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An Automated Process Planning System Based on Genetic Algorithm and Simulated Annealing
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2002
Year
Unknown Venue
Industrial DesignEngineeringIndustrial EngineeringFlexible Optimization CriteriaSimulated AnnealingAutomationDesignProcess ControlComputer EngineeringSystems EngineeringManufacturing PlanningBusinessComputer-aided Process PlanningGenetic AlgorithmAi-based Process OptimizationProcess PlanningProcess OptimizationOperations Research
The paper presents the development of a computer-aided process planning (CAPP) system based on Genetic Algorithm (GA) and Simulated Annealing (SA). The system employs an optimization modeling method that generates all the feasible operation-method alternatives. It also provides flexible optimization criteria that will satisfy the various needs from different job-shops and/or job-batches. Two search algorithms based on GA and SA respectively have been developed to solve the problem effectively. Also, the system provides manufacturability analysis function, which gives designers and job shop operators helpful information about the manufacturing.