Mixed-type data clustering approach to cell formation in Cellular Manufacturing System

• Main Authors: Fu-Chou Cheng, 鄭富州
• Other Authors: Miin-Shen Yang
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/kqz8fr

碩士 === 中原大學 === 應用數學研究所 === 91 === Abstract Group Technology (GT) is a strategy in management. It affects a company on most areas. Its impact on productivity is so important that we can not underestimate it. It is also a manufacturing philosophy in improving the productivity for a manufacturing systems. To implement a GT system successfully, one has to understand its impact on the system performance, the different department functioning and the technologies that can assist the implementation. If it is used well, it can lead to economic benefits and job satisfaction. Cell formation (CF), one of the most important problems faced in designing cellular manufacturing systems, is to involve identifying families of similar parts. A part family is a group of parts presenting similar geometry and requiring a similar production process. Traditional schemes such as the classification on coding and the production flow analysis do not consider uncertainty, symbolic or fuzzy data. In this study, we use a mixed-type data clustering algorithm to cell formation. Some examples are demonstrated by applying the proposed method to the real data.