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Logistics Strategy for Agricultural Products in Thailand; Case Study: Hub and Spoke System Applied within the Shrimp Industry

Logistics Strategy for Agricultural Products in Thailand; Case Study: Hub and Spoke System Applied within the Shrimp Industryaf Sumetee Wongsak
Bag om Logistics Strategy for Agricultural Products in Thailand; Case Study: Hub and Spoke System Applied within the Shrimp Industry

Transportation costs are typically constitute the largest percentages of the total cost in the production process of agricultural industries. This study aims to apply the hub-andspoke system to the agricultural transportation and distribution networks of Thai agricultural products in order to reduce transportation costs and to investigate the location of facilities within the shrimp industry by varying parameters. Hubs serve as collection and switching points in the system and transportation flows will be consolidated in the hub links. The concentration in the hub network leads to economies of scale, and for this reason the transportation cost rate will be reduced. In the study, central markets for shrimp are referred to as hubs. The hub location models are divided in uncapacitated hub location models and hub location models with minimal capacity. These models are stated as an integer linear programming models. The objective functions of both models are identical. They include the costs of direct and indirect transportation as well as the construction costs of hubs. While evaluating transportation costs, the opportunity cost reflected in the perishable nature of the agricultural products is accounted for as well. The rates of the opportunity cost are calculated as the difference between averaging shrimp prices of direct trade with the factory and trade within shrimp markets. The difference of the two models lies in the constraints of minimal capacity. To solve the hub location problems, the sum of the costs is optimized through a genetic algorithm. This research employs secondary data from 2006 until 2008 based on information of the Department of Internal Trade and the Department of Fisheries of Thailand.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783869558196
  • Indbinding:
  • Paperback
  • Sideantal:
  • 146
  • Udgivet:
  • 15. juli 2011
  • Størrelse:
  • 148x8x210 mm.
  • Vægt:
  • 199 g.
  • 2-3 uger.
  • 16. december 2024
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Beskrivelse af Logistics Strategy for Agricultural Products in Thailand; Case Study: Hub and Spoke System Applied within the Shrimp Industry

Transportation costs are typically constitute the largest percentages of the total cost
in the production process of agricultural industries. This study aims to apply the hub-andspoke
system to the agricultural transportation and distribution networks of Thai agricultural
products in order to reduce transportation costs and to investigate the location of facilities
within the shrimp industry by varying parameters. Hubs serve as collection and switching
points in the system and transportation flows will be consolidated in the hub links. The
concentration in the hub network leads to economies of scale, and for this reason the
transportation cost rate will be reduced. In the study, central markets for shrimp are referred
to as hubs. The hub location models are divided in uncapacitated hub location models and
hub location models with minimal capacity. These models are stated as an integer linear
programming models. The objective functions of both models are identical. They include the
costs of direct and indirect transportation as well as the construction costs of hubs. While
evaluating transportation costs, the opportunity cost reflected in the perishable nature of the
agricultural products is accounted for as well. The rates of the opportunity cost are calculated
as the difference between averaging shrimp prices of direct trade with the factory and trade
within shrimp markets. The difference of the two models lies in the constraints of minimal
capacity. To solve the hub location problems, the sum of the costs is optimized through a
genetic algorithm. This research employs secondary data from 2006 until 2008 based on
information of the Department of Internal Trade and the Department of Fisheries of Thailand.

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