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

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. ... mehrhttps://doi.org/10.1016/j.ejor.2022.03.047.

[2] M. Gehring, R. Volk, F. Schultmann, Instance dataset for resource-constrained project scheduling with diverging material flows, Data in Brief 48 (2023), Article No. 109279. https://doi.org/10.1016/j.dib.2023.109279.