Design and optimization of integrated e-supply chain for agile and environmentally conscious manufacturing

Mariagrazia Dotoli, Maria Pia Fanti, Carlo Meloni, Meng Chu Zhou

Research output: Contribution to journalArticlepeer-review

97 Scopus citations

Abstract

An agile and environmentally conscious manufacturing paradigm refers to the ability to reconfigure a flexible system quickly, economically, and environmentally responsibly. In modern manufacturing enterprises, e-supply chains integrate Internet and web-based electronic market and are promising systems to achieve agility. A key issue in the strategic logistic planning of integrated e-supply chains (IESCs) is the configuration of the partner network. This paper proposes a single- and multiobjective optimization model to configure the network of IESCs. Considering an Internet-based distributed manufacturing system composed of different stages connected by material and information links, a procedure is presented to select the appropriate links. A set of performance indices is associated with the network links. Single-criterion and multicriteria optimization models are presented under structural constraint definitions. The integer linear programming (ILP) problem solution provides different network structures that allow to improve supply chain (SC) flexibility, agility, and environmental performance in the design process. The proposed optimization strategy is applied to two case studies describing two networks for desktop computer production.

Original languageEnglish (US)
Pages (from-to)62-75
Number of pages14
JournalIEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
Volume36
Issue number1
DOIs
StatePublished - Jan 2006

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

Keywords

  • Agile manufacturing
  • Computer integrated manufacturing
  • Integer linear programming
  • Optimization method
  • Supply chain
  • System analysis and design

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