Simulation and process mining in a cross-docking system: a case study-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Simulation and process mining in a cross-docking system: a case study

Published:2023-12-09 Issue: Volume: Page:1-24
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Shams-Shemirani Sadaf¹^ORCID,Tavakkoli-Moghaddam Reza²^ORCID,Amjadian Alireza³^ORCID,Motamedi-Vafa Bahar⁴^ORCID

Affiliation:

1. Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran

2. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

3. Department of Industrial Engineering, Faculty of Engineering, Dalhousie University, Halifax, Canada

4. Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2023.2281665

Reference64 articles.

1. Abohamad W. A. Ramy and A. Arisha. 2017 December. “A Hybrid Process-Mining Approach for Simulation Modeling.” In 2017 Winter Simulation Conference (WSC) 1527–1538. IEEE.

2. Concurrent manual-order-picking warehouse design: a simulation-based design of experiments approach

3. A bi-objective truck scheduling problem in a cross-docking center with probability of breakdown for trucks

4. An integrated reliable five-level closed-loop supply chain with multi-stage products under quality control and green policies: generalised outer approximation with exact penalty

5. Automated Discovery of Process Models from Event Logs: Review and Benchmark;Augusto A.;IEEE Transactions on Knowledge and Data Engineering,2018

Cited by 1 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. Experimental study on short-text clustering using transformer-based semantic similarity measure;PeerJ Computer Science;2024-05-29

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