• DocumentCode
    3588330
  • Title

    Dispatching and conflict-free routing based on model predictive control in semiconductor fab

  • Author

    Nakamura, Ryosuke ; Sawada, Kenji ; Shin, Seiichi ; Kumagai, Kenji ; Yoneda, Hisato

  • Author_Institution
    Dept. of Mech. Eng. & Intell. Syst., Univ. of Electro-Commun., Tokyo, Japan
  • fYear
    2014
  • Firstpage
    254
  • Lastpage
    259
  • Abstract
    This paper proposes a new scheduling method of dispatching and conflict-free routing for overhead hoist transport (OHT) systems in semiconductor fabrication (Fab). This paper utilizes a model predictive control (MPC) strategy in which the cycle of measurement, prediction, optimization and control is repeated. The first aim of the MPC application is to set a small prediction horizon for the scheduling optimization, which leads to reduce computational complexity. The second aim is to address the dynamic situation such that transport requests are given in real time. This paper introduces a switching type multi-objective cost function and considers how the MPC based method adds new request tasks to the scheduling problem in real-time for the dynamic situation. To verify the validity of the proposed method, some numerical examples are shown.
  • Keywords
    computational complexity; dispatching; hoists; optimisation; predictive control; scheduling; semiconductor technology; MPC strategy; computational complexity reduction; conflict-free routing; control cycle; dispatching method; dynamic situation; measurement cycle; model predictive control; numerical method; optimization cycle; overhead hoist transport systems; prediction cycle; prediction horizon; scheduling method; scheduling optimization; semiconductor fab; semiconductor fabrication; switching type multiobjective cost function; transport requests; Dispatching; Loading; Optimization; Routing; Switches; Vehicles; Dispatching; Model Predictive Control; Routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Control Conference (CACS), 2014 CACS International
  • Print_ISBN
    978-1-4799-4586-3
  • Type

    conf

  • DOI
    10.1109/CACS.2014.7097197
  • Filename
    7097197