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<front>
<journal-meta>
<journal-id journal-id-type="publisher">global-journal-of-research-in-engineering-j-general-engineering</journal-id>
<journal-title-group>
<journal-title>Global Journal of Research in Engineering - J: General Engineering</journal-title>
</journal-title-group>
<issn publication-format="print">0975-5861</issn>
<issn publication-format="electronic">2249-4596</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
<self-uri xlink:href="https://globaljournals.org/journal-seo-export/jats/74105.xml" />
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<article-meta>
<article-id pub-id-type="publisher-id">74105</article-id>
<title-group>
<article-title>A Survey of Generator Maintenance Scheduling Techniques</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Klahid</surname><given-names>Dr. Al-Arfaj</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
<contrib contrib-type="author"><name><surname>Ioannis</surname><given-names>Karamitsos</given-names></name></contrib>
</contrib-group>
<aff id="aff1">GREECE, Rayadah Investement Company</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2012-01-15">
<day>15</day>
<month>01</month>
<year>2012</year>
</pub-date>
<volume>12</volume>
<issue>J1</issue>
<fpage>11</fpage>
<lpage>17</lpage>
<abstract><p>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.</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>Maintenance</kwd>
<kwd>Scheduling</kwd>
<kwd>Mathematical Heuristics Techniques.</kwd>
</kwd-group>
<self-uri content-type="pdf" xlink:href="https://globaljournals.org/GJRE_Volume12/2.%20A%20Survey%20of%20Generator%20Maintenance.pdf" />
<self-uri content-type="html" xlink:href="https://globaljournals.org/scholarly-articles/a-survey-of-generator-maintenance-scheduling-techniques/" />
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<title>Full Text</title>
<p>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.</p>
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