工业工程 ›› 2017, Vol. 20 ›› Issue (3): 53-59.doi: 10.3969/j.issn.1007-7375.e16-1121

• 实践与应用 • 上一篇    下一篇

冷柜门体混流装配线排序问题研究

江新利, 苏平, 戚留举   

  1. 广东工业大学 机电工程学院, 广东 广州 510006
  • 收稿日期:2016-05-05 出版日期:2017-06-30 发布日期:2017-07-12
  • 作者简介:江新利(1993-),女,河北省人,硕士研究生,主要研究方向为装配线排序、生产调度与计划
  • 基金资助:
    国家自然科学基金资助项目(71402033)

A Study of Mixed-model Assembly Line Sequencing Problem of Freezer Door

JIANG Xinli, SU Ping, QI Liuju   

  1. School of Electro-mechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2016-05-05 Online:2017-06-30 Published:2017-07-12

摘要: 以某冷柜公司门组生产系统为对象,研究了具有有限缓冲的两生产阶段排序问题,考虑该车间的发泡设备约束,分别对预装线投产排序与发泡线模具排序进行研究,以使得预装线与发泡线的运行尽可能匹配,有效地减少了发泡模具空模数量与在制品库存数量。特别设计库存量计算算法来计算空模数量与在制品库存数量,通过改进遗传算法分别求解两个阶段的排序方案。最后通过案例分析及算例对比验证了算法的有效性。

关键词: 混流装配线, 排序, 库存量计算算法, 遗传算法

Abstract: With a freezer door production system of a freezer company as an object,two production scheduling problems with limited buffer are studied.Considering the foaming equipment constraints of this workshop,research is conducted respectively on sequencing of production in the pre-assembly line and that of mould in the foaming line,in order to make the pre-assembly line match with the foaming line as much as possible,thus effectively reducing the number of empty foaming moulds and that of the average work-in-process inventory.Special inventory algorithms are designed to calculate the number of empty foaming moulds and that of average work-in-process inventory,and to respectively solve the two stages through the improved genetic algorithms.Finally,a case analysis with numerical examples verifies the effectiveness of the algorithms.

Key words: mixed-model assembly line, sequencing, inventory algorithms, genetic algorithms

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