RELIABILITY CENTERED MULTI OBJECTIVE HYBRID FLOW SHOP SCHEDULING
Tahmina Ferdousi Lipi (),
Md. Ahsan Akhtar Hasin and
Md. Noor-E-Alam
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Tahmina Ferdousi Lipi: Department of Industrial & Production Engineering, Bangladesh University of Engineering & Technology (BUET), Dhaka 1000, Bangladesh
Md. Ahsan Akhtar Hasin: Department of Industrial & Production Engineering, Bangladesh University of Engineering & Technology (BUET), Dhaka 1000, Bangladesh
Md. Noor-E-Alam: Department of Industrial & Production Engineering, Bangladesh University of Engineering & Technology (BUET), Dhaka 1000, Bangladesh
Asia-Pacific Journal of Operational Research (APJOR), 2009, vol. 26, issue 05, 637-653
Abstract:
Real world scheduling problems are complex in nature. They require satisfying multiple objectives. To get a realistic schedule, consideration of machine reliability and availability is very important to allocate job in machine. This research aims to develop two fuzzy inference systems (FIS) for hybrid flow shop problem. First FIS is used to get priority of each job considering multiple objectives of processing time, due date and cost over time. Second FIS is used to get machine reliability and availability based priority using the information of mean time to failure (MTTF) & mean time to repair (MTTR) of each individual machine at each stage. To distribute the workload depending on their reliability and availability based priority of each machine, maximum utilization target is determined. An algorithm has been developed for grouping, sequencing & allocating the jobs to the machines at every stage in such a way that total percentage of over utilization will minimum. Based on this algorithm, a computing tool has been developed and, explained with a three stage hybrid flow shop scheduling problem.
Keywords: Hybrid flow shop; fuzzy inference systems (FIS); reliability; availability (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:apjorx:v:26:y:2009:i:05:n:s0217595909002389
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DOI: 10.1142/S0217595909002389
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