Multi-objective optimization of greening scheduling problems of part feeding for mixed model assembly lines based on the robotic mobile fulfillment system
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-05761-w.pdf
Reference60 articles.
1. Djelloul I, Sari Z, Souier M (2019) Fault isolation in manufacturing systems based on learning algorithm and fuzzy rule selection. Neural Comput Appl 31:3211–3225
2. Zhou BH, Shen CY (2018) Multi-objective optimization of material delivery for mixed model assembly lines with energy consideration. J Clean Prod 192:293–305
3. Lee S, Prabhu VV (2016) Just-in-time delivery for green fleets: a feedback control approach. Transp Res Transp Environ 46:229–245
4. Luo Q, Wang H, Zheng Y et al (2020) Research on path planning of mobile robot based on improved ant colony algorithm. Neural Comput Appl 32:1555–1566
5. Kishawy HA, Hegab H, Saad E (2018) Design for sustainable manufacturing: approach, implementation, and assessment. Sustainability 10:1–15
Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A multipopulation grasshopper algorithm for multiobjective material distribution scheduling problem of assembly line with flexible line inventory;Robotic Intelligence and Automation;2024-08-22
2. A knowledge-guided Estimation of Distribution Algorithm for energy-efficient Joint Robotic Assembly Line Balancing and Feeding Problem;Swarm and Evolutionary Computation;2024-07
3. A mutli-objective artificial electric field algorithm with reinforcement learning for milk-run assembly line feeding and scheduling problem;Computers & Industrial Engineering;2024-04
4. Robotic Mobile Fulfillment System: A Systematic Review;IEEE Access;2024
5. Iterated-local-search-based chaotic differential evolution algorithm for hybrid-load part feeding scheduling optimization in mixed-model assembly lines;Engineering Computations;2023-11-07
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3