• DocumentCode
    2301806
  • Title

    A heuristics guided scheduling framework for domains with complex conditions

  • Author

    Nomura, Yuriko ; Iwamoto, Masahiko ; Yamanouchi, Toru ; Watanabe, Masanobu

  • Author_Institution
    C&C Res. Labs., NEC Corp., Tokyo, Japan
  • fYear
    1994
  • fDate
    6-9 Nov 1994
  • Firstpage
    752
  • Lastpage
    755
  • Abstract
    In this paper, we describe PLUTO, PLant scheduling expert system bUilding TOol. PLUTO provides the framework to build scheduling systems for daily schedule of the facilities and personnel involved in the manufacturing process. PLUTO is suited for pipe connected plants with strict sanitary conditions, such as plants for medical supplies, chemical or food plants. In these domains, it is difficult to use general problem solvers because strict conditions lead to complex constraints among tasks and resources. Scheduling system built using PLUTO is able to generate schedules in a considerably short amount of time by a combination of heuristic search and constraint propagation. PLUTO has been able to reduce one third of the scheduling cost for real world scheduling problems
  • Keywords
    Humans; Job production systems; Job shop scheduling; Laboratories; Manufacturing processes; Medical expert systems; National electric code; Personnel; Pluto; Production facilities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1994. Proceedings., Sixth International Conference on
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    0-8186-6785-0
  • Type

    conf

  • DOI
    10.1109/TAI.1994.346409
  • Filename
    346409