A Survey of Generator Maintenance Scheduling Techniques

1
Dr. Al-Arfaj Klahid
Dr. Al-Arfaj Klahid
2
Karamitsos Ioannis
Karamitsos Ioannis
1 Rayadah Investement Company

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Many maintenance-scheduling methods have been proposed using conventional mathematical programming methods or heuristic techniques. Heuristic approaches provide the most primitive solution based on trial-and-error approaches. Mathematical optimization based techniques are completely distinct from classical programming and trial-and-error heuristic methods. These techniques have been proposed to solve small maintenance scheduling problems. In this paper we explain the difference between both methods in solving generator maintenance scheduling (GMS) problem.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Not applicable for this article.

Dr. Al-Arfaj Klahid. 2012. \u201cA Survey of Generator Maintenance Scheduling Techniques\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 12 (GJRE Volume 12 Issue J1): .

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Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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April 3, 2012

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English

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Many maintenance-scheduling methods have been proposed using conventional mathematical programming methods or heuristic techniques. Heuristic approaches provide the most primitive solution based on trial-and-error approaches. Mathematical optimization based techniques are completely distinct from classical programming and trial-and-error heuristic methods. These techniques have been proposed to solve small maintenance scheduling problems. In this paper we explain the difference between both methods in solving generator maintenance scheduling (GMS) problem.

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A Survey of Generator Maintenance Scheduling Techniques

Dr. Al-Arfaj Klahid
Dr. Al-Arfaj Klahid Rayadah Investement Company
Karamitsos Ioannis
Karamitsos Ioannis

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