Version 1
: Received: 1 April 2024 / Approved: 2 April 2024 / Online: 2 April 2024 (12:56:52 CEST)
How to cite:
Alhamad, K.; Alkhezi, Y. Hybrid Genetic Algorithm and Tabu Search for Solving Preventive Maintenance Scheduling Problem for Cogeneration Plants. Preprints2024, 2024040182. https://doi.org/10.20944/preprints202404.0182.v1
Alhamad, K.; Alkhezi, Y. Hybrid Genetic Algorithm and Tabu Search for Solving Preventive Maintenance Scheduling Problem for Cogeneration Plants. Preprints 2024, 2024040182. https://doi.org/10.20944/preprints202404.0182.v1
Alhamad, K.; Alkhezi, Y. Hybrid Genetic Algorithm and Tabu Search for Solving Preventive Maintenance Scheduling Problem for Cogeneration Plants. Preprints2024, 2024040182. https://doi.org/10.20944/preprints202404.0182.v1
APA Style
Alhamad, K., & Alkhezi, Y. (2024). Hybrid Genetic Algorithm and Tabu Search for Solving Preventive Maintenance Scheduling Problem for Cogeneration Plants. Preprints. https://doi.org/10.20944/preprints202404.0182.v1
Chicago/Turabian Style
Alhamad, K. and Yousif Alkhezi. 2024 "Hybrid Genetic Algorithm and Tabu Search for Solving Preventive Maintenance Scheduling Problem for Cogeneration Plants" Preprints. https://doi.org/10.20944/preprints202404.0182.v1
Abstract
Preventive Maintenance (PM) is a periodic maintenance strategy, which has great results for devices in extending their life, increasing productivity, and most importantly, help avoid unexpected breakdowns and their costly consequence. A preventive maintenance scheduling (PMS) is determining the time for carrying out PM, and it represents a sensitive issue in terms of impact on production if the time for the PM process is not optimally distributed. In this study, hybrid heuristic methods were used to solve the PMS problem, as genetic algorithm and Tabu research were adopted. The optimal solution was reached in a short time compared to previous studies in which optimal methods were used, integer programming and nonlinear integer programming. Also, sensitivity analysis was applied to measure the robustness and strength of the method used, where an optimal solution was obtained for all experiments and in record time. This method can be used for power plants in privet or public sectors, to generate an optimal PMS, to save money, and to avoid water or electricity cuts.
Computer Science and Mathematics, Discrete Mathematics and Combinatorics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
