A novel research methodology for supply network collaboration management

被引:10
|
作者
Long, Qingqi [1 ]
机构
[1] Zhejiang Univ Finance & Econ, Sch Informat, Hangzhou 310018, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Simulation; Multi-agent systems; Three-dimensional flow model; SCOR model; Supply network collaboration; DECISION-MAKING; TRANSPORTATION MANAGEMENT; DISTRIBUTED SIMULATION; CHAIN PERFORMANCE; GENETIC ALGORITHM; OPTIMIZATION; INVENTORY; DEMAND; MODEL; INTEGRATION;
D O I
10.1016/j.ins.2015.10.035
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A supply chain has a multi-stage complex topological structure that is reconfigured dynamically and evolves over time. These features represent great challenges to supply network collaboration management. This paper proposes a novel research methodology for supply network collaboration research, including a methodological basis, a procedure model, and a conceptual decision-making model. The methodology integrates a three-dimensional flow model with a SCOR (Supply chain operations reference model)-based process modeling approach, a multi-agent system, distributed simulation technology and a three-dimensional decision-making model to support supply network analysis, modeling, standardization, development, implementation and decision making. This method creatively uses material, information and time flows as the research objects, combines process-oriented and agent-oriented modeling approaches and integrates multiple models, approaches and technologies to reduce research assumptions and constraints while improving the quality of research findings. The case for a five-stage make-to-order (MTO) supply network is studied for the application of the methodology and to verify its effectiveness. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:67 / 85
页数:19
相关论文
共 50 条
  • [41] Collaboration network of knowledge creation and dissemination on Management research: ranking the leading institutions
    Guillermo Armando Ronda-Pupo
    Luis Ángel Guerras-Martín
    Scientometrics, 2016, 107 : 917 - 939
  • [42] Mapping the institutional collaboration network of strategic management research: 1980-2014
    Koseoglu, Mehmet Ali
    SCIENTOMETRICS, 2016, 109 (01) : 203 - 226
  • [43] Optimization of forecasting supply chain management sustainable collaboration using hybrid artificial neural network
    Lim, S
    Hahn, J
    ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS, 2005, 3498 : 1052 - 1057
  • [44] Research on the Teaching Reform of Supply Chain Management Course in Network Environment
    Jin, Yuran
    Chu, Yuping
    Dong, Jianwei
    ADVANCES IN COMPUTER SCIENCE, ENVIRONMENT, ECOINFORMATICS, AND EDUCATION, PT 5, 2011, 218 : 227 - 232
  • [45] A reviewer's guide to the grounded theory methodology in logistics and supply chain management research
    Manuj, Ila
    Pohlen, Terrance L.
    INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT, 2012, 42 (8-9) : 784 - 803
  • [46] Research collaboration in health management research communities
    Zhang, Chichen
    Yu, Qi
    Fan, Qinghua
    Duan, Zhiguang
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2013, 13
  • [47] Research collaboration in health management research communities
    Chichen Zhang
    Qi Yu
    Qinghua Fan
    Zhiguang Duan
    BMC Medical Informatics and Decision Making, 13
  • [48] Network proximity in the geography of research collaboration
    Berge, Laurent R.
    PAPERS IN REGIONAL SCIENCE, 2017, 96 (04) : 785 - +
  • [49] The Ibero-American Network of Tourism Research : A Methodology of Analysis of Collaboration Through Co-authorships
    David-Negre, Tatiana
    Hernandez, Juan M.
    Picazo-Peral, Patricia
    Moreno-Gil, Sergio
    TOURISM, 2025, 73 (01): : 55 - 68
  • [50] System for supply network management
    Masuchun W.
    Davis S.
    Rangsaritratsamee R.
    Information Technology and Management, 2006, 7 (4) : 315 - 333