• DocumentCode
    2549109
  • Title

    A constraint satisfaction approach to coordinating multi-site manufacturing supply chains

  • Author

    Xu, Qianli ; Jiao, Roger Jianxin ; Ng, Ngai-Kheong

  • Author_Institution
    Sch. of Mech. & Aerosp. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2009
  • fDate
    21-23 Oct. 2009
  • Firstpage
    1432
  • Lastpage
    1436
  • Abstract
    The dispersed manufacturing environment entails the coordination of product, process, and supply chain (PPSC) decisions. This paper formulates PPSC coordination as a constraint satisfaction problem (CSP) involving product fulfillment knowledge of multiple domains. Based on a domain-based reference model, the multi-site manufacturing supply chain is constructed, considering network structures, product characteristics, decision variables, along with various constraints. A decision propagation structure (DPS) is developed based on the concept of constraint heuristic search to facilitate the exploration of solution spaces. A case study of truck manufacture in a multi-national company is presented to illustrate the framework for PPSC coordination.
  • Keywords
    constraint theory; decision making; supply chain management; constraint heuristic search; constraint satisfaction approach; constraint satisfaction problem; decision propagation structure; decision variables; dispersed manufacturing environment; domain based reference model; multinational company; multiple domain; multisite manufacturing supply chains; network structures; product characteristics; product fulfillment knowledge; supply chain decisions; truck manufacture; Birth disorders; Distributed control; Lubricants; Manufacturing processes; Production facilities; Pulp manufacturing; Space exploration; Supply chain management; Supply chains; Virtual manufacturing; Constraint Satisfaction; Coordination; Multi-site Manufacturing; Supply Chain Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3671-2
  • Electronic_ISBN
    978-1-4244-3672-9
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2009.5344414
  • Filename
    5344414