A multi-structural framework for adaptive supply chain planning and operations control with structure dynamics considerations

被引:138
作者
Ivanov, Dmitry [1 ]
Sokolov, Boris [2 ]
Kaeschel, Joachim [1 ]
机构
[1] Tech Univ Chemnitz, Dept Econ, D-09126 Chemnitz, Germany
[2] Russian Acad Sci, Inst Automat & Informat, St Petersburg 196140, Russia
基金
俄罗斯基础研究基金会;
关键词
Supply chain management; Adaptive supply chain; Planning; Control; Operations; Multiple structures; Multi-disciplinary modelling; Structure dynamics; Adaptation; SELECTION; LOGISTICS; MODEL; PARTNERS; NETWORKS;
D O I
10.1016/j.ejor.2009.01.002
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
A trend in up-to-date developments in Supply chain management (SCM) is to make supply chains more agile, flexible, and responsive. In supply chains, different structures (functional, organizational, informational, financial, etc.) are (re)formed. These structures interrelate with each other and change in dynamics. The paper introduces a new conceptual framework for multi-structural planning and operations of adaptive Supply chains with structure dynamics considerations, We elaborate a vision of adaptive supply chain management (A-SCM), a new dynamic model and tools for the planning and control of adaptive supply chains. SCM is addressed from perspectives of execution dynamics under uncertainty. Supply chains are modelled in terms of dynamic multi-structural macro-states, based on simultaneous consideration of the management as a function of both states and structures. The research approach is theoretically based on the combined application of control theory, operations research, and agent-based modelling. The findings suggest constructive ways to implement multi-structural supply chain management and to transit from a "one-way" partial optimization to the feedback-based, closed-loop adaptive supply chain optimization and execution management for value chain adaptability, stability and crisis-resistance. The proposed methodology enhances managerial insight into advanced supply chain management. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:409 / 420
页数:12
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