Petroleum Products Greenness Degree Evaluation Using Fuzzy Hierarchy Inference System
Refineries, including the conversion industries, use oil and gas as row materials and their production processes and products could be so harmful to the environment if they could not manage properly. Nowadays, these companies are working hard to minimize the environmental damages caused by their pro...
| Main Authors: | , , |
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| Format: | Article |
| Language: | fas |
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Allameh Tabataba'i University Press
2020-06-01
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| Series: | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| Subjects: | |
| Online Access: | https://jims.atu.ac.ir/article_11232_2cc12158d1cb3bdd9146b625f4026f75.pdf |
| _version_ | 1827391878845169664 |
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| author | Amir Yousefli Vahid Karimpour Khameneh Reza Norouzi |
| author_facet | Amir Yousefli Vahid Karimpour Khameneh Reza Norouzi |
| author_sort | Amir Yousefli |
| collection | DOAJ |
| description | Refineries, including the conversion industries, use oil and gas as row materials and their production processes and products could be so harmful to the environment if they could not manage properly. Nowadays, these companies are working hard to minimize the environmental damages caused by their products, production processes, supply chain, distribution methods and etc. The first step to manage environmental impacts properly, is considering the current condition and correct evaluation of products. In this paper a new method is presented to evaluate the refinery products degree of greenness. The developed model consists of influencing parameters on greenness degree, which are classified in a hierarchical structure. Due to the difficulties in defining an explicit function, fuzzy controllers are implemented to infer degree of greenness based on influencing parameters values. Effectiveness of the presented model is evaluated by assessing the greenness degree of Bandar Abbas refinery products and the results reflect good performance of the developed model. |
| first_indexed | 2024-03-08T17:20:47Z |
| format | Article |
| id | doaj.art-646b2c759bf14ce78e56fe2e8f2bdeb1 |
| institution | Directory Open Access Journal |
| issn | 2251-8029 2476-602X |
| language | fas |
| last_indexed | 2024-03-08T17:20:47Z |
| publishDate | 2020-06-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| spelling | doaj.art-646b2c759bf14ce78e56fe2e8f2bdeb12024-01-03T04:45:42ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292476-602X2020-06-01185721323410.22054/jims.2019.42875.232511232Petroleum Products Greenness Degree Evaluation Using Fuzzy Hierarchy Inference SystemAmir Yousefli0Vahid Karimpour Khameneh1Reza Norouzi2Department of Industrial Engineering, Engineering Faculty, University of Zanjan, Zanjan, IranM.Sc. in Industrial Engineering, Department of Industrial Engineering, Islamic Azad University, Bandar Abbas Branch, Bandar Abbas, IranM.A. in Industrial Management, Department of Industrial Management, Social Science Faculty, Imam Khomeini International University, Qazvin, IranRefineries, including the conversion industries, use oil and gas as row materials and their production processes and products could be so harmful to the environment if they could not manage properly. Nowadays, these companies are working hard to minimize the environmental damages caused by their products, production processes, supply chain, distribution methods and etc. The first step to manage environmental impacts properly, is considering the current condition and correct evaluation of products. In this paper a new method is presented to evaluate the refinery products degree of greenness. The developed model consists of influencing parameters on greenness degree, which are classified in a hierarchical structure. Due to the difficulties in defining an explicit function, fuzzy controllers are implemented to infer degree of greenness based on influencing parameters values. Effectiveness of the presented model is evaluated by assessing the greenness degree of Bandar Abbas refinery products and the results reflect good performance of the developed model.https://jims.atu.ac.ir/article_11232_2cc12158d1cb3bdd9146b625f4026f75.pdfgreen supply chaingreen productproducts greenness degreefuzzy rule basefuzzy hierarchy inference |
| spellingShingle | Amir Yousefli Vahid Karimpour Khameneh Reza Norouzi Petroleum Products Greenness Degree Evaluation Using Fuzzy Hierarchy Inference System Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī green supply chain green product products greenness degree fuzzy rule base fuzzy hierarchy inference |
| title | Petroleum Products Greenness Degree Evaluation Using Fuzzy Hierarchy Inference System |
| title_full | Petroleum Products Greenness Degree Evaluation Using Fuzzy Hierarchy Inference System |
| title_fullStr | Petroleum Products Greenness Degree Evaluation Using Fuzzy Hierarchy Inference System |
| title_full_unstemmed | Petroleum Products Greenness Degree Evaluation Using Fuzzy Hierarchy Inference System |
| title_short | Petroleum Products Greenness Degree Evaluation Using Fuzzy Hierarchy Inference System |
| title_sort | petroleum products greenness degree evaluation using fuzzy hierarchy inference system |
| topic | green supply chain green product products greenness degree fuzzy rule base fuzzy hierarchy inference |
| url | https://jims.atu.ac.ir/article_11232_2cc12158d1cb3bdd9146b625f4026f75.pdf |
| work_keys_str_mv | AT amiryousefli petroleumproductsgreennessdegreeevaluationusingfuzzyhierarchyinferencesystem AT vahidkarimpourkhameneh petroleumproductsgreennessdegreeevaluationusingfuzzyhierarchyinferencesystem AT rezanorouzi petroleumproductsgreennessdegreeevaluationusingfuzzyhierarchyinferencesystem |