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

Abstract

This report summarizes the progress of research performed under AFOSR contract Number F49620-82-K-0017, titled Constraint-Based Scheduling in an Intelligent Logistics Support Syestem: An Artificial Intelligence Approach . During the contract renewal period from March, 1984 to March, 1985, the continued development of a theory of hierarchical, opportunistic constraint-directed reasoning for job shop scheduling has been the focus of our research. Specifically, we have conducted work in the areas or of opportunistic exploitation of constraints, and constaint-directed diagnosis. The former has led us to the use of multiple problem decompositions during schedule generation, while the latter has evolved toward development of a more broad based framework for reactive scheduling. An experimental software system call ISIS has continued it evolution and additional testing with simulated plant data has been performed. The design of a successor system called PHOENIX has been initiated. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 15, 1985
Accession Number
ADA159043

Entities

People

  • M. S. Fox
  • Stephen F. Smith

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computer Science
  • Contracts
  • Decomposition
  • Demographic Cohorts
  • Engineering
  • Engineers
  • Industrial Engineering
  • Industrial Plants
  • Job Shop Scheduling
  • Logistics
  • Logistics Support
  • Manufacturing
  • Reasoning
  • Recognition
  • Scheduling (Production)
  • Universities

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Operations Research
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms