Title: Modelling the relationship between local logistics management decisions and overall supply chain performance: a research agenda
Authors: James Stone, Doug Love
Addresses: Industrial Management and Design Research Group, Aston University, School of Engineering and Applied Science, Aston Triangle, Birmingham, B4 7ET, UK. ' Technology and Operations Management Research Group, Aston University, Aston Business School, Aston Triangle, Birmingham, B4 7ET, UK
Abstract: Supply chains are advocated widely as being the new units for commercial competition and developments have made the sharing of supply chain wide information increasingly common. Most organisations however still make operational decisions intended to maximise local organisational performance. With improved information sharing a holistic focus for operational decisions should now be possible. The development of a pan supply chain performance framework requires an examination of the conditions under which holistic decisions provide benefits to either the individual enterprise or the complete supply chain. This paper presents the background and supporting methodology for a study of the impact of an overall supply chain performance metric framework upon local logistics decisions and the conditions under which such a framework would improve overall supply chain performance. The methodology concludes a simulation approach using a functionally extended Gensym|s e-SCOR model, together with case based triangulation, to be optimum.
Keywords: supply chain performance; performance measurement; supply chain management; SCM; supply chain simulation; logistics management; modelling; information sharing; decision making.
DOI: 10.1504/IJBPM.2007.011865
International Journal of Business Performance Management, 2007 Vol.9 No.2, pp.240 - 252
Published online: 28 Dec 2006 *
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