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<p style="text-align:justify;">According to Thailand’s infrastructure development and investment plan, an efficient transportation network will take form over the next three to five years. Dual-track railway will be built to cover more areas of the country and will be offered more routes between central, north-eastern, and eastern Thailand. Therefore, rail transportation or train transportation will become a good choice or an important conveyance of goods from various origins to various destinations in Thailand due to its competitiveness which is low cost of freight. This paper presents a concept of designing the new distribution network in Thailand using rail as a major mode of transportation. Cassava distribution chain is selected as a case study and prototype of this new design, since Thailand is an agricultural country and cassava is one the most exported agricultural product. Various factors influencing the choice of distribution network and transportation mode, such as customer satisfaction, characteristics of products, cost, etc., are investigated and are described. Linear programming models represent the current distribution model and the new distribution model are presented and then solved by Microsoft Excel with Open Solver Software. The result reveals that the new distribution network of cassava product in Thailand can lower the total distribution cost up to 51.63% compare to the current distribution network.</p>

MBR_Volume 4_Issue 2_Pages 206-216.pdf

Original Research 

mbr.2017.60436.xml

Issue

Designing the distribution network in a cassava supply chain in Thailand

<p style="text-align:justify;">This paper proposes a selection of different types of Special Economic Zone (SEZ) in Thailand. Following this, the locations and key success factors of SEZs in Thailand are also provided. The first part of the paper presents all factors that are analytical or essential to the success of all types of SEZ in the world by re-examining all literature which can be found in most of the academic databases. All of those factors from the review then underwent the correlation test. The regression model with Ordinary Least Square method is created in this step. The result of the test indicated that there are eight factors which were found to be correlated to the success or survival of SEZs around the world. These eight factors are location advantage and macroeconomic of the country, industrial investment support, investment cost and value of trade, skill levels and availability of human resource, management and service, government policies, law and regulation, and stability and consistency of the government. Twenty-eight provinces from seventy-seven provinces across the country in Thailand were then selected because of two reasons, namely the government policy in promoting special economic area in Thailand and the consensus of experts from Delphi Technique. Lastly, all selected provinces are tested using the model provided in the mentioned steps. The results reveal that the most appropriate types of SEZ in Thailand are the Export Processing Zone, Specialized Zone, and Freeport Zone. The research indicates that Bangkok, Trat, Pathumthani, Chonburi, Phuket, Suratthani, Udonthani, and Srakaew are the eight provinces which have such perfect environments and factors that contribute to the success of SEZ in Thailand.</p>

MBR_Volume 4_Issue 2_Pages 169-178.pdf

mbr.2017.60355.xml

Location and key success factors of special economic zone in Thailand