工业工程 ›› 2020, Vol. 23 ›› Issue (2): 83-90.doi: 10.3969/j.issn.1007-7375.2020.02.011

• 专题论述 • 上一篇    下一篇

考虑余-废料资源回收的车间物料配送路径规划研究

张守京1,2, 张仪1,2   

  1. 西安工程大学 1.机电工程学院;
    2. 西安市现代智能纺织装备重点实验室, 陕西 西安 710048
  • 收稿日期:2019-12-12 发布日期:2020-04-22
  • 作者简介:张守京(1976-),男,辽宁省人,副教授,博士,主要研究方向为生产管理与系统优化、制造业信息化工程技术、物流工程与供应链管理
  • 基金资助:
    陕西省教育厅科研计划资助项目(17JK0321);中国纺织工业联合会资助项目(2017100);科技创新平台建设工程/重点实验室建设资助项目(2019220614SYS021CG043)

A Research on Distribution Planning of Material Distribution in Workshop Considering Residual-waste Resource Recovery

ZHANG Shoujing1,2, ZHANG Yi1,2   

  1. 1. School of Mechanical and Electrical Engineering;
    2. Xi’an Key Laboratory of Modern Intelligent Textile Equipment, Xi’an Polytechnic University, Xi’an 710048, China
  • Received:2019-12-12 Published:2020-04-22

摘要: 针对离散制造生产过程中物料配送及余-废料资源回收效率低、成本高等问题,在分析车间物料流循环过程基础上结合物料配送时间窗限制,提出了物料配送和余-废料资源回收协同优化的物料再循环策略,并建立了以车间物料流总成本为目标的物料再循环路径规划模型。利用遗传算法在Matlab软件中对实例进行求解,验证了物料再循环策略应用于离散制造车间物料配送和余-废料资源回收的可行性和有效性。

关键词: 再循环策略, 物料配送, 余-废料资源回收, 遗传算法, 路径规划

Abstract: Aiming at the problems of low efficiency and high cost of material distribution and residual-waste resource recovery in discrete manufacturing processes and combining the material delivery time window limit based on the analysis of the material flow cycle process, a material recycling strategy for co-optimization of material distribution and residual-waste resource recovery is proposed, and a material recycling path planning model established considering the total cost of the material flow in the workshop. The genetic algorithm is used to solve the example in Matlab software. The feasibility and effectiveness of material recycling strategy in material distribution and residual-waste resource recovery in discrete manufacturing workshops are verified.

Key words: recycling strategy, material distribution, residual-waste resource recovery, genetic algorithm, path planning

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