Integrated assembly and machining planning for electronic products using a genetic algorithm approach |
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Authors: | Yuan-Jye Tseng Chi-Hung Lin Yu-Hua Lin |
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Affiliation: | (1) Department of Industrial Engineering and Management, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li, Taoyuan, 320, Taiwan;(2) Department of Marketing and Distribution, Hsiuping Institute of Technology, Taichung, Taiwan |
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Abstract: | To produce an electronic product, both assembly operations and machining operations are required in the process plan. In most
cases, the assembly operations and machining operations need to be combined in a continued order with an integrated sequence.
This is different from the traditional process planning approaches in which machining operations and assembly operations are
separated as two independent tasks with no interactions. For an electronic product, the two types of operations and the associated
costs may affect each other in an interactive way. Therefore, the sequence planning of assembly operations and machining operations
must be analyzed with an integrated model. In this research, a graph-based model is presented to represent the assembly and
machining operations in an integrated model. The related operation cost functions are developed to evaluate the costs for
the integrated assembly and machining sequences. The integrated sequence planning problem is solved using a genetic algorithm
approach with an objective of lowest operation costs. As a result, the assembly operations and machining operations can be
planned in an integrated sequence suitable for producing electronic products. The result shows that the developed method using
the genetic algorithm approach is efficient for solving the integrated sequence planning problem. Example products are demonstrated
and discussed. |
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Keywords: | Process planning Assembly planning Machining planning Genetic algorithm |
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