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Development of Multi-objective Method for Simultaneous Evaluation of Product Design and Process Design with Considering Operational Difficulty

考虑操作难度的产品设计和工艺设计同时评价多目标方法的开发

基本信息

批准号：
20510150
负责人：
ARAKAWA Masahiro
金额：
$ 2.91万
依托单位：
Kansai University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2008
资助国家：
日本
起止时间：
2008 至 2011
项目状态：
已结题

项目摘要

As for multi-operations assigned to a single worker in assembly process, factors of operational difficulty was investigated and relationship between parts location and the difficulty was made clear. The factors of operational difficulty are quantitatively defined and operation time required to assemble parts was measured using actual personal computer. Significant factors depending on parts location affecting operational difficulty are identified by multivariate statistics between operation time measured and values of the factors. Although resultant values of the multivariate statistics depend on different subjects, characteristics of the factors affecting on operations are investigated from results obtained by plural subjects and the significant factors mainly affecting on operations are identified. These results are used to devise concept of design of parts location to reduce operational difficulty and the concrete procedure for the design of parts location is proposed based on the concept.In addition, since this study is finally aiming at automatic design of parts location, this study is developed as multi-objective problem including objective functions of operation time and a size of product. To resolve this multi-objective problem, genetic algorithm involving local search procedures for different objective functions is developed. The developed algorithm is applied to vehicle routing problem for evaluation of effectiveness of the algorithm.As for additional problem of this study, a procedure of modular design for simultaneous evaluation of requirement functions of product and environmental characteristics of parts is proposed. The proposed modular design is applied to mouse device as case study and the case study shows that the resultant design is feasible and practical.

针对装配过程中一人多工序的情况，分析了影响装配工序难度的因素，明确了零件位置与装配工序难度的关系。定量地定义了操作难度的因素，并使用实际的个人计算机测量了组装零件所需的操作时间。影响操作难度的重要因素取决于零件的位置，通过测量的操作时间和因素的值之间的多元统计来确定。虽然多元统计的结果值取决于不同的主体，但从多个主体获得的结果调查影响操作的因素的特征，并且识别主要影响操作的显著因素。这些结果被用来设计零件位置设计的概念，以减少操作难度，并提出了具体的步骤，零件位置设计的概念，基于此，由于本研究的最终目的是自动设计的零件位置，本研究被开发为多目标问题，包括操作时间和产品的大小的目标函数。为了解决这个多目标问题，遗传算法涉及不同的目标函数的局部搜索程序。将该算法应用于车辆路径问题，对算法的有效性进行了评价，并针对本研究的附加问题，提出了一种同时评价产品需求功能和零部件环境特性的模块化设计方法。将所提出的模块化设计方法应用于鼠标装置的设计中，实例分析表明了该方法的可行性和实用性。