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dc.contributor.authorGeetha, K.
dc.contributor.authorRavindran, D.
dc.contributor.authorKumar, M.
dc.contributor.authorIslam, Mohammad Nazrul
dc.date.accessioned2017-01-30T12:04:45Z
dc.date.available2017-01-30T12:04:45Z
dc.date.created2016-02-02T19:30:23Z
dc.date.issued2015
dc.identifier.citationGeetha, K. and Ravindran, D. and Kumar, M. and Islam, M.N. 2015. Concurrent tolerance allocation and scheduling for complex assemblies. Robotics and Computer-Integrated Manufacturing. 35: pp. 84-95.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/17900
dc.identifier.doi10.1016/j.rcim.2015.03.001
dc.description.abstract

Traditionally, tolerance allocation and scheduling have been dealt with separately in the literature. The aim of tolerance allocation is to minimize the tolerance cost. When scheduling the sequence of product operations, the goal is to minimize the makespan, mean flow time, machine idle time, and machine idle time cost. Calculations of manufacturing costs derived separately using tolerance allocation and scheduling separately will not be accurate. Hence, in this work, component tolerance was allocated by minimizing both the manufacturing cost (sum of the tolerance and quality loss cost) and the machine idle time cost, considering the product sequence. A genetic algorithm (GA) was developed for allocating the tolerance of the components and determining the best product sequence of the scheduling. To illustrate the effectiveness of the proposed method, the results are compared with those obtained with existing wheel mounting assembly discussed in the literature.

dc.publisherElsevier Ltd
dc.titleConcurrent tolerance allocation and scheduling for complex assemblies
dc.typeJournal Article
dcterms.source.volume35
dcterms.source.startPage84
dcterms.source.endPage95
dcterms.source.issn0736-5845
dcterms.source.titleRobotics and Computer-Integrated Manufacturing
curtin.departmentDepartment of Mechanical Engineering
curtin.accessStatusOpen access


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