Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/329705 
Year of Publication: 
2022
Citation: 
[Journal:] Asian Journal of Shipping and Logistics (AJSL) [ISSN:] 2352-4871 [Volume:] 38 [Issue:] 4 [Year:] 2022 [Pages:] 245-262
Publisher: 
Elsevier, Amsterdam
Abstract: 
This research aimed to design a transportation model for the international trade of agricultural products between Thailand, Laos, and Cambodia, known as the Great Mekong Subregion (GMS). Agricultural products are transported from a farmers' cooperative to a foreign end market. The mathematical models GA, DE, and VaNSAS were developed to determine the optimal mode of transportation. The objectives of the proposed methods are to (1) maximize the total profit for the entire agricultural chain and (2) minimize the makespan or the arrival time of the containers to the end market in order to maintain the freshness of the agricultural product. The computational result shows that VaNSAS produces a 100 % optimal solution for small-size problem instances, while DE and GA produce a 63.63 % and 72.72 % optimal solution, respectively. For large-size problem instances, VaNSAS shows a profit that is higher than that of DE and GA by 10.53 % and 8.96 %, respectively, while it shows a makespan that is lower by 9.57 % and 7.20 %, respectively.
Subjects: 
Logistics network design
Multilevel location-allocation problem
Transborder logistics
Variable neighborhood strategy adaptive search
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

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