东北大学学报:自然科学版 ›› 2020, Vol. 41 ›› Issue (2): 258-264.DOI: 10.12068/j.issn.1005-3026.2020.02.019

• 机械工程 • 上一篇    下一篇

考虑能耗的混流装配线物料配送多目标调度方法

周炳海, 费芊然   

  1. (同济大学 机械与能源工程学院, 上海201804)
  • 收稿日期:2019-03-25 修回日期:2019-03-25 出版日期:2020-02-15 发布日期:2020-03-06
  • 通讯作者: 周炳海
  • 作者简介:周炳海(1965-),男,浙江浦江人,同济大学教授,博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(71471135).

Multi-objective Scheduling Algorithm for Mixed-Model Assembly Line Considering Energy Consumption

ZHOU Bing-hai, FEI Qian-ran   

  1. School of Mechanical Engineering, Tongji University, Shanghai 201804, China.
  • Received:2019-03-25 Revised:2019-03-25 Online:2020-02-15 Published:2020-03-06
  • Contact: ZHOU Bing-hai
  • About author:-
  • Supported by:
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摘要: 为了提高混流装配线物料配送的能源利用效率,考虑采用“转运”概念的送料机器人和线边集成超市配送模式,构建了存在换电情形的物料供应模型.结合送料机器人的能耗特点,以最小化送料机器人的使用数量和配送能耗为优化目标,建立了数学模型.在此基础上提出了变邻域搜索策略的改进型离散差分进化算法(VNS-MDDE),用以解决多目标优化问题;该算法以最近邻启发式方法构建初始解,并引入变邻域策略进行局部搜索以提高解的质量.最后通过仿真实验验证了算法的可行性和有效性.

关键词: 混流装配线, 送料机器人, 物料配送, 线边集成超市, 能源消耗, 多目标进化算法

Abstract: To improve the energy efficiency of parts feeding in mixed-model assembly line, mobile robots with “transfer” strategy and line-integrated supermarkets are considered, and parts feeding models with recharge situation are introduced. Combined with the energy consumption characteristics of robots, mathematical programming formulations are given with the aim to minimize the robots group scale and total energy consumption. On this basis, a modified multi-objective discrete differential evolutionary algorithm with variable neighborhood strategy is developed, where a nearest-neighbor heuristics constructs the initial solution and a variable neighborhood strategy as a local search procedure improves the quality of solutions generated. Finally, the feasibility and effectiveness of the as-proposed algorithm is validated by simulation results.

Key words: objective, interval particle, intervalmixed-model assembly line, mobile robot, part feeding; line-integrated supermarket; energy consumption, multi-objective evolutionary algorithm

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