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基于集对分析与改进模式匹配算法的产品规划方法 被引量:1

Product Planning Method Based on Set Pair Analysis and Improved Pattern Matching Algorithm
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摘要 针对外协加工资源参与下的产品质量—成本—时间控制是一种影响因素较多的、复杂的系统工程,建立了基于集对分析的产品规划的优化模型,其目标函数采用集对分析法将产品规划的质量可靠性、经济性和时间性有机地结合起来,使优化方案的可靠性、经济性和时间性综合效益达到最佳。将基于压缩矩阵的改进模式匹配算法用于求解该优化模型,得到最佳的产品质量—成本—时间控制方案,从而为产品各零部件选择合适的外协加工资源。最后,对三针平缝机的质量—成本—时间控制问题进行了实例分析,依据其分析结果确定各零部件的外协加工资源,结果证明了所提方法的有效性和可行性。 Since product quality-cost-time control process is a kind of complex systems engi- neering including involvement of outsourcing resources. Product planning optimization model was built based on SPA. In the objective function, SPA method was adopted to organically integrate relia- bility, economy and timing of planning scheme, and the best general benefit of optimal project was obtained. Improved pattern matching algorithm based on compressed matrix was used to solve the op- timization model, and the optimal product quality-cost-time control scheme was selected. Accord- ing to that optimal alternative, reasonable outsourcing resource was selected for each component. Fi- nally, three needle lockstitch sewing^s quality-cost-time control process as a practical case was pro- vided and its each component' outsourcing resources was identified. The result shows the effective- ness and validity of the proposed method.
出处 《中国机械工程》 EI CAS CSCD 北大核心 2013年第8期1056-1061,共6页 China Mechanical Engineering
基金 浙江省教育厅科研项目(Y200906405)
关键词 集对分析 模式匹配 质量控制 成本控制 时间控制 外协加工资源选择 set pair analysis(SPA) pattern matching quality control cost control time con- trol outsourcing resource selection
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