Using a Novel Optimizing Genetic Algorithm to Measure the Enterprise Inventory Storage

摘要：

In the modern enterprise, zero inventory is the ideal state in the inventory management, especially to the innovative products, it can not only reduce costs but also promote the development of the new products. In order to forecast the enterprise inventory storage scientifically and accurately, this paper proposes the optimal model based on optimizing genetic algorithm. The model has the advantages of selflearning, self-organizing and self-adapting, avoids the subjective mistakes in the evaluation process, and improves the evaluating accuracy greatly. The inventory storage measurement of 5 representative enterprises in Shandong Province shows that the results given by this model are reliable, and this method to measure the inventory storage is effective and feasible.

关键词： Optimizing Genetic Algorithm Inventory Storage Measurement Model Indices System

作者: Jinliang Zhang Qingwei Duan Zhibin Liu

作者单位: College of Economics and Trade Agricultural University of Hebei Baoding City, Hebei Province, China Department of Economics and Management North China Electric Power University Baoding City, Hebei Pro

会议类型: 国际会议

会议名称: 2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)

会议地点: 南昌

会议语种:英文

页码: 615-618

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）