The Review of Variants and Extensions of Multi-mode Resource Constrained Problems
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Date
2025
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Publisher
Springer Science and Business Media Deutschland GmbH
Open Access Color
Green Open Access
No
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Publicly Funded
No
Abstract
Exploring the diverse extensions of the Resource-Constrained Project Scheduling Problem (RCPSP) this survey emphasizes the multi-mode variants an area that has seen significant interest. RCPSP a well-established problem in project scheduling focuses on optimizing activity schedules under precedence and resource constraints. Despite its prevalence in research the foundational RCPSP model’s restrictive assumptions often fall short in complex practical applications. Addressing these gaps the overview delves into the various developed extensions of the basic RCPSP framework. Classifications are made according to key structural aspects: Enhancements in activity concepts and broader interpretations of resource constraints. Additionally libraries that contain multi-mode RCPSP benchmark instances are explained in detail. Particular attention is given to multi-mode extensions of RCPSP. The objective is to present a detailed current perspective on multi-mode extensions in RCPSP. © 2025 Elsevier B.V. All rights reserved.
Description
Keywords
Benchmark Instances, Multi-mode, Rcpsp, Resource Constraints, Scheduling, Optimization, Project Management, Benchmark Instance, Constrained Problem, Multi-mode Resource-constrained Project Scheduling Problem, Multimodes, Precedence Constraints, Problem Models, Project Scheduling, Resource Constraint, Resource-constrained Project Scheduling Problem, Structural Aspects, Benchmarking, Optimization, Project management, Benchmark instance, Constrained problem, Multi-mode resource-constrained project scheduling problem, Multimodes, Precedence constraints, Problem models, Project scheduling, Resource Constraint, Resource-constrained project scheduling problem, Structural aspects, Benchmarking, Multi-mode, Scheduling, RCPSP, Benchmark Instances, Resource Constraints
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OpenCitations Citation Count
N/A
Source
5th International Conference on Data Analytics and Management ICDAM 2024
Volume
1298 LNNS
Issue
Start Page
463
End Page
477
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