based on Cold Chain
    Guo Rui
    Lan Hong-jie
    EBM 2010: INTERNATIONAL CONFERENCE ON ENGINEERING AND BUSINESS MANAGEMENT, VOLS 1-8, 2010, : 2594 - 2597
  • [8] Blockchain Based Salmon Cold Chain Multi-chain Collaborative Supervision Model
    Sun C.
    Yang X.
    Luo N.
    Chen F.
    Xu D.
    Xing B.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2024, 55 (01): : 360 - 370
  • [9] Collaborative planning, forecasting and replenishment: Demand planning in supply chain management
    Min, H
    Yu, WB
    SHAPING BUSINESS STRATEGY IN A NETWORKED WORLD, VOLS 1 AND 2, PROCEEDINGS, 2004, : 58 - 62
  • [10] Enhancing supply chain performance through collaborative planning, forecasting, and replenishment
    Singhry, Hassan Barau
    Abd Rahman, Azmawani
    BUSINESS PROCESS MANAGEMENT JOURNAL, 2019, 25 (04) : 625 - 646