A Study on the Lean Management Shojinka Problem from the Dyeing Workstation of Textile Manufacturing

• Main Authors: YiwenChen, 陳羿彣
• Other Authors: Taho Yang
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/45s3ex

碩士 === 國立成功大學 === 製造資訊與系統研究所 === 105 === Textile manufacturing have been important industry in Taiwan. Due to the internationalization and the competitive market, many enterprises have adapted lean method to reduce wastes, enhance quality of products and also have to increase the flexibility of manufacturing. Adapting Shojinka method and lean thinking to deal with the staffing problem in the dyeing workstation in the textile factory is the main issue of this research, hoping to find the improvement opportunities of the organization. First, we use value stream mapping to identify the wastes in the process and find the opportunities to improve. Next, we collect the information of dyeing workstation and rearrange the types and layout of the dyeing machine. Then, based on the blocks from the machine types, we use moving distances to decide whether two or more blocks can use the same operator or not. Finally, we use Taguchi Orthogonal Array to conduct several experiment scenarios for different product with variable demand to discuss each plan’s system performance. As a result, the Shojinka method is effective to reduce wastes and enhance system performance to have a more fluently production process. And for the managerial level, this research provides a method to decide operator number in the dyeing workstation depends on different customer’s demand.