Determining Safety Stocks, Regulating Forecasts, and Capacity Planning in ATO Environments

• Main Authors: Wen-Pai Wang, 王文派
• Other Authors: Hsi-Mei Hsu
• Format: Others
• Language: zh-TW
• Published: 2000
• Online Access: http://ndltd.ncl.edu.tw/handle/46605431516688458302

博士 === 國立交通大學 === 工業工程與管理系 === 88 === Demand uncertainty, product proliferation and shortening due date are major ingredients that result in material requirement planning difficulties for assemble-to-order (ATO) firms. To deal with the managerial problems of these challenges, managers generally adopt three strategies that include safety stock determination, demand forecast regulation, and key machine capacity planning. Thus, this study constructs demand driven material planning models that divide into three patterns, (1) fundamental models that do not consider product life cycle; (2) product life cycle based models that take into account the demand characteristics and cost structure associated with different stages in product life cycle; (3) possibilistic linear programming models for considering decision environment with fuzzy cost parameters. According to proposed models, production managers may reasonably regulate demand forecasts, determine the suitable component safety stock levels for absorbing the uncertainty of demands, as well as support an adequate capacity for final assembly.