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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2016-09-01
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447915001252 |
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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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