Evaluation of Heuristic Control Strategies for AGV's (Automated Guided Vehicles) under Varying Demand Arrival Patterns.

Abstract

With the increasing emphasis on automation, Automated Guided Vehicles are becoming an important material handing tool in flexible manufacturing systems. The flexibility of AGV's present an interesting problem in the routing and scheduling of vehicles within the system. In this paper, we evaluate a control strategy, which is based on an analysis of the optimal control rules from a Markov Decision Process model. This strategy is compared to Vehicle Looks for Work (VLFW), which is a common control strategy used manufacturing systems today. Systems with asymmetric and symmetric demand arrivals are tested and compared for single and two vehicle systems using Monte Carlo simulation.

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1987
Accession Number
ADA183440

Entities

People

  • Russell E. King
  • Steve K. Monteith
  • Thom J. Hodgson

Organizations

  • North Carolina State University

Tags

DTIC Thesaurus Topics

  • Advanced Manufacturing
  • Automated Guided Vehicles
  • Automation
  • Control Systems
  • Data Science
  • Information Science
  • Manufacturing
  • Materials
  • Monte Carlo Method
  • Resilience
  • Scheduling (Production)
  • Simulations
  • Test And Evaluation

Fields of Study

  • Engineering

Readers

  • Operations Research
  • Robotics and Automation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.