计算机工程与应用2025，Vol.61Issue(11)：51-66,16.DOI:10.3778/j.issn.1002-8331.2410-0392
基于最优化的拆卸序列规划研究进展
Research Progress on Optimization-Based Disassembly Sequence Planning
摘要
Abstract
Disassembly sequence planning,as the first step to achieve product recycling,plays a decisive role in the quality and efficiency of recycling waste products.This paper addresses the three core issues of modelling methods,solution algorithms and uncertainty handling methods in demolition sequence planning.Firstly,the current mainstream modelling approaches for disassembly sequences and the disassembly scenarios tackled by various modelling approaches are collated and analyzed.Secondly,from the perspective of decision solving,the characteristics of three different solving methods,namely mathematical planning methods,intelligent optimization algorithms and reinforcement learning algorithms,as well as the challenges faced when making optimal decisions,are discussed.And the solving methods of single-objective optimization problems and multi-objective optimization problems in the field of disassembly are systematically analyzed.Thirdly,the strategies for dealing with uncertain disassembly problems in the disassembly process are summarized.The advantages and disadvantages of the different strategies are analyzed.Finally,the current state of research on disassembly sequence planning is summarized,and future research directions are discussed.关键词
拆卸序列规划/回收再利用/智能优化/强化学习/不确定性优化Key words
disassembly sequence planning/recycling/intelligent optimization/reinforcement learning/uncertainty optimization分类
计算机与自动化引用本文复制引用
郭洪飞,傅文杰,李雷孝,林浩..基于最优化的拆卸序列规划研究进展[J].计算机工程与应用,2025,61(11):51-66,16.基金项目
国家自然科学基金(52465061) （52465061）
内蒙古自治区自然科学基金重点项目(2024ZD26) （2024ZD26）
教育部中国高校产学研创新基金重点项目(2021ITA05005) （2021ITA05005）
内蒙古自治区重点研发和成果转化计划项目(2023YFJM0007). （2023YFJM0007）
