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

Pree Thiengburanathum, Jesus Gonzalez-Feliu (), Yacine Ouzrout (), Nopasit Chakpitak and Abdelaziz Bouras ()
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Pree Thiengburanathum: College of Art Media and Technology - University of Chiang Mai
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

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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.

Keywords: Knowledge Management; Customer Relationship Management; Multi Agent Simulation and Modelling; Greater Mekong Subregion's North-South Economics Corridor (search for similar items in EconPapers)
Date: 2010-12-16
New Economics Papers: this item is included in nep-cmp, nep-cse and nep-sea
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00628948v1
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Citations: View citations in EconPapers (1)

Published in 2nd International Conference on Logistics and Transport (ICLT) 2010, Dec 2010, Queenstown, New Zealand. 7 p

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