Performance evaluation of multi-input–single-output (MISO) production process using transfer function and fuzzy logic: Case study of a brewery

This work reports an improved and novel new method of evaluating the performance of multi input single output (MISO) processes, as exemplified by a brewery. This new method involves the combination of transfer function modeling and fuzzy logic and was used in evaluating the six years performance of...

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Main Authors: Chidozie Chukwuemeka Nwobi-Okoye, Stanley Okiy, Anthony Clement Igboanugo
Format: Article
Language:English
Published: Elsevier 2016-09-01
Series:Ain Shams Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447915001252
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spelling doaj-49dd395fc04d46408a50ecc4f83fcd5d2021-06-02T03:29:32ZengElsevierAin Shams Engineering Journal2090-44792016-09-01731001101010.1016/j.asej.2015.07.008Performance evaluation of multi-input–single-output (MISO) production process using transfer function and fuzzy logic: Case study of a breweryChidozie Chukwuemeka Nwobi-Okoye0Stanley Okiy1Anthony Clement Igboanugo2Anambra State University (Chukwuemeka Odumegwu Ojukwu University), Uli, NigeriaPetroleum Training Institute, Warri, NigeriaDepartment of Production Engineering, University of Benin, Benin City, Edo State, NigeriaThis work reports an improved and novel new method of evaluating the performance of multi input single output (MISO) processes, as exemplified by a brewery. This new method involves the combination of transfer function modeling and fuzzy logic and was used in evaluating the six years performance of a brewery. Of the six years, the period 2010–2011 with a performance rating λ of 0.810 which corresponds to the linguistic variable ‘Good’ recorded the best performance while the period 2008–2009 with a performance rating λ of 0.381 which corresponds to the linguistic variable ‘Fair’ recorded the worst performance. The result of this study is expected to open new ways of improving maintenance effectiveness, utilization of raw materials and efficiency of multi input single output (MISO) production processes.http://www.sciencedirect.com/science/article/pii/S2090447915001252Transfer functionFuzzy logicMulti input single output processBreweryModeling
collection DOAJ
language English
format Article
sources DOAJ
author Chidozie Chukwuemeka Nwobi-Okoye
Stanley Okiy
Anthony Clement Igboanugo
spellingShingle Chidozie Chukwuemeka Nwobi-Okoye
Stanley Okiy
Anthony Clement Igboanugo
Performance evaluation of multi-input–single-output (MISO) production process using transfer function and fuzzy logic: Case study of a brewery
Ain Shams Engineering Journal
Transfer function
Fuzzy logic
Multi input single output process
Brewery
Modeling
author_facet Chidozie Chukwuemeka Nwobi-Okoye
Stanley Okiy
Anthony Clement Igboanugo
author_sort Chidozie Chukwuemeka Nwobi-Okoye
title Performance evaluation of multi-input–single-output (MISO) production process using transfer function and fuzzy logic: Case study of a brewery
title_short Performance evaluation of multi-input–single-output (MISO) production process using transfer function and fuzzy logic: Case study of a brewery
title_full Performance evaluation of multi-input–single-output (MISO) production process using transfer function and fuzzy logic: Case study of a brewery
title_fullStr Performance evaluation of multi-input–single-output (MISO) production process using transfer function and fuzzy logic: Case study of a brewery
title_full_unstemmed Performance evaluation of multi-input–single-output (MISO) production process using transfer function and fuzzy logic: Case study of a brewery
title_sort performance evaluation of multi-input–single-output (miso) production process using transfer function and fuzzy logic: case study of a brewery
publisher Elsevier
series Ain Shams Engineering Journal
issn 2090-4479
publishDate 2016-09-01
description This work reports an improved and novel new method of evaluating the performance of multi input single output (MISO) processes, as exemplified by a brewery. This new method involves the combination of transfer function modeling and fuzzy logic and was used in evaluating the six years performance of a brewery. Of the six years, the period 2010–2011 with a performance rating λ of 0.810 which corresponds to the linguistic variable ‘Good’ recorded the best performance while the period 2008–2009 with a performance rating λ of 0.381 which corresponds to the linguistic variable ‘Fair’ recorded the worst performance. The result of this study is expected to open new ways of improving maintenance effectiveness, utilization of raw materials and efficiency of multi input single output (MISO) production processes.
topic Transfer function
Fuzzy logic
Multi input single output process
Brewery
Modeling
url http://www.sciencedirect.com/science/article/pii/S2090447915001252
work_keys_str_mv AT chidoziechukwuemekanwobiokoye performanceevaluationofmultiinputsingleoutputmisoproductionprocessusingtransferfunctionandfuzzylogiccasestudyofabrewery
AT stanleyokiy performanceevaluationofmultiinputsingleoutputmisoproductionprocessusingtransferfunctionandfuzzylogiccasestudyofabrewery
AT anthonyclementigboanugo performanceevaluationofmultiinputsingleoutputmisoproductionprocessusingtransferfunctionandfuzzylogiccasestudyofabrewery
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