Synchronized manufacturing as in OPT: from practice to theory
Computers and Industrial Engineering
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Optimization, Simulation and Modeling
Genetic Algorithms in Optimization, Simulation and Modeling
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Genetic Algorithms (GA) are innovative search algorithms based on natural phenomena whose main advantages lie in solving mostly high complex problems. This paper provides how a conventional GA can effectively solve the Product Mix and Material Match problem. Some novel ideas in chromosome representation and evaluation are also addressed. This GA approach produces good results with fast convergence speed at the shop floor level, which is verified and validated via real world applications. The product mix and material match approach may help the manager to control the production of electronics manufacturing to meet the customer's demand.