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带有限缓冲区的可重入混合流水车间调度研究

LUO Yabo LIU Sha ZHANG Feng LI Cunrong

华中科技大学学报(自然科学版)2025,Vol.53Issue(12):20-27,8.
华中科技大学学报(自然科学版)2025,Vol.53Issue(12):20-27,8.DOI:10.13245/j.hust.251203

带有限缓冲区的可重入混合流水车间调度研究

Research on re-entrant hybrid flow shop scheduling with limited buffer

LUO Yabo 1LIU Sha 1ZHANG Feng 1LI Cunrong1

作者信息

  • 1. School of Mechanical and Electrical Engineering,Wuhan University of Technology,Wuhan 430070,China
  • 折叠

摘要

Abstract

Aiming at the problem of frequent machine occupancy and limited number of buffers in re-entrant manufacturing systems,a re-entrant hybrid flow shop scheduling problem considering limited buffers(RHFSP-LB)model was constructed,and a shared storage area was set up to solve the problem that the work-in-process inventory exceeded the capacity of the machine buffers.A multi-objective optimization model was established with the objectives of minimizing the maximum completion time,buffer occupancy equilibrium index,and machine load extremum for the characteristics of the RHFSP-LB problem.An improved multi-objective memetic algorithm(IMOMA)was designed,along with a two-layer encoding scheme for workpieces and machines and a decoding strategy that took into account a secondary buffering mechanism.Differentiated genetic operators were designed for encoding features at different levels.During the local search process,a multi-objective variable neighborhood search strategy was adopted and external archive sets were integrated for updating.Extensive computational experiments conducted on various-scale test instances show the efficacy of the proposed methodology for addressing the RHFSP-LB problem.

关键词

可重入混合流水车间/有限缓冲区/生产调度/多目标文化基因算法/变邻域搜索

Key words

re-entrant hybrid flow shop/limited buffer/production scheduling/multi-objective memetic algorithm/variable-neighborhood search

分类

机械制造

引用本文复制引用

LUO Yabo,LIU Sha,ZHANG Feng,LI Cunrong..带有限缓冲区的可重入混合流水车间调度研究[J].华中科技大学学报(自然科学版),2025,53(12):20-27,8.

基金项目

国家自然科学基金资助项目(51875430). (51875430)

华中科技大学学报(自然科学版)

OA北大核心

1671-4512

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