Production Planning of a Food Processing Manufacturer under the Stochastic Demand Conditions

• Main Authors: Fang-Yi Tseng, 曾方儀
• Other Authors: Ping-Shun Chen
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/69114416661082767640

碩士 === 中原大學 === 工業與系統工程研究所 === 101 === This research studies a tomato-food-processing manufacturer as a case study. The case manufacturer faces high competitive international and domestic markets and high demand fluctuation issues. Due to the demand uncertainty, the case manufacturer cannot produce appropriate amounts of products. Therefore, the objective of this research is to determine the optimal production quantity based on production capacity constraints in order to satisfy the customer demand. This research uses the historical data to fit the demand distribution of products. Then, this study adopts the chance constrained programming (CCP) to handle the demand uncertainty and constructs a mathematical model in order to obtain an optimal production planning. This research applies the ILOG software to solve the proposed problem. The results show that using CCP can transform the probabilistic constraint to the deterministic constraint and a faster and optimal production planning can be obtained.