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
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