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.
Evaluation of Heuristic Control Strategies for AGV's (Automated Guided Vehicles) under Varying Demand Arrival Patterns
1987
18 pages
Report
No indication
English
Manufacturing, Planning, Processing & Control , Manufacturing Processes & Materials Handling , Heuristic methods , Materials handling vehicles , Asymmetry , Symmetry , Control , Strategy , Manufacturing , Monte carlo method , Scheduling , Vehicles , Arrival , Patterns , Decision making , Markov processes , Mathematical models , Optimization , Routing , Computerized simulation , Fortran
Design and Development of swarm AGV’s alliance for Search and Rescue operations
BASE | 2023
|Wiley | 1985
|