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Research on Time Optimization for Mass Assembly Customization

Author: HuangLiPing
Tutor: YangShuiLi
School: Xi'an University of Technology
Course: Business management
Keywords: Large-scale assembly customization Assembly process Time optimization Rapid response
CLC: F273
Type: Master's thesis
Year: 2005
Downloads: 177
Quote: 5
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Abstract


Mass customization based on the cost and speed of production of large - scale production of a mode of production of customized products , mass customization, the emergence of the theory to the theory and practice of the manufacturing sector has brought new vigor and vitality . Existing research on how to deal with the problem of the relationship of the two major challenges of the time and cost of mass customization in manufacturing enterprises fast response to customer needs through reduced assembly time the lack of in-depth research . The thesis of the optimization problem of large-scale assembly of custom time basis - module division and assembly sequence planning study , given on the basis of the original study , the optimization module division method and parallel assembly time assembly sequence planning method . On this basis , the paper focuses on the pre - put into production and assembly line balancing problem , pre put into large - scale assembly of custom and combined the Xi'an Shiky instance study . Secondly, on the basis of comparison of the branch and bound method and genetic algorithm improved genetic algorithm to solve Xi'an Shiky company assembly line balancing problem . The paper concluded that the problem to be solved in the large - scale assembly of custom production process and the need to continue in-depth study . Papers by two in-depth study of the level of the basic work and method of operation time optimization problem , guide enterprises to improve the process of mass customization assembly , rapid response capability to increase market demand good theoretical and practical significance .

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CLC: > Economic > Economic planning and management > Enterprise economy > Production management
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