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

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.

[1]  Martin Grieger Electronic marketplaces: A literature review and a call for supply chain management research , 2003, Eur. J. Oper. Res..

[2]  MengChu Zhou,et al.  Petri Nets in Flexible and Agile Automation , 1995 .

[3]  G. Graham,et al.  Supply‐chain management across the Internet , 2000 .

[4]  MengChu Zhou,et al.  Introduction to Petri Nets in Flexible and Agile Automation , 1995 .

[5]  Hong Yan,et al.  A strategic model for supply chain design with logical constraints: formulation and solution , 2003, Comput. Oper. Res..

[6]  Paul Timmers,et al.  Business Models for Electronic Markets , 1998, Electron. Mark..

[7]  MengChu Zhou,et al.  Intelligent decision making in disassembly process based on fuzzy reasoning Petri nets , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[8]  J. Current,et al.  A MULTIOBJECTIVE APPROACH TO VENDOR SELECTION , 1993 .

[9]  Nukala Viswanadham,et al.  Performance analysis and design of supply chains: a Petri net approach , 2000, J. Oper. Res. Soc..

[10]  Ren C. Luo,et al.  Desktop rapid prototyping system with supervisory control and monitoring through Internet , 2001 .

[11]  Robert J. Graves,et al.  Estimating tools to support multipath agility in electronics manufacturing , 1996 .

[12]  Jinwoo Park,et al.  A combined model of network design and production/distribution planning for a supply network , 2002 .

[13]  P. Venkataraman,et al.  Applied Optimization with MATLAB Programming , 2001 .

[14]  Benita M. Beamon,et al.  Measuring supply chain performance , 1999 .

[15]  Michael J. Magazine,et al.  Quantitative Models for Supply Chain Management , 1998 .

[16]  Nukala Viswanadham,et al.  Partner selection and synchronized planning in dynamic manufacturing networks , 2003, IEEE Trans. Robotics Autom..

[17]  MengChu Zhou,et al.  An integrated e-supply chain model for agile and environmentally conscious manufacturing , 2001 .

[18]  M. Dotoli,et al.  A multi-level approach for network design of integrated supply chains , 2005 .

[19]  R. C. Baker,et al.  A multi-phase mathematical programming approach for effective supply chain design , 2002, Eur. J. Oper. Res..

[20]  MengChu Zhou,et al.  A decision support system for the supply chain configuration , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[21]  Vicky Manthou,et al.  Virtual e-Chain (VeC) model for supply chain collaboration , 2004 .

[22]  Robert J. Graves,et al.  Estimating tools to support multi-path agility in electronics manufacturing , 1995, Seventeenth IEEE/CPMT International Electronics Manufacturing Technology Symposium. 'Manufacturing Technologies - Present and Future'.

[23]  Frederick S. Hillier,et al.  Introduction of Operations Research , 1967 .

[24]  R. Gaonkar,et al.  Collaboration and information sharing in global contract manufacturing networks , 2001 .

[25]  MengChu Zhou,et al.  Design and implementation of an adaptive process planner for disassembly processes , 2000, IEEE Trans. Robotics Autom..

[26]  Matthias Ehrgott,et al.  Multicriteria Optimization , 2005 .

[27]  Nukala Viswanadham,et al.  Strategic sourcing and collaborative planning in Internet-enabled supply chain networks producing multigeneration products , 2005, IEEE Transactions on Automation Science and Engineering.

[28]  G. Nemhauser,et al.  Integer Programming , 2020 .

[29]  Marc Goetschalckx,et al.  Strategic production-distribution models: A critical review with emphasis on global supply chain models , 1997 .

[30]  Naiqi Wu,et al.  An approach to partner selection in agile manufacturing , 1999, J. Intell. Manuf..

[31]  MengChu Zhou,et al.  A methodology for modeling and adaptive planning of disassembly processes , 1999, IEEE Trans. Robotics Autom..

[32]  M. Naim,et al.  Assessing the impact of e-business on supply chain dynamics , 2004 .

[33]  Ronald H. Ballou,et al.  Unresolved Issues in Supply Chain Network Design , 2001, Inf. Syst. Frontiers.