The Greater Mekong Sub-region of Southeast Asia: Improving Logistics Connectivity

Banomyong, Ruth

doi:10.1007/978-1-4419-6132-7_4

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…Road conditions in Thailand and China are significantly better than they are in the other countries. Tollways and ring roads are found only in Myanmar and Vietnam, where city congestion has obstructed the efficient flow of goods delivered by trucks during rush hour [10,11].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Constraint (3) stipulates that container g located at CLC i delivers to at most one pair of borders and end markets and only when container g is located at CLC i. Constraint (4) stipulates that container g delivers to end market l only when end market l is allowed to ship via border k. Constraint (5) stipulates that vegetable v is shipped from farmer j to container g located at CLC i only when farmers j deliver the goods to container g. Constraint (6) stipulates that farmers can ship to container g located at CLC i only when container g is available at CLC i. Constraint (7) stipulates that vegetable v is shipped from farmer j if it does not exceed its availability at farm j. Constraint (8) defines the amount of vegetable v packed in container g. Constraint (9) stipulates that vegetable v is be shipped to market l more than its demand. Constraint (10) stipulates that container g's vegetables do not exceed its capacity. Constraint (11) stipulates that farmer j must deliver container g to CLC i before loading can start.…”

Section: Decision Variablesmentioning

confidence: 99%

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A Novel Artificial Multiple Intelligence System (AMIS) for Agricultural Product Transborder Logistics Network Design in the Greater Mekong Subregion (GMS)

et al. 2022

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In recent years, agriculture products have contributed to 28.75% of Thailand’s GDP. China, Vietnam, Myanmar, Cambodia, Laos and Vietnam are the main markets for agricultural products. The annual export volume exceeds 119,222 million THB. The majority of them are shipped over Thailand’s land borders to its neighbors. Small and medium-sized farmers make up more than 85% of those who produce agricultural items. Numerous scholars have studied the transportation methods used by the Greater Mekong Subregion (GMS) nations along the economic corridor, but the majority of them have concentrated on import–export operations involving sizable firms, which are not applicable to the transportation of agricultural products, particularly when attention is paid to small and medium-sized farmers. In this study, mixed-integer programming (MIP) is presented to design an agricultural product logistics network. In order to prolong the lifespan of the container used, the MIP’s primary goal is to maximize the total chain profit while maintaining the lowest container usage possible. The approach was developed to increase small and medium-sized farmers’ ability to compete. Small and medium-sized farmers bring their products to an agricultural product collecting center, also known as a container loading facility. After that, skilled logistics companies distribute the goods. In order to convey the goods to the final clients in neighboring nations, the proper locations of the containing loading centers, the correct transportation option and the borders must be decided. The issue was identified as multi-echelon location–allocation sizing (MELLS), an NP-hard problem that cannot be handled in an efficient manner. To solve a real-world problem, however, efficient techniques must be supplied. AMIS, an artificial multiple intelligence system, was created to address the suggested issue. AMIS was developed with the goal of leveraging a variety of methods for local search and development. There are several well-known heuristics techniques employed in the literature, including the genetic algorithm (GA) and the differential evolution algorithm (DE). With respect to the improved solutions obtained, the computational results show that AMIS exceeds the present heuristics, outperforming DE and GA by 9.34% and 10.95%, respectively. Additionally, the system’s farmers made a total of 15,236,832 THB in profit, with an average profit per container of 317,434 THB and an average profit per farmer of 92,344.44 THB per crop. The container loading center uses 48 containers, with a 5.33 container average per container loading center (CLC). The farmers’ annual revenues were previously less than 88,402 THB per family per year, so we can predict that the new network may increase customers’ annual income by 4.459% for each crop.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Decision Variablesmentioning

confidence: 99%

A Novel Artificial Multiple Intelligence System (AMIS) for Agricultural Product Transborder Logistics Network Design in the Greater Mekong Subregion (GMS)

et al. 2022

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“…Logistics performance is inversely proportional to the logistics cost of the exported goods, especially for perishable products of agriculture. Logistics performance of Vietnam has been facing challenges of interregional connectivity, physical and digital infrastructure, human resources, competitive logistics service market, legal transparency, and customs clearance-related fees and procedures (Banomyong, 2013;Banomyong et al, 2015;Lu & Lin, 2012;Tongzon & Lee, 2016). Given the nature of agricultural products, they are significantly affected by the national logistics performance.…”

Section: Introductionmentioning

confidence: 99%

Globalisation, Logistics and Food Supply: Evidence from Vietnam

2021

MJES

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Most countries satisfy domestic food consumption by importing from foreign supplies, thus highlighting the role of agricultural exports in maintaining and diversifying the global food supply. In the age of globalisation, whether the flourishing number of regional trade agreements (RTAs) has been facilitating greater market access of agricultural and food products is questioned by national governments. Meanwhile, logistics performance has been the bottleneck of emerging economies, which exerts negative impacts on agricultural export competitiveness in foreign markets. Overall, the interlink between globalisation, logistics and food supply has not been addressed adequately. Therefore, this paper employs the trade gravity model to examine the relationship between agricultural exports, RTAs membership, and logistics performance in the case of Vietnam and her 97 major trading partners. Static and dynamic panel data estimation are employed with the methods applied to solving the zero trade and endogeneity concerns. Findings confirm the interlink between globalisation, logistics and food supply. RTAs-based globalisation and logistics policies are intertwined to secure and diversify import-driven food supply. The unified framework for long-term and sustainable development which aims at strengthening the interlink between globalisation, logistics, agriculture and global food supply should be considered in policy formulation.

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The Conceptual Framework Regarding Economic Corridors

Wolf

2019

The China-Pakistan Economic Corridor of the Belt and Road Initiative

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The Greater Mekong Sub-region of Southeast Asia: Improving Logistics Connectivity

Cited by 4 publications

References 6 publications

A Novel Artificial Multiple Intelligence System (AMIS) for Agricultural Product Transborder Logistics Network Design in the Greater Mekong Subregion (GMS)

A Novel Artificial Multiple Intelligence System (AMIS) for Agricultural Product Transborder Logistics Network Design in the Greater Mekong Subregion (GMS)

Globalisation, Logistics and Food Supply: Evidence from Vietnam

The Conceptual Framework Regarding Economic Corridors

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