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作 者:王宁[1] 闫娜 张帅 刘玉敏[1] 杨剑锋[1] WANG Ning;YAN Na;ZHANG Shuai;LIU Yu-min;YANG Jian-feng(Business School,Zhengzhou University,Zhengzhou 450001,China;School of Management Engineering,Henan Institute of Engineering,Zhengzhou 451191,China)
机构地区:[1]郑州大学商学院,河南郑州450001 [2]河南工程学院管理工程学院,河南郑州451191
出 处:《运筹与管理》2021年第1期234-239,共6页Operations Research and Management Science
基 金:国家自然科学基金资助项目(U1904211);国家社科基金资助项目(20BTJ059)。
摘 要:多工序制造过程通常包含串联和并联两种结构,具有串并联混合结构的多工序制造过程是实践中最为常见的形式,而不同模式的并联结构其上游工序质量波动对下游工序及总过程能力的影响不同。针对多工序制造过程并联结构特点,本文从波动减少的角度重点对多工序并联制造过程中并行、分散和收敛三种基本模式进行过程能力分析,研究多工序制造过程中各子过程波动对整体过程能力的影响,并根据各子过程质量波动减少的“困难度”和“效用比”评价质量改进的效果,给出多工序并联过程能力改进策略选择依据。通过实例表明,本方法能较好地识别各工序质量波动减少对本工序过程能力和总过程能力的不同影响,确定质量改进的优先顺序,实现多工序制造过程的经济性质量改进和优化。In practical production,multistage process usually contains series and parallel structures,the multistage manufacturing process with series and parallel hybrid structure is the most common form in practice,and in the parallel structure with different modes,the effect of the quality variation in the upstream process on the downstream process and the total process capability is different.According to the characteristics of the multistage process with parallel structure,process capability in the parallel multistage process with parallel,disperse,and convergence three basic patterns is analyzed.Based on the perspective of variation decrease,the influence of the variation of each sub-process on the overall process capability in multistage manufacturing is studied.The effect of quality improvement is evaluated according to the“difficulty”and“utility ratio”of reducing quality variation of each sub-process.Then the basis for selecting the strategy of multistage process capability improvement is given and an example is provided to illustrate it.The results show that the method can identify the different influences of the quality variation reduction of each process on process capability of this process and total process capability,determine the priority of quality improvement,and then realize the economic quality improvement and optimization of the multistage manufacturing process.
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