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

Abstract

Intelligent Scheduling and Information System the goal of this research has been the development of a computational theory of constraint- directed scheduling for application to the generation and reactive management of job shop production schedules. Methodologically, the development and investigation of elements of this theory have involved the construction of a series of experimental knowledge-based systems for job shop scheduling. Several versions of a system called ISIS (Intelligent Scheduling and Information System) were developed, followed by development of a successor system called OPIS (opportunity Intelligent Scheduler). Each of these systems were tested using simulated production data from an actual manufacturing environment. We provide an overview of this work and highlight the major accomplishments.

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Document Details

Document Type
Technical Report
Publication Date
Dec 22, 1986
Accession Number
ADA177270

Entities

People

  • Mark S. Fox
  • Stephen F. Smith

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognitive Science
  • Computer Science
  • Expert Systems
  • Gantt Charts
  • Information Systems
  • Jet Propulsion
  • Job Shop Scheduling
  • Knowledge Based Systems
  • Logistics
  • Logistics Support
  • Manufacturing
  • Mathematical Models
  • Operations Management
  • Robotics
  • Scheduling (Production)
  • Time Intervals

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Industrial Economics
  • Instructional Design and Training Evaluation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms