Constraint-Based Scheduling in an Intelligent Logistics Support System: An Artificial Intelligence Approach.

摘要

This report summarizes the research that was performed under AFOSR Contract Number F49620-85-C-0054 titled Constraint-Based Scheduling in an Intelligent Logistics Support System: An Artificial Intelligence Approach, provided by the Electronics and Material Sciences Departments of the Air Force. The overall goal of this research has been the development of a computational theory of constraint-directed scheduling for application to the problem of job shop production scheduling. Research performed under this contract has focused on the investigation of issues relating to the reactive management of job shop schedules in response to the dynamics of factory operation. An experimental knowledge-based system called OPIS (Opportunistic Intelligent Scheduler) has been developed that provides a scheduling system architecture for reactive control and a testbed for exploring different reactive scheduling methodologies. We provide an overview of this work and highlight the major accomplishments. (KR)