• ISSN: 2010-0248 (Print)
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIMT
    • Editor-in-Chief: Prof. Jin Wang
    • Managing Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, CNKI, Ulrich's Periodicals Directory,  Crossref, Electronic Journals Library.
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HOME > Archive > 2014 > Volume 5 Number 4 (Aug. 2014) >
IJIMT 2014 Vol.5(4): 232-238 ISSN: 2010-0248
DOI: 10.7763/IJIMT.2014.V5.519

A Decision Support Framework to Assess Grocery Retail Supply Chain Collaboration: A System Dynamics Modelling Approach

Ghada Elkady, Jonathan Moizer, and Shaofeng Liu

Abstract— Supply chain collaboration contributes to improving overall performance through increasing sales, refining forecasts, reducing inventory costs, and improving customer service. In order to be efficient and cost effective, total costs have to be minimized across the entire supply chain. Collaboration efforts run into many practical challenges, both internal and external among small retailers. This paper proposes a framework of retailer supply chain collaboration to identify better understanding of collaboration benefit. A system dynamics simulation modelling approach is used to represent the collaboration effect on the dynamics of this complex system that helps retailer supply chains to obtain maximum benefit of collaborative relationships and reduce the bullwhip effect. This work helps researchers to use supply chain collaboration dynamic modelling to examine how information sharing across a supply chain can result in the identification and prioritization of better order decisions that can be aligned with the retail supply chain’s value proposition for further supply chain integration.

Index Terms— Supply chain collaboration, retailer supply chains, system dynamics modelling, ordering policy and decisions.

Ghada Elkady is with the Plymouth University, UK (e-mail: ghada.elkady@plymouth.ac.uk).

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Cite: Ghada Elkady, Jonathan Moizer, and Shaofeng Liu, " A Decision Support Framework to Assess Grocery Retail Supply Chain Collaboration: A System Dynamics Modelling Approach," International Journal of Innovation, Management and Technology vol. 5, no. 4, pp. 232-238, 2014.

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