Apply Simulation to Solve a Final Assembly Scheduling with Potential Order and Price Influence

• Main Authors: Yu-Ting Chen, 陳豫庭
• Other Authors: Dah-Chuan Gong
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/46959571270116480318

碩士 === 中原大學 === 工業工程研究所 === 100 === With the impact of globalization of economic development, Taiwan's machine tool products sales patterns transferred from regional to global, and in order to quickly provide customers with appropriate services, companies extend the plant order allocation, capacity planning, inventory strategy and supplier's inventory strategy. So the scope of this study were to set aside from production, distribution orders, factory scheduling and inventory strategy extends to the suppliers of supply chain issues, resulting in the formation of a multi-stage production systems. The focus of this study is the machine tool industry. The MTS / CTO mixed mode of production environment, due to the high cost of machine tools, usually customers will only place an order after careful assessment and negotiations. This causes prolonged negotiations and is difficult for the supplier to predict the demands on potential orders. Facing the uncertainty with the orders, the enterprise cannot fully prepare its resources to satisfy the customers’ demands. Therefore, this study will use the final assembly scheduling, production planning and pre-production and the completion of the module, to shorten the lead time of waiting, and to address customer expectations quickly and shorten delivery time. In conclusion, this study will use the simulation to find solutions. First of all, adjust the new threshold to explore the impact of fluctuations in production costs, inventory costs, up to the cross rate and profit; Secondly, through the analysis of customer information to investigate the price flexibility effects on profits, and then take advantage of the FAS, FIFO, EDD calculated profits to explore the countermeasures to verify the results, to see whether they are in line with customer information analysis, so that this result can be a reference for enterprise’s’ decision making.