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A NEW PRODUCTION SCHEDULING MODULE USING PRIORITY-RULE BASED GENETIC ALGORITHM

Aydemir, E.; Koruca, H., I


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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/79795</identifier>
  <creators>
    <creator>
      <creatorName>Aydemir, E.</creatorName>
      <givenName>E.</givenName>
      <familyName>Aydemir</familyName>
      <affiliation>Suleyman Demirel Univ, Fac Engn, Dept Ind Engn, TR-32260 Isparta, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Koruca, H., I</creatorName>
      <affiliation>Suleyman Demirel Univ, Fac Engn, Dept Ind Engn, TR-32260 Isparta, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>A New Production Scheduling Module Using Priority-Rule Based Genetic Algorithm</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2015</publicationYear>
  <dates>
    <date dateType="Issued">2015-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/79795</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.2507/IJSIMM14(3)7.299</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Production scheduling is an important function that determines the efficiency and productivity of a production system. Many optimization methods, techniques, tools, and heuristics have been used to solve production scheduling problems, accordingly priority rules are implemented for customers' orders in real-world applications. Simulations and heuristic methods are quite useful for making decisions, and they are used mostly to design and improve production systems by reducing their complexity. In this study, a Priority Rule-Based Genetic Algorithm Scheduling (PRGA-Sched) module was developed to provide shorter total completion time in production scheduling. The module was integrated with the Faborg-Sim simulation tool. As a case study, a heating boiler manufacturing system was analyzed and simulated with six products and customers' orders by using production data from the PRGA-Sched module in Faborg-Sim. The results showed that a shorter total completion time is obtained and saved than the initial situation by via PRGA-Sched module.</description>
  </descriptions>
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