Modularity, Lead time and Return Policy for Supply Chain in Mass Customization System

被引:6
作者
Li, Jizi [1 ]
Liu, Chunling [1 ]
Xiao, Weichun [1 ]
机构
[1] Wuhan Textile Univ, CSC Networks Syst Res Ctr, Wuhan 430073, Hubei Province, Peoples R China
基金
美国国家科学基金会;
关键词
Mass customization; supply chain; return policy; modularity; lead time; PRODUCT; OPTIMIZATION; DESIGN; ENVIRONMENTS; COMPETITION; MODEL;
D O I
10.1080/18756891.2016.1256575
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Mass Customization (MC) is a flexible manufacturing system with features of Mass Production (MP) and Customization Production (CP). However, there is few researches about competition & cooperation between the upstream MP firm (module manufacturer) and downstream CP firm (assembler) under MC supply chain scenario. From supply chain perspective, this paper first develops the base models considering the influences of return policy, modularity level, production lead time and pricing factors. Furthermore, according to the different decision-making situations, three kinds of MC supply chain models in competitive or cooperative environment (i.e. simultaneous-move game, sequential-move game and the cooperative game) have been built, then, the optimal solution of each model have been analyzed and compared, and coordination mechanism is design to cooperate in MC supply chain via profit-sharing with Nash bargaining power. Finally, through the numerical analysis, we find the highest profit is from the cooperative setting, then followed by in simultaneous-move and sequential-move one, the reason is that the lowest product price and the largest market demand easily occurs in the cooperative game compared with the others, the upstream module manufacturer takes advantage of MP to increase the modularity level and decrease manufacturing cost for the whole supply chain, the downstream assembler task is to shorten the lead time according to customer's needs, while the wholesale price in cooperative game higher than simultaneous-move game and sequential-move game can ensure each firm's benefits, effectively prevent from the effect of double marginalization and obtain Pareto optimality.
引用
收藏
页码:1133 / 1153
页数:21
相关论文
共 50 条
  • [31] Dynamic game decision about supply chain resource integration in mass customization
    Yao, Jianming
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2015, 28 (05) : 2083 - 2093
  • [32] A profit maximization for a reverse logistics dual-channel supply chain with a return policy
    Batarti, Raaid
    Jaber, Mohamad Y.
    Aijazzar, Salem M.
    COMPUTERS & INDUSTRIAL ENGINEERING, 2017, 106 : 58 - 82
  • [33] Dynamic supply chain integration optimization in service mass customization
    Liu, Chang
    Yao, Jianming
    COMPUTERS & INDUSTRIAL ENGINEERING, 2018, 120 : 42 - 52
  • [34] Study on supply chain management for product family in mass customization
    Wang, Zhihong
    Ning, Fanghua
    2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, 2007, : 1515 - +
  • [35] RETRACTED ARTICLE: Supply chain optimization based on chain management and mass customization
    Maozhu Jin
    Hua Wang
    Qian Zhang
    Yucheng Zeng
    Information Systems and e-Business Management, 2020, 18 : 647 - 664
  • [36] Return Strategies and Online Product Customization in a Dual-Channel Supply Chain
    Zhang, Rong
    Li, Jiatong
    Huang, Zongsheng
    Liu, Bin
    SUSTAINABILITY, 2019, 11 (12):
  • [37] Decision of Lead-Time Compression and Stable Operation of Supply Chain
    Zhang, Songtao
    Li, Shuangshuang
    Zhang, Siqi
    Zhang, Min
    COMPLEXITY, 2017,
  • [38] A scheduling model of logistics service supply chain based on the mass customization service and uncertainty of FLSP's operation time
    Liu, Weihua
    Wang, Qian
    Mao, Qiaomei
    Wang, Shuqing
    Zhu, Donglei
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2015, 83 : 189 - 215
  • [39] Optimal pricing, return and modular design policy for build-to-order (BTO) products in a two parties supply chain system
    Konstantaras, I.
    Skouri, K.
    Papachristos, S.
    IMA JOURNAL OF MANAGEMENT MATHEMATICS, 2011, 22 (01) : 1 - 12
  • [40] Impacts of forecast, inventory policy, and lead time on supply chain inventory-A numerical study
    Liao, T. Warren
    Chang, P. C.
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2010, 128 (02) : 527 - 537