A comprehensive review of robotic assembly line balancing problem
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10845-020-01641-7.pdf
Reference45 articles.
1. Aghajani, M., Ghodsi, R., & Javadi, B. (2014). Balancing of robotic mixed-model two-sided assembly line with robot setup times. The International Journal of Advanced Manufacturing Technology, 74(5–8), 1005–1016.
2. Battaïa, O., & Dolgui, A. (2013). A taxonomy of line balancing problems and their solution approaches. International Journal of Production Economics, 142(2), 259–277.
3. Baybars, I. (1986). A survey of exact algorithms for the simple assembly line balancing problem. Management Science, 32(8), 909–932.
4. Becker, C., & Scholl, A. (2006). A survey on problems and methods in generalized assembly line balancing. European Journal of Operational Research, 168(3), 694–715.
5. Borba, L., Ritt, M., & Miralles, C. (2018). Exact and heuristic methods for solving the robotic assembly line balancing problem. European Journal of Operational Research, 270(1), 146–156.
Cited by 52 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 line balancing problem with parallel workers and cycle time minimization;INFOR: Information Systems and Operational Research;2024-09
2. Human-Robot Collaboration in Mixed-Flow Assembly Line Balancing under Uncertainty: An Efficient Discrete Bees Algorithm;Journal of Industrial Information Integration;2024-09
3. Three‐layer deep learning network random trees for fault detection in chemical production process;The Canadian Journal of Chemical Engineering;2024-08-19
4. Robotic assembly systems planning and scheduling problems: A review;INT J IND ENG COMP;2024
5. Balancing assembly lines with industrial and collaborative robots: Current trends and future research directions;Computers & Industrial Engineering;2024-07
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