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Instance dataset for resource-constrained project scheduling with diverging material flows

Marco Gehring ORCID iD icon 1; Rebekka Volk ORCID iD icon 1; Frank Schultmann 1
1 Institut für Industriebetriebslehre und Industrielle Produktion (IIP), Karlsruher Institut für Technologie (KIT)


This dataset is motivated by the problem of scheduling a project with diverging material flows as presented in [1]. Diverging material flows are released during the execution of the project and are subject to limited processing and storage capacities. Typical examples are nuclear dismantling or other deconstruction/demolition projects, where large amounts of material must be classified, scanned for hazardousness, and processed accordingly. The problem setting is mathematically described as a resource-constrained project scheduling problem with cumulative resources (RCPSP/c). The RCPSP/c deals with finding a project schedule with minimal makespan that satisfies temporal, renewable resource, and cumulative resource constraints.

This dataset is described by a data article with the same name published in 'Data in Brief' [2]. The data article provides details about the naming of the instances and solutions, the instance generation procedure, the heuristic methods used for computing the solutions, and the mathematical problem formulation.

[1] M. Gehring, R. Volk, F. Schultmann, On the integration of diverging material flows into resource‐constrained project scheduling, Eur J Oper Res 303 (2022) 1071–1087. ... mehr

DOI: 10.17632/z9gfh66mj4.1
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Forschungsdaten
Publikationsdatum 03.05.2023
Identifikator KITopen-ID: 1000159499
Lizenz Creative Commons Namensnennung 4.0 International
Projektinformation NukPIaRStoR (BMBF, 15S9414A)
Schlagwörter Operations Research, Project Scheduling, Benchmarking
Art der Forschungsdaten Dataset
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