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Design of a decision support system to evaluate logistics distribution network in Greater Mekong Subregion Countries

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  • Kengpol, Athakorn

Abstract

The objective of this research is to present an approach to guide Greater Mekong Subregion (GMS) countries in order to minimise the total transportation costs with maximum satisfaction in distributing goods between the distribution centre (DC) and the customer, the so-called logistics distribution network. The decision support system (DSS) model is the combination of a number of models beginning with the analytic hierarchy process (AHP) model to achieve priorities from customers and the DC operator's viewpoint on the alternatives (logistics distribution network), followed by the Mixed Integer Linear Programming (MILP) which integrates priorities from both sides to achieve maximum satisfaction. After that the multi-commodity transportation model is employed to calculate the optimum number of products transported to customers, which yields minimum transportation costs. The recommendations, limitations and further research are also presented.

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  • Kengpol, Athakorn, 2008. "Design of a decision support system to evaluate logistics distribution network in Greater Mekong Subregion Countries," International Journal of Production Economics, Elsevier, vol. 115(2), pages 388-399, October.
    • Handle: RePEc:eee:proeco:v:115:y:2008:i:2:p:388-399
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    References listed on IDEAS

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    Cited by:

    1. Manzini, Riccardo, 2012. "A top-down approach and a decision support system for the design and management of logistic networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1185-1204.
    2. Kengpol, Athakorn & Meethom, Warapoj & Tuominen, Markku, 2012. "The development of a decision support system in multimodal transportation routing within Greater Mekong sub-region countries," International Journal of Production Economics, Elsevier, vol. 140(2), pages 691-701.
    3. Ho, William & Ma, Xin, 2018. "The state-of-the-art integrations and applications of the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 267(2), pages 399-414.
    4. Yang, Zong-Xiao & Zheng, Yan-Yi & Xue, Jin-Xue, 2009. "Development of automatic fault tree synthesis system using decision matrix," International Journal of Production Economics, Elsevier, vol. 121(1), pages 49-56, September.
    5. Ebubekir Karabacak & Hüseyin Ali Kutlu, 2024. "Evaluating the Efficiencies of Logistics Centers with Fuzzy Logic: The Case of Turkey," Sustainability, MDPI, vol. 16(1), pages 1-25, January.

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