Performance evaluation of scheduling policies for the dynamic and stochastic resource-constrained multi-project scheduling problem-Reference-Cited by-同舟云学术

Performance evaluation of scheduling policies for the dynamic and stochastic resource-constrained multi-project scheduling problem

Published:2020-12-26 Issue: Volume: Page:1-13
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Satic Ugur¹^ORCID,Jacko Peter¹^ORCID,Kirkbride Christopher¹^ORCID

Affiliation:

1. Lancaster University, Lancaster, UK

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2020.1857450

Reference25 articles.

1. From Project to Process Management: An Empirically-Based Framework for Analyzing Product Development Time

2. APM. 2018. “The State of Project Management Annual Survey 2018.” Accessed 12 November 2018. http://www.wellingtone.co.uk/wp-content/uploads/2018/05/The-State-of-Project-Management-Survey-2018-FINAL.pdf.

3. Resource-constrained multi-project scheduling: Priority rule performance revisited

4. Capa, Canan, and Gunduz Ulusoy. 2015. “Proactive project scheduling in an R&D department a bi-objective genetic algorithm.” 2015 International Conference on Industrial Engineering and Operations Management (IEOM), 1-6. Dubai: IEEE.

5. A Q-Learning-based method applied to stochastic resource constrained project scheduling with new project arrivals

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 matheuristic-oriented iterated greedy algorithm for multi-mode resource-constrained project scheduling problem under uncertainty;Computers & Industrial Engineering;2024-07

2. A chance-constrained optimization approach integrating project scheduling and material ordering to manage the uncertain material supply;Computers & Operations Research;2024-06

3. ENHANCING MEDICAL OFFICER SCHEDULING IN HEALTHCARE ORGANIZATIONS: A COMPREHENSIVE INVESTIGATION OF GENETIC AND GOOGLE OR TOOLS ALGORITHMS FOR MULTI-PROJECT RESOURCE-CONSTRAINED OPTIMIZATION;International Journal of 3D Printing Technologies and Digital Industry;2024-04-30

4. Dynamic scheduling of decentralized high-end equipment R&D projects via deep reinforcement learning;Computers & Industrial Engineering;2024-04

5. A heuristic rule adaptive selection approach for multi-work package project scheduling problem;Expert Systems with Applications;2024-03