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Using economic (X)over-bar control chart design methodology to estimate and optimize machine efficiency in the case of multimachine assignments

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dc.contributor.authors Engin, AB;
dc.date.accessioned 2020-02-25T11:41:24Z
dc.date.available 2020-02-25T11:41:24Z
dc.date.issued 2010
dc.identifier.citation Engin, AB; (2010). Using economic (X)over-bar control chart design methodology to estimate and optimize machine efficiency in the case of multimachine assignments. APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 26, 534-513
dc.identifier.issn 1524-1904
dc.identifier.uri https://doi.org/10.1002/asmb.797
dc.identifier.uri https://hdl.handle.net/20.500.12619/48281
dc.description.abstract Estimation and optimization of machine efficiency in the case of multi machine assignments is a difficult issue for some industries such as textile industry, due to the machine interference. Although the problem is not new, the solutions proposed are not full satisfactory. For example, the analytical formulas are not suitable for high number of machines; queuing theory approaches are complex and impractical for mill managers. On the other hand, simulation methodology seems to be a perfect tool to estimate and analyze; however, the simulation package programs are expensive and are not suitable for systematic optimization. In this paper, Duncan's economic control chart design methodology is proposed as an alternative way for one of the oldest industrial problems. This study shows that this new approach is a more efficient solution to this stochastic problem. Copyright (C) 2009 John Wiley & Sons, Ltd.
dc.language English
dc.publisher WILEY
dc.subject Mathematics
dc.title Using economic (X)over-bar control chart design methodology to estimate and optimize machine efficiency in the case of multimachine assignments
dc.type Article
dc.identifier.volume 26
dc.identifier.startpage 513
dc.identifier.endpage 534
dc.contributor.department Sakarya Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü
dc.contributor.saüauthor Engin, Ahmet Baki
dc.relation.journal APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY
dc.identifier.wos WOS:000283766500005
dc.identifier.doi 10.1002/asmb.797
dc.contributor.author Engin, Ahmet Baki


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