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Growing Science » Journal of Project Management » Introduction to the multi-skilled resource constrained multi project and multi type scheduling problem

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Journal of Project Management
ISSN 2371-8374 (Online) - ISSN 2371-8366 (Print)
Quarterly Publication
Volume 11 Issue 1 pp. 301-316, 2026

Introduction to the multi-skilled resource constrained multi project and multi type scheduling problem Pages 301-316 Right click to download the paper Download PDF

Authors: Yasemin Arici, Semih Eren Karakiliç, Declan Oconnor, Andreas Thümme

📋 Author Affiliations:
Y. Arici1, S.E. Karakiliç1, D. O'connor2, A. Thümmel3
1 Department of Mathematics and Natural Science, Darmstadt University of Applied Sciences, Schoefferstraße 3, Hesse, Darmstadt, 64295, Germany, Department of Mathematics, Munster Technological University, Bishopstown, Cork, Ireland, Germany
2 Department of Mathematics, Munster Technological University, Bishopstown, Cork, Ireland
3 Department of Mathematics and Natural Science, Darmstadt University of Applied Sciences, Schoefferstraße 3, Hesse, Darmstadt, 64295, Germany
doi 10.5267/j.jpm.2025.9.003
2 Source: Scopus
Crossref Source: CrossRef

🔑 Keywords: Backward scheduling, Forward scheduling, Random Heuristic, Maximizing NPV, Multi-Project approach, Priority Rules

Abstract: In this paper, we extend the multi-skilled resource-constrained multi-project scheduling problem (MSRCMPSP) by introducing the concept of multiple project types (MSRCMPMTSP). The study considers two categories of projects: investment projects, which generate positive net present values (NPVs), and mandatory projects, which result in negative NPVs but are required to be executed. To solve this problem, we employ a priority rule-based heuristic approach. Specifically, forward scheduling is applied to projects expected to yield positive NPVs, whether they are optional or mandatory. In contrast, backward scheduling is used for projects with negative NPVs, as this strategy minimizes the impact of excessive negative NPVs. The dataset for this study is constructed using the design of experiments (DoE) methodology, enabling a comprehensive evaluation of the proposed heuristic. We compare the performance of our approach against randomly generated schedules through extensive simulations. The results indicate that the heuristic is effective in addressing the MSRCMPMTSP.

How to cite this paper
APA: Arici, Y., Karakiliç, S., Oconnor, D & Thümme, A. (2026). Introduction to the multi-skilled resource constrained multi project and multi type scheduling problem. Journal of Project Management, 11(1), 301-316.
Chicago/Turabian: Arici, Y., Karakiliç, S., Oconnor, D & Thümme, A. 2026. "Introduction to the multi-skilled resource constrained multi project and multi type scheduling problem." Journal of Project Management 11, no. 1 (2026): 301-316.
AMA: Arici, Y., Karakiliç, S., Oconnor, D & Thümme, A. Introduction to the multi-skilled resource constrained multi project and multi type scheduling problem. Journal of Project Management. 2026;11(1):301-316.

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📚 Journal: Journal of Project Management | 📅 Year: 2026 | 📖 Volume: 11 | 📄 Issue: 1 | 👁️ Views: 314 | 📊 Crossref:

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