Ιδρυματικό Αποθετήριο
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| URI | http://purl.tuc.gr/dl/dias/6DC3F149-C2DB-4632-B5BF-B02E76381A2E | - |
| Αναγνωριστικό | http://ceur-ws.org/Vol-2030/HAICTA_2017_paper72.pdf | - |
| Γλώσσα | en | - |
| Μέγεθος | 7 pages | en |
| Τίτλος | A fuzzy multiple criteria approach for environmental performance evaluation in the food industry | en |
| Δημιουργός | Grigoroudis Evangelos | en |
| Δημιουργός | Γρηγορουδης Ευαγγελος | el |
| Εκδότης | CEUR-WS | en |
| Περίληψη | An important tool for the evaluation and documentation of a successful environmental management system is the Environmental Performance Evaluation (EPE). EPE is generally defined as a continuous internal process and management tool that using indicators evaluates the environmental management system of an organization and compares past and present performance. Relevant international standards such as ISO 14031-14032 describe the categories of performance indicators; however they do not determine a specific framework for the development, measurement and evaluation of these indicators. The main aim of this study is to present an EPE methodology based on the fuzzy UTASTAR method. Fuzzy UTASTAR is an extension of the well-known UTASTAR method capable to handle both ordinary (crisp) and fuzzy evaluation data. To demonstrate the application of the methodology, a case study is presented, where fuzzy UTASTAR is used in the frame of the EPE of a mills industry. | en |
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Τύπος | Conference Full Paper | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2018-06-01 | - |
| Ημερομηνία Δημοσίευσης | 2017 | - |
| Θεματική Κατηγορία | Environmental management systems | en |
| Θεματική Κατηγορία | Environmental performance evaluation | en |
| Θεματική Κατηγορία | Environmental performance indicators | en |
| Θεματική Κατηγορία | Fuzzy UTASTAR | en |
| Βιβλιογραφική Αναφορά | E. Grigoroudis, "A fuzzy multiple criteria approach for environmental performance evaluation in the food industry" in 8th International Conference on Information and Communication Technologies in Agriculture, Food and Environment, 2017, pp. 594-601. | en |
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