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An integrated planning-simulation-architecture approach for logistics sharing management: A case study in Northern Thailand and Southern China

Author

Listed:
  • Pree Thiengburanathum

    (College of Art Media and Technology - University of Chiang Mai)

  • Jesus Gonzalez-Feliu

    () (LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Yacine Ouzrout

    () (LIESP - Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production - UL2 - Université Lumière - Lyon 2 - ECL - École Centrale de Lyon - Université de Lyon - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées)

  • Nopasit Chakpitak

    (College of Art Media and Technology - University of Chiang Mai)

  • Abdelaziz Bouras

    () (LIESP - Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production - UL2 - Université Lumière - Lyon 2 - ECL - École Centrale de Lyon - Université de Lyon - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées)

Abstract

In logistics, freight transportation is a major source of income in a country's economy. One of the most popular strategies is logistics sharing, which is a complex problem due to the involved stakeholders. Moreover, the current several transport operations are extremely expensive due to the empty return. For these reasons, a decision support system is needed to enhance or predict the system optimum and the best strategies of each stakeholder in the context of logistics sharing schemas. In this paper, we will discuss how a Knowledge Management System methodology can be developed for a real case study from the project between Northern Thailand and Southern China which will be used in our study. In parallel, we will show how we model the agent from the analysed data in order to use in our Multi-Agent Simulation in the next phase. The agents will be defined such as transport agents, intermediate agents and customers, among others.

Suggested Citation

  • Pree Thiengburanathum & Jesus Gonzalez-Feliu & Yacine Ouzrout & Nopasit Chakpitak & Abdelaziz Bouras, 2010. "An integrated planning-simulation-architecture approach for logistics sharing management: A case study in Northern Thailand and Southern China," Post-Print halshs-00628948, HAL.
  • Handle: RePEc:hal:journl:halshs-00628948
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00628948
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    Keywords

    Knowledge Management; Customer Relationship Management; Multi Agent Simulation and Modelling; Greater Mekong Subregion's North-South Economics Corridor;

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