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Planning and scheduling in a flexible manufacturing system using a dynamic routing method for automated guided vehicles

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2 Author(s)
Pei-Sen Liu ; Dept. of Comput. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan ; Li-Chen Fu

An approach that can dynamically solve the planning and scheduling problem in a flexible manufacturing system (FMS) is presented. This problem is formulated as the determination of an optimal routing assignment of p automated guided vehicles among m workstations in order to accomplish N tasks in an FMS. A useful task representation called workgraph is introduced to facilitate the latter computation; then the A* search algorithm, the minimax criterion, and source heuristic rules are used to solve this routing assignment problem dynamically. The approach obtains a near-optimal solution in moderate computation time, and, in addition, solves some dynamic situations so as to make the FMS more flexible

Published in:

Robotics and Automation, 1989. Proceedings., 1989 IEEE International Conference on

Date of Conference:

14-19 May 1989