Using GA &ABC Analysis Compere Safe Inventory Difference for Optimal Inventory Model

• Main Authors: Meng-Tes Tsai, 蔡孟澤
• Other Authors: Chien Chung Chen
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/25747336923874342558

碩士 === 嶺東科技大學 === 資訊管理與應用研究所 === 99 === That study, Small and Medium-Sized Enterprises as the research object. Using Genetic Algorithms(GA) and ABC Analysis for material classification management and reorder point optimization. That study of Genetic Algorithms(GA) and ABC analysis to classification method and optimize the solution, and statistics of the weekly consumption of materials required for use. Genetic Algorithms(GA) to simulate the new reorder point range and the traditional model of ABC Analysis to compare, Observed differences between the two modes. This research contains a new Variance to increase Cushion time on reorder point. On service standards were set at 0.95 and 0.8 and 0.6, Buffer stock is set to 5% and 10%.By different service levels and buffer stock compared with the simulation. Because of this study, the lack of materials inventory management to reduce the risk of the occurrence probability of improving the shortcomings of the traditional model, to give businesses a new decision-making model.