Real Time Conflict Resolution in Automated Guided Vehicle Scheduling

Abstract

While there have been significant advances in material handling techniques over the past decade, the primary growth in this technology has been in the areas of robotics, automated guided vehicle (AGV) systems, and automated storage and retrieval systems (AS/RS). The control of AGVs and the development of efficient algorithms to manage material handling problems have been areas of research recently demanding much attention. Previous researchers addressed the control of AGVs over networks containing uni-directional paths. In this work, a shortest path algorithm is embedded within a branch-and-bound procedure to generate conflict-free AGV routes through bi-directional networks. The resulting methodology efficiently resolves conflicts that would normally occur among AVGs traveling in complex AGV systems. Development of this method is discussed in detail and the computational performance of a most encouraging representative algorithm is presented. Keywords: Routing and scheduling algorithms. Theses.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1988
Accession Number
ADA196289

Entities

People

  • Stephen C. Daniels

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Algorithms
  • Automated Guided Vehicles
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Flow Network
  • Linear Programming
  • Materials
  • Mathematical Models
  • Mathematical Programming
  • Operations Research
  • Scheduling (Production)
  • Schools
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Computational Fluid Dynamics (CFD)
  • Database Systems and Applications
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Human-Robot Interaction