Evolutionary approaches for supply chain *** II:multi-silo supply chains

作     者：Maksud Ibrahimov Arvind Mohais Sven Schellenberg Zbigniew Michalewicz 

作者机构：Department of Computer ScienceUniversity of AdelaideAdelaideAustralia SolveIT SoftwareAdelaideAustralia 

出 版 物：《International Journal of Intelligent Computing and Cybernetics》 (智能计算与控制论国际期刊（英文）)

年 卷 期：2012年第5卷第4期

页      面：473-499页

核心收录：

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

基　　金：funded by the ARC Discovery Grant DP0985723 and by Grant N516384734 the Polish Ministry of Science and Higher Education(MNiSW) 

主　　题：Genetic algorithms Cooperative coevolution Coordinated supply chain Time-varying constraints Time-varying control systems supply chain management 

摘      要：Purpose–The purpose of this paper and its companion(Part I:single and two-component supply chains)is to investigate methods to tackle complexities,constraints(including time-varying constraints)and other *** this part,attention is devoted to multi-silo supply chain and the relationships between the *** first part of the paper aims to consider two types of experimental supply chains:with one-to-many and many-to-one *** second half of the paper aims to present two approaches on optimising the material flow in the real-world supply chain ***/methodology/approach–Cooperative coevolutionary and classical sequential approaches are taken to address the experimental multi-silo supply *** to the nature and the complexity of the supply chain presented in the second half of the paper,evolutionary algorithm was not sufficient to tackle the problem.A fuzzy-evolutionary algorithm is proposed to address the ***–The proposed systems produce solutions better than solutions proposed by human experts and in much shorter ***/value–The paper discusses various algorithms to provide the decision support for the real-world *** system proposed for the real-world supply chain is in the process of integration to the production environment.