• DocumentCode
    536155
  • Title

    Study on Modeling of Job Shop Scheduling with Multi-resource Constraints

  • Author

    Yaqin, Zhou ; Beizhi, Li ; Jianguo, Yang ; Qingxia, Wang

  • Author_Institution
    Sch. of Mech. Eng., Donghua Univ., Shanghai, China
  • Volume
    2
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    313
  • Lastpage
    317
  • Abstract
    A model of job shop scheduling with multi-resource constraints is studied in this paper, which fully considers the dynamic condition, flexible process plan, non-cutting time of the process, the availability of resource(machine/fixture) and the batch size of job based on practical production condition. IDEF0 and object-oriented technology are used to build the complicated model. The functional model of the job shop scheduling system is built with IDEF0. Different object classes are defined with object-oriented technology. An association model of these classes is built, and the information model of the scheduling system is formed. Then an immune algorithm based on the biological immunity mechanism is used to solve this problem. Finally an illustrative example is tested on the software programmed. The results show that the model and the immune algorithm proposed can solve the complex job shop scheduling problem with multi-resource constraints effectively.
  • Keywords
    artificial immune systems; batch processing (computers); biology; job shop scheduling; object-oriented methods; resource allocation; IDEFO technology; batch size; biological immunity mechanism; different object class; flexible process plan; information model; job shop scheduling; multiresource constraint; noncutting process time; object oriented technology; practical production condition; software program; Biological system modeling; Dynamic scheduling; Job shop scheduling; Object oriented modeling; Optimal scheduling; job shop scheduling; modeling; multi-resource constraints; object-oriented technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8432-4
  • Type

    conf

  • DOI
    10.1109/AICI.2010.188
  • Filename
    5657093