Research on the Problem of MC Assembly Line Balancing Based on Genetic Algorithm

Shui Li Yang; Wei Ping Huang

doi:10.4028/www.scientific.net/MSF.532-533.1076

Paper Titles

A Study on the Aviation Manufacture Cell Scheduling Based on Adaptive Ant Colony Algorithm
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Framework of Virtual Private Supply Chain Management
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Study on Approach to Fuzzy Product Configuration Based on Vague Customer Requirements
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Reconfigurable Manufacturing Execution Systems Based on Model-Driven Architecture
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Research on the Problem of MC Assembly Line Balancing Based on Genetic Algorithm
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Research on Analyzing and Coding Technology of Manufacturing Information Resource Based on Granularity-Structure
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A Job Shop Scheduling Heuristic Algorithm Based on Probabilistic Model of the Search Space
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A New Software Design Method Based on Configuration Conception
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Improving Supply Chain Traceability with the Integration of Logistics Information System and RFID Technology
p.1092

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Research on the Problem of MC Assembly Line Balancing Based on Genetic Algorithm

Abstract:

Through the comparative analysis, the features of the mass customization assembly line are obtained. The corresponding genetic algorithm is designed with the total idle time and overloading time of the minimized assembly line as the target function, which is used to resolve the distribution problems of the operation elements in mass customization assembly line. The improved genetic operators can heighten the overall optimal solution ability of genetic algorithm convergence. The calculated examples indicate that this algorithm is the effective method for seeking out solution to the problems of operation elements in the mass customization assembly line.