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Profitability Analysis of Soybean Oil Processes
Soybean oil production is the basic process for soybean applications. Cash flow analysis is used to estimate the profitability of a manufacturing venture. Besides capital investments, operating costs, and revenues, the interest rate is the factor to estimate the net present value (NPV), break-even p...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5746750/ https://www.ncbi.nlm.nih.gov/pubmed/28991168 http://dx.doi.org/10.3390/bioengineering4040083 |
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author | Cheng, Ming-Hsun Rosentrater, Kurt A. |
author_facet | Cheng, Ming-Hsun Rosentrater, Kurt A. |
author_sort | Cheng, Ming-Hsun |
collection | PubMed |
description | Soybean oil production is the basic process for soybean applications. Cash flow analysis is used to estimate the profitability of a manufacturing venture. Besides capital investments, operating costs, and revenues, the interest rate is the factor to estimate the net present value (NPV), break-even points, and payback time; which are benchmarks for profitability evaluation. The positive NPV and reasonable payback time represent a profitable process, and provide an acceptable projection for real operating. Additionally, the capacity of the process is another critical factor. The extruding-expelling process and hexane extraction are the two typical approaches used in industry. When the capacities of annual oil production are larger than 12 and 173 million kg respectively, these two processes are profitable. The solvent free approach, known as enzyme assisted aqueous extraction process (EAEP), is profitable when the capacity is larger than 17 million kg of annual oil production. |
format | Online Article Text |
id | pubmed-5746750 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-57467502018-01-03 Profitability Analysis of Soybean Oil Processes Cheng, Ming-Hsun Rosentrater, Kurt A. Bioengineering (Basel) Article Soybean oil production is the basic process for soybean applications. Cash flow analysis is used to estimate the profitability of a manufacturing venture. Besides capital investments, operating costs, and revenues, the interest rate is the factor to estimate the net present value (NPV), break-even points, and payback time; which are benchmarks for profitability evaluation. The positive NPV and reasonable payback time represent a profitable process, and provide an acceptable projection for real operating. Additionally, the capacity of the process is another critical factor. The extruding-expelling process and hexane extraction are the two typical approaches used in industry. When the capacities of annual oil production are larger than 12 and 173 million kg respectively, these two processes are profitable. The solvent free approach, known as enzyme assisted aqueous extraction process (EAEP), is profitable when the capacity is larger than 17 million kg of annual oil production. MDPI 2017-10-07 /pmc/articles/PMC5746750/ /pubmed/28991168 http://dx.doi.org/10.3390/bioengineering4040083 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cheng, Ming-Hsun Rosentrater, Kurt A. Profitability Analysis of Soybean Oil Processes |
title | Profitability Analysis of Soybean Oil Processes |
title_full | Profitability Analysis of Soybean Oil Processes |
title_fullStr | Profitability Analysis of Soybean Oil Processes |
title_full_unstemmed | Profitability Analysis of Soybean Oil Processes |
title_short | Profitability Analysis of Soybean Oil Processes |
title_sort | profitability analysis of soybean oil processes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5746750/ https://www.ncbi.nlm.nih.gov/pubmed/28991168 http://dx.doi.org/10.3390/bioengineering4040083 |
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