Knowledge engineering for industrial expert systems
Automatica (Journal of IFAC)
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Understanding Decision Support Systems and Expert Systems
Understanding Decision Support Systems and Expert Systems
Simulation of Manufacturing Systems
Simulation of Manufacturing Systems
IMACS: A Case Study in Real-World Planning
IEEE Intelligent Systems
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This paper presents the design and evaluation of a manufacturing route planner for flexible manufacturing systems. The aim of the planner is to find the optimal manufacturing routes for jobs using well-designed cost functions. This route planner, which is based on heuristic [A*] strategy, has been designed to work under dynamic arrival pattern environment. The proposed algorithm consists of two level; the cell level, which controls the jobs flow between cells, and the machine level which controls the jobs flow between the machines inside the cells selected at first level.The solutions of the route planner are contained in a dynamic knowledge base that passes information to the sequencing and monitoring stage. The suggested model has also the capability to detect and response with suitable alternation for the damaged elements in the manufacturing system. To improve the performance of the planner, the design is organized into distributed programming media using the concurrent features of the modula-2 programming language. Finally, two case studies are considered to illustrate the functionality of the proposed algorithm.