2022
DOI: 10.11113/aej.v12.17049
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Feasibility Study of Multimodal Transportation of Cassava Products in Thailand: System Dynamics Modeling

Abstract: Thailand is one of the world’s top export countries, sharing 72% of the global shipment, mainly in the agricultural and industrial products. Being a major logistics hub in ASEAN, Thai government has initiated several projects to support the transportation of people and goods. Road transportation is a major mode of goods transportation in Thailand. However, it incurs the highest logistics cost compared with water and rail modes. The use of multimode transportation is, therefore, considered to lower the logistic… Show more

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Cited by 1 publication
(3 citation statements)
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“…Multimodal transportation is preferred over the traditional truck-only mode, to achieve the lowest final logistics costs in the long term. China [28] agreed that multimodal transportation is suitable for agricultural product transportation, including cassava products. Chen and Liu [35] agreed that the logistics costs of multimodal transportation of agricultural by-products is lower than that of road transportation.…”
Section: Simulation Resultsmentioning
confidence: 99%
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“…Multimodal transportation is preferred over the traditional truck-only mode, to achieve the lowest final logistics costs in the long term. China [28] agreed that multimodal transportation is suitable for agricultural product transportation, including cassava products. Chen and Liu [35] agreed that the logistics costs of multimodal transportation of agricultural by-products is lower than that of road transportation.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…Kaewfak et al [27] utilized a fuzzy analytic hierarchy process to select the multimodal transportation routes for the coal transport companies in Thailand. China [28] examined the feasibility of the multimodal transportation of cassava products, in the long term, utilizing the SD modeling approach. Perez-Lespier [29] developed a SD model of a multimodal transportation system to understand the disruption factors that affect the multimodal transportation system efficiency.…”
Section: System Dynamics Modeling Approachmentioning
confidence: 99%
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