Available-to-Promise and Material Constraints by Building the Scheduling System

• Main Authors: Chen-Yu Liu, 劉宸羽
• Other Authors: 林金賢
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/94447312513232206619

碩士 === 國立中興大學 === 高階經理人碩士在職專班 === 99 === This study mainly investigates supply chain management of available-to-promise order quantity and the delivery efficiency for electronic ballast production process. We aim at improving the production process on a basis of advanced planning and scheduling (APS). In this study, case study is adopted. The case company failed to promise customer order and to deliver on time because the short-term production schedule they used was not able to meet the stock plan, delivery schedule and the changing orders, which caused a plenty of loss on time cost for re-schedule as well as labor cost. The case company encountered production resource integration problem with production planning and scheduling; thus, a new and adequate production planning and scheduling system has to be developed in order to solve their production problem. The case company manually controlled production schedule; however, the frequent changing delivery dates between customer orders and suppliers’ material lead to inflexible order schedule adjustment and time-consuming labor arrangement plan. A production line re-scheduling system was developed to replace the manual production planning. It can simulate production line schedule and use metheuristic to cluster model category by group technology. With systematic production combination, it will reduce the program calculation time. The study proved that metheuristic program simulation is able to improve the delay order problem and reduce the time of production line changeover. Therefore, the assumed results are all supported. The result indicates that though the capacity utility of each production section calculated by computer program, it can find the best solution by adjusting the adequate number of people for each section and by calculating the needed overwork hours to reduce unnecessary cost.