• DocumentCode
    624916
  • Title

    Approaches to improve the performance of the collaborative supply chain management: Literature review

  • Author

    Taieb, Nouha Hadj ; Affes, Habib

  • Author_Institution
    LARTIGE Res. Unit, Fac. of Econ. Sci. & Manage. of Sfax, Sfax, Tunisia
  • fYear
    2013
  • fDate
    29-31 May 2013
  • Firstpage
    440
  • Lastpage
    445
  • Abstract
    Collaboration has been recognized as a significant process that holds the value creation opportunity in supply chain management. Facing uncertain environments, firms have strived to achieve greater supply chain collaboration to leverage the resources and knowledge of their suppliers and customers. The objective of this study is to give a review of the literature that relates to various approaches to improve the performance in the collaborative supply chain. To achieve this objective, we propose the multi-agent models as relational approaches that improve the communication and interaction between agents and to get them to cooperate and coordinate with each others. Although, this paper does not stop at this level but it extends to raise other factors that lead to improve the performance of a company. Among these factors, new information technologies that play, as far as collaboration, an important role in the logistics network. The use of techniques based on information sharing which are supported by information technologies is fast becoming an indispensable tool for designing and managing complex supply chain systems today.
  • Keywords
    information management; knowledge management; logistics; multi-agent systems; production engineering computing; resource allocation; supply chain management; collaborative supply chain management performance; company performance; complex supply chain system design; customer knowledge; information sharing; information technologies; logistics network; multiagent models; relational approaches; supplier knowledge; supply chain collaboration; uncertain environments; value creation opportunity; Collaboration; Companies; Industries; Multi-agent systems; Supply chains; collaboration; information technology; multi-agent decision system; relationship models; supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Logistics and Transport (ICALT), 2013 International Conference on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4799-0314-6
  • Type

    conf

  • DOI
    10.1109/ICAdLT.2013.6568499
  • Filename
    6568499