Development of palm oil extraction performance index (EPI) based on oil extraction rate (OER) and oil loss (OL)
This study proposes a new method to evaluate the performance of palm oil extraction based on Predictive Scoring Index methodology. The variables, Oil Extraction Rate (OER) and Oil Loss (OL), were identified as important to develop a new extraction index based on three different steriliser systems. T...
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Universiti Putra Malaysia Press
2017
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2-s2.0-85059524377 Andrew J.; Sulaiman A.; Mokhtar M.N.; Baharuddin A.S.; Daud N.M. Development of palm oil extraction performance index (EPI) based on oil extraction rate (OER) and oil loss (OL) 2017 Pertanika Journal of Science and Technology 25 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059524377&partnerID=40&md5=994e89835246c9f0bf4f7a58ecacb409 This study proposes a new method to evaluate the performance of palm oil extraction based on Predictive Scoring Index methodology. The variables, Oil Extraction Rate (OER) and Oil Loss (OL), were identified as important to develop a new extraction index based on three different steriliser systems. There were six performance categories: Excellent, Very Good, Good, Average, Poor and Very Poor. Based on 75 selected palm oil mills data from 2009-2013, Continuous Sterilizer (CS) system and Conventional Sterilizer (CV) system recorded 2.7% and 1.3% respectively under the Excellent category. The Compact Modular Concept (CMC) system only recorded ‘Very Good’ (20%) and ‘Good’ (13.3%). This study showed that EPI could be used to monitor palm oil extraction performance to ensure maximum oil extraction and minimum losses. © 2017 Universiti Putra Malaysia Press. Universiti Putra Malaysia Press 1287680 English Article |
author |
Andrew J.; Sulaiman A.; Mokhtar M.N.; Baharuddin A.S.; Daud N.M. |
spellingShingle |
Andrew J.; Sulaiman A.; Mokhtar M.N.; Baharuddin A.S.; Daud N.M. Development of palm oil extraction performance index (EPI) based on oil extraction rate (OER) and oil loss (OL) |
author_facet |
Andrew J.; Sulaiman A.; Mokhtar M.N.; Baharuddin A.S.; Daud N.M. |
author_sort |
Andrew J.; Sulaiman A.; Mokhtar M.N.; Baharuddin A.S.; Daud N.M. |
title |
Development of palm oil extraction performance index (EPI) based on oil extraction rate (OER) and oil loss (OL) |
title_short |
Development of palm oil extraction performance index (EPI) based on oil extraction rate (OER) and oil loss (OL) |
title_full |
Development of palm oil extraction performance index (EPI) based on oil extraction rate (OER) and oil loss (OL) |
title_fullStr |
Development of palm oil extraction performance index (EPI) based on oil extraction rate (OER) and oil loss (OL) |
title_full_unstemmed |
Development of palm oil extraction performance index (EPI) based on oil extraction rate (OER) and oil loss (OL) |
title_sort |
Development of palm oil extraction performance index (EPI) based on oil extraction rate (OER) and oil loss (OL) |
publishDate |
2017 |
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Pertanika Journal of Science and Technology |
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25 |
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url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059524377&partnerID=40&md5=994e89835246c9f0bf4f7a58ecacb409 |
description |
This study proposes a new method to evaluate the performance of palm oil extraction based on Predictive Scoring Index methodology. The variables, Oil Extraction Rate (OER) and Oil Loss (OL), were identified as important to develop a new extraction index based on three different steriliser systems. There were six performance categories: Excellent, Very Good, Good, Average, Poor and Very Poor. Based on 75 selected palm oil mills data from 2009-2013, Continuous Sterilizer (CS) system and Conventional Sterilizer (CV) system recorded 2.7% and 1.3% respectively under the Excellent category. The Compact Modular Concept (CMC) system only recorded ‘Very Good’ (20%) and ‘Good’ (13.3%). This study showed that EPI could be used to monitor palm oil extraction performance to ensure maximum oil extraction and minimum losses. © 2017 Universiti Putra Malaysia Press. |
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Universiti Putra Malaysia Press |
issn |
1287680 |
language |
English |
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Article |
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scopus |
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Scopus |
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1823296163296575488 |