Reactive project scheduling: minimizing delays in the completion times of projects
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Projects are delayed due to so many reasons. Salient amongst these reasons, in our opinion, is lack of proper planning before the commencement of the project. Many methods exist for the minimization of the completion times of projects. Some methods formulate the problem as resource-constrained project-scheduling problems (RCPSPs) and minimization of project completion time as objective. They find the minimal schedule that minimizes the total completion time of a project while satisfying the precedence and the resource constraints. The basic RCPSP assumes that the renewable resources are periodically renewed and their limited amount can vary from one period to another. The variability of available resource reflects real-life situations. Therefore, with added assumptions to the basic RCPSP, this work proposes a model called hybrid-RCPSP to solve delays in projects. Experimentally, two project examples were used to validate our solution method and it was shown that no matter how small the provided amount for each period, the projects were not unnecessarily delayed.
KeywordsProject scheduling Resource constraints Network analysis Priority rules Schedule generation scheme
The authors are grateful to the Covenant University Center for Research Innovation and Development (CUCRID), Covenant University, Ota, Nigeria for sponsoring the publication of this article.
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Conflict of interest
On behalf of all authors, there is no conflict of interest.
- Adamu, P. I., Agarana M. C., & Okagbue H. I., (2018). Machine learning heuristic for solving multi-mode resource-constrained project scheduling problems. Lecture Notes in Engineering and Computer Science: Proceedings of the International Multi-Conference of Engineers and Computer Scientists, IAENG, Hong Kong (Vol. 1, pp. 23–28), http://www.iaeng.org/publication/IMECS2018/IMECS2018_pp23-28.pdf.
- Habibi, F., Barzinpour, F., & Sadjadi, S. (2018). Resource-constrained project scheduling problem: Review of past and recent developments. Journal of Project Management, 3(2), 55–88.Google Scholar
- Kadam, S. U., & Mane, S. U. (2015). A genetic-local search algorithm approach for resource constrained project scheduling problem. In International Conference on Computing Communication Control and Automation, PUNE (pp. 841–846). https://doi.org/10.1109/iccubea.2015.168.
- Kolisch, R., & Drexl, A. (1997). Local search for non-preemptive multi-mode resource constrained project scheduling. IIE Transactions, 29, 987–999.Google Scholar
- Mohammad, S. H., Mohammad, R. A., & Yagub, A. (2015). An efficient genetic algorithm for solving the multi-mode resource-constrained project scheduling problem based on random key representation. International Journal of Supply and Operations Management, 2(3), 905–924.Google Scholar
- Okagbue, H. I., Iroham, C. O., Peter, N. J., Owolabi, J. D., Adamu, P. I., Opanuga, A. A., et al. (2018). Systematic review of building failure and collapse in Nigeria. International Journal of Civil Engineering and Technology, 9(10), 1391–1401.Google Scholar
- Vanhoucke M. (2016) Scheduling TECHNIQUES. In Integrated project management sourcebook: A technical guide to project scheduling, risk and control (pp. 43–105). Cham: Springer.Google Scholar