Revisiting information systems to support a dynamic supply chain: issues and perspectives

This article is aimed at providing a broad review of the main approaches to information related issues in a dynamic supply chain, through the description of the main characteristics, techniques, ongoing developments and research activities. The literature is examined from the perspective of the existing information systems that support supply chain dynamics at operational and strategic levels, with its inherent focus on web-enabled collaboration among supply chain partners. Various issues related to integration of core processes across organisational boundaries through improved communication, partnerships, alliances and cooperation in vague and uncertain conditions are also addressed. We review the recent trends in supply chain management and analyse how diverse modelling techniques such as agent technology and Petri net can be applied to support dynamic supply chain configuration. The purpose of this article is to consolidate the existing research efforts concerning the issues related to information systems in dynamic supply chains, and to identify promising emerging issues for further study in this area.

[1]  Vipul Jain,et al.  A new approach to model goal and plan conflicts in a dynamic supply chain , 2007, 2007 IEEE International Conference on Service Operations and Logistics, and Informatics.

[2]  Srini Ramaswamy,et al.  Conflict detection during plan integration for multi-agent systems , 2001, IEEE Trans. Syst. Man Cybern. Part B.

[3]  Sanjay Jain,et al.  Evaluation of supply chain business process improvements using simulation , 2005, Int. J. Simul. Process. Model..

[4]  G. N. Evans,et al.  Business process re-engineering the supply chain , 1995 .

[5]  James R. Wilson,et al.  Simulation Modeling of the Textile Supply Chain. Part I: The Textile-plant Models , 2000 .

[6]  Abdelhakim Artiba,et al.  Simulation-based performance measurement and analysis: an industrial application , 2005, Int. J. Comput. Integr. Manuf..

[7]  Vipul Jain.  Hybrid approaches to model supplier related issues in a dynamic supply chain , 2006 .

[8]  Sanjay Jain,et al.  A conceptual framework for supply chain modelling and simulation , 2006, Int. J. Simul. Process. Model..

[9]  Cemalettin Kubat,et al.  Modelling and simulation of MRP II activities in multi agent systems , 2007 .

[10]  Charles J. Miller,et al.  Analysis of the virtual enterprise using distributed supply chain modeling and simulation: an application of e-SCOR , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).

[11]  Albert T. Jones,et al.  A hybrid simulation approach to planning in a VMI supply chain , 2006, Int. J. Simul. Process. Model..

[12]  S. G. Deshmukh,et al.  Modelling and analysis of supply chain dynamics: a High Intelligent Time (HIT) petri net based approach , 2006 .

[13]  Jussi Heikkilä,et al.  Measuring product structures to improve demand-supply chain efficiency , 2002, Int. J. Technol. Manag..

[14]  Robert B. Johnston,et al.  An Emerging Vision of Internet-Enabled Supply-Chain Electronic Commerce , 2000, Int. J. Electron. Commer..

[15]  S. G. Deshmukh,et al.  Supplier selection using fuzzy association rules mining approach , 2007 .

[16]  Leon F. McGinnis,et al.  Distributed Supply Chain Simulation as a Decision Support Tool for the Semiconductor Industry , 2003, Simul..

[17]  Sergio Cavalieri,et al.  Multi-agent systems in production planning and control: an overview , 2004 .

[18]  Falko Bause,et al.  Modellierung und Analyse von Supply Chains , 2001, Wirtschaftsinf..

[19]  S. G. Deshmukh,et al.  A Negotiation-to-Coordinate (N2C) Mechanism for Modeling Buyer-Supplier Relationship in Dynamic Environment , 2007, Int. J. Enterp. Inf. Syst..

[20]  Manoj Kumar Tiwari,et al.  Modelling and analysis of wafer fabrication scheduling via generalized stochastic Petri net and simulated annealing , 2003 .

[21]  Markus Ettl,et al.  Experience using the IBM Supply Chain Simulator , 1998, 1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274).

[22]  David J. Parsons,et al.  SDI Supply Chain Builder: simulation from atoms to the enterprise , 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

[23]  Jia-Chi Tsou,et al.  The ontology of a supply chain model based on IDEF5 and Ontolingua , 2008 .

[24]  Gong Wang,et al.  A study on multi-agent supply chain framework based on network economy , 2008, Comput. Ind. Eng..

[25]  Daniel W. Schunk,et al.  Using simulation to analyze supply chains , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).

[26]  Saku Hieta.  Supply chain simulation with LOGSIM-simulator , 1998, 1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274).

[27]  Randall P. Sadowski,et al.  Simulation with Arena , 1998 .

[28]  Ricki G. Ingalls,et al.  CSCAT: the Compaq Supply Chain Analysis Tool , 1999, WSC '99.

[29]  S. G. Deshmukh,et al.  e-Commerce and supply chains: Modelling of dynamics through fuzzy enhanced high level petri net , 2005 .

[30]  Robert de Souza,et al.  Supply chain dynamics and optimization , 2000 .