THE FEASIBILITY ANALYSIS FOR A DYEING FACTORY ADOPTING ADVANCED PLANNING & SCHEDULING SYSTEM (APS) – A CASE STUDY OF A PIECE DYED KNITTING FABRIC DYEING FACTORY

• Main Authors: Yu-Hsun Kuan, 關宇珣
• Other Authors: Eric T.G. Wang
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/yp8q56

碩士 === 國立中央大學 === 資訊管理學系在職專班 === 106 === The textile industry in Taiwan has been progressing in the past 60 years; however, the fabric manufacturer has challenged dyeing factories for delaying the manufacturing process most of the time. This study attempts to identify the challenges that a dyeing factory has on manufacturing scheduling. Advanced Planning & Scheduling System (APS) is a scheduling system that can compute multiple factors to improve manufacturing efficiency. This study will evaluate the feasibility of adopting an APS to overcome the challenges. The research applies Leavitt’s Diamond Model and conducts a case study to identify the case company’s organizational structure, people’s responsibility, the manufacturing and the operating processes, the system-implementation history, the current scheduling logic that the company applies. The study also evaluates whether or not the current technology infrastructure can support the demand. Furthermore, the study further investigates if the APS is able to resolve the delay problem that the dyeing factory currently has, for helping the company make a solid decision on APS adoption. The results lead to several major findings. First, the delay problem the company is suffering has been caused by the insufficient capacity, and the remake has further over-loaded the capacity, leading to a vicious circle of delaying. The infrastructure and the database of the company are insufficient for automatically judge the color order depending on the depth, so it is not quite feasible for the company to adopt an APS currently. Instead, the company should build up more data basis, and further analyze the relationship between remake and various manufacturing factors that might interfere the scheduling. In the future, only when the infrastructure construction of information flow has been setup, can the scheduling be computed by simulation techniques, and the manager can do a relative more solid decision than before.