大湄公河次区域农产品运输跨境物流网络设计

IF 3.3 Q2 TRANSPORTATION Asian Journal of Shipping and Logistics Pub Date : 2022-12-01 DOI:10.1016/j.ajsl.2022.10.001
Natthapong Nanthasamroeng , Surajet Khonjun , Thanatkij Srichok , Rapeepan Pitakaso , Raknoi Akkararungroeungkul , Ganokgarn Jirasirilerd , Sarinya Sirisan
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引用次数: 1

摘要

本研究旨在为泰国、老挝和柬埔寨之间的农产品国际贸易设计一个运输模式,即大湄公河次区域(GMS)。农产品从农民合作社运往国外终端市场。建立了GA、DE和VaNSAS数学模型来确定最优运输方式。所提出的方法的目标是:(1)最大化整个农业链的总利润;(2)最小化集装箱到达终端市场的最长时间或到达时间,以保持农产品的新鲜度。计算结果表明,对于小尺寸问题实例,VaNSAS算法的最优解为100%,而DE算法和GA算法的最优解分别为63.63%和72.72%。对于大型问题实例,VaNSAS的利润分别比DE和GA高10.53%和8.96%,而makespan则分别低9.57%和7.20%。
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Transborder logistics network design for agricultural product transportation in the Greater Mekong Subregion

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.

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来源期刊
CiteScore
7.80
自引率
6.50%
发文量
23
审稿时长
92 days
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