Toward a blackboard framework for opportunistic planning and dynamic scheduling in a modular job shop scheduling system

  • Authors:

  • G. A. Reece;Nicholas V. Findler

  • Affiliations:

  • Artificial Intelligence Laboratory, Depatment of Computer Science and Engineering, Arizona State University, Tempe, Arizona;Artificial Intelligence Laboratory, Depatment of Computer Science and Engineering, Arizona State University, Tempe, Arizona

  • Venue:
  • IEA/AIE '90 Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
  • Year:
  • 1990

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Abstract

This paper addresses a proposed scheduling system architecture for developing job shop production schedules in a modular fashion. The blackboard architecture forms a base framework to which application-specific plug-in modules can be applied in a toolkit manner. The issues relating to the implementation of such a flexible architecture and the current status of the HORIZON Project are discussed.