Economic Lot Scheduling Problem with Allowable Shortage: A Multi-Objective Approach

摘要：

Economic lot scheduling problem (ELSP) in a multi-objective approach is surveyed in this study regarding deteriorating items and allowable shortage using extended basic period (EBP) approach under Power-of-Two (PoT) policy. The goal of this research is minimizing number of items stock out throughout each period and cost of such schedule, i.e. setup cost and holding cost including deteriorating factor. Two multi-objective algorithms, i.e., non-dominated sorting genetic algorithm (NSGAII) and nondominated ranking genetic algorithms (NRGA) is employed to approach this goal. Computational experiments demonstrate that these meta-heuristic multi-objective algorithms can solve such a problem with satisfactory results.

作者: V.Kayvanfar M.Zandieh I.Mahdavi

作者单位: Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran Department of Industrial Management, Management and Accounting Faculty, Shahid Beheshti University,

会议类型: 国际会议

会议名称: 2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management(2011 IEEE 第十八届工业工程与工程管理国际会议 IEEM2011)

会议地点: 长春

会议语种:英文

页码: 920-923

在线出版日期: 2011-09-03（万方平台首次上网日期，不代表论文的发表时间）