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An efficient pseudo-polynomial algorithm for finding a lower bound on the makespan for the Resource Constrained Project Scheduling Problem
- Source :
- European Journal of Operational Research, European Journal of Operational Research, Elsevier, 2019, 275 (1), pp.35-44. ⟨10.1016/j.ejor.2018.11.005⟩
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- International audience; Several algorithms for finding a lower bound on the makespan for the Resource Constrained Project Scheduling Problem (RCPSP) were proposed in the literature. However, fast computable lower bounds usually do not provide the best estimations and the methods that obtain better bounds are mainly based on the cooperation between linear and constraint programming and therefore are time-consuming. In this paper, a new pseudo-polynomial algorithm is proposed to find a makespan lower bound for RCPSP with time-dependent resource capacities. Its idea is based on a consecutive evaluation of pairs of resources and their cumulated workload. Using the proposed algorithm, several bounds for the PSPLIB benchmark were improved. The results for industrial applications are also presented where the algorithm could provide good bounds even for very large problem instances.
- Subjects :
- Information Systems and Management
General Computer Science
Computer science
Resource constrained
0211 other engineering and technologies
02 engineering and technology
Management Science and Operations Research
Upper and lower bounds
Industrial and Manufacturing Engineering
Scheduling (computing)
Project scheduling problem
0502 economics and business
Constraint programming
050210 logistics & transportation
RCPSP
021103 operations research
Job shop scheduling
Scheduling
05 social sciences
Workload
[INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO]
Lower bounds
Schedule (project management)
Pseudo-polynomial time
Pseudo-polynomial algorithms
Modeling and Simulation
Project scheduling
Recherche opérationnelle
Algorithm
Subjects
Details
- ISSN :
- 03772217
- Volume :
- 275
- Database :
- OpenAIRE
- Journal :
- European Journal of Operational Research
- Accession number :
- edsair.doi.dedup.....ff2f8d57a643d5e6e8a7fcb4269c2f30
- Full Text :
- https://doi.org/10.1016/j.ejor.2018.11.005