A bi-objective robust resource allocation model for the RCPSP considering resource transfer costs-Reference-Cited by-同舟云学术

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A bi-objective robust resource allocation model for the RCPSP considering resource transfer costs

Published:2019-11-27 Issue:2 Volume:59 Page:367-387
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Wang Jianjiang¹,Hu Xuejun²^ORCID,Demeulemeester Erik³,Zhao Yan⁴

Affiliation:

1. School of Systems Engineering, National University of Defense Technology, Changsha, People’s Republic of China

2. Business School, Hunan University, Changsha, People’s Republic of China

3. Research Center for Operations Management, Faculty of Economics and Business, KU Leuven, Leuven, Belgium

4. School of Business Administration, Zhongnan University of Economics and Law, Wuhan, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2019.1695168

Reference46 articles.

1. A bi-objective model for robust resource-constrained project scheduling

2. Robust optimization for resource-constrained project scheduling with uncertain activity durations

3. Insertion techniques for static and dynamic resource-constrained project scheduling

4. An exact -constraint method for bi-objective combinatorial optimization problems: Application to the Traveling Salesman Problem with Profits

5. Buffer sizing approach with dependence assumption between activities in critical chain scheduling

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1. Co-evolution genetic programming-based hyper-heuristics for the stochastic project scheduling problem with resource transfer and idle costs;Swarm and Evolutionary Computation;2024-10

2. Solving the project scheduling problem with dependent resource constraints;Journal of Industrial and Production Engineering;2024-08-02

3. Surrogate-assisted cooperative learning genetic programming for the resource-constrained project scheduling problem with stochastic activity durations and transfer times;Computers & Operations Research;2024-08

4. Metaheuristics for the bi-objective resource-constrained project scheduling problem with time-dependent resource costs: An experimental comparison;Computers & Operations Research;2024-03

5. A robust multi-project scheduling problem under a resource dedication-transfer policy;Annals of Operations Research;2024-02-21

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