A Hyper-Heuristic to Sequencing Mixed-models on Assembly-lines Minimizing Work Overload

摘要：

There are different approaches for the mixed-model assembly-lines sequencing problem. In this paper the goal of minimizing work overload is treated. This approach considers the existence of time windows in each work station. Different versions of a product are considered to be assembled in the line (e.g. car industry), which require different processing time according to the work required in each work station. Long sequences of rich-work products can lead to produce work overload when stations cannot fulfil all the assigned tasks. Since solve this problem optimally is difficult, we test local search and a hyperheuristic procedure. A computational experiment is used to detect the performance of the proposed procedures.

关键词： Hyper-heuristic Scheduling Work Overload Local Search Priority Rules

作者: Joaquín BAUTISTA Jaime CANO

作者单位: NISSAN Chair,ETSEIB,Universitat Politècnica de Catalunya,Spain DEIO,Universitat Politècnica de Catalunya,Spain

会议类型: 国际会议

会议名称: 工业工程与系统管理2007年国际会议(International Conference on Industrial Engineering and Systems Management)(IESM 2007)

会议地点: 北京

会议语种:英文

在线出版日期: 2007-05-30（万方平台首次上网日期，不代表论文的发表时间）