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dc.contributor.advisorYildirim, Mehmet Bayram
dc.contributor.authorGhazi Nezami, Farnaz
dc.date.accessioned2014-06-26T14:52:56Z
dc.date.available2014-06-26T14:52:56Z
dc.date.issued2013-12
dc.identifier.otherd13025
dc.identifier.urihttp://hdl.handle.net/10057/10608
dc.descriptionThesis (Ph.D.)--Wichita State University, College of Engineering, Dept. of Industrial and Manufacturing Engineering
dc.description.abstractThis dissertation provides a comprehensive sustainability-based framework for integrated maintenance-production planning problem where the production process in not of perfect quality. In classic production scheduling problems, the machine is assumed to be available during the entire planning horizon; however, there may be unavailability due to some planned maintenance or unplanned repair actions. Moreover, incorporating sustainability-based approaches into operational decisions in manufacturing is gaining more attention. Energy consumption as one of the most important factors of the environmental sustainability may affect production decisions extensively. In most of the existing literature on integrated maintenance- production planning, energy cost is ignored or is considered as a fixed-unit production cost. This dissertation provides new insights for incomplete production planning systems incorporating the cost of energy. This dissertation presents a framework to select the best maintenance strategy among various maintenance alternatives for a company pursuing sustainable development plan under uncertain conditions. Once the maintenance strategy is selected, the best maintenance and production plan is determined to minimize the overall cost of inventory, production, maintenance, repair, rework, technology investment, and energy consumption. These decisions are made at the tactical level of decision-making hierarchy in any organization. In the lower level of the hierarchical decision-making, the conflict between energy consumption and reliability of machines is studied in order to determine the optimal operational schedule of the jobs and On/Off decisions, and minimize energy consumption, total completion time and the failure probability of the machine.
dc.format.extentxii, 128 p.
dc.language.isoen_US
dc.publisherWichita State University
dc.rightsCopyright 2013 Farnaz Ghazi Nezami
dc.subject.lcshElectronic dissertations
dc.titleSustainability based decisions in manufacturing systems with production, reliability, and maintenance constraints
dc.typeDissertation


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