Efficiency analysis for stochastic dynamic facility layout problem using meta‐heuristic, data envelopment analysis and machine learning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Efficiency analysis for stochastic dynamic facility layout problem using meta‐heuristic, data envelopment analysis and machine learning

Published:2019-11-07 Issue:1 Volume:36 Page:172-202
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Tayal Akash¹,Kose Utku²^ORCID,Solanki Arun³,Nayyar Anand⁴^ORCID,Saucedo José Antonio Marmolejo⁵^ORCID

Affiliation:

1. Department of Electronic and CommunicationIndira Gandhi Delhi Technical University for Women Delhi India

2. Department of Computer EngineeringSuleyman Demirel University Isparta Turkey

3. Department of CSE, School of ICTGautam Buddha University Greater Noida India

4. Graduate SchoolDuy Tan University Da Nang Vietnam

5. Faculty of EngineeringUniversidad Panamericana CDMX Mexico

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/coin.12251

Reference52 articles.

1. A robustness approach to facilities design

2. The facility layout problem

3. The facility layout problem: Recent and emerging trends and perspectives

4. Assignment Problems and the Location of Economic Activities

Cited by 21 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 Novel Approach for Material Handling-Driven Facility Layout;Mathematics;2024-08-18

2. Multi-agent cooperative swarm learning for dynamic layout optimisation of reconfigurable robotic assembly cells based on digital twin;Journal of Intelligent Manufacturing;2024-01-17

3. Grid-Based Dynamic Facility Layout Problem with Irregular Shaped Facilities and Obstacles: A Genetic Algorithm;2024

4. Data driven approach for weight restricted data envelopment analysis models with single output;Journal of Turkish Operations Management;2023-12-29

5. Scientometric review and analysis of recent approaches to stock market forecasting: Two decades survey;Expert Systems with Applications;2023-03

同舟云学术

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