Development of an Assessment Method for Evaluation of Sustainable Factories
| Autor: | Behrouz Pirouz, Michele Turco, Stefania Anna Palermo, Natale Arcuri, Behzad Pirouz, Mario Maiolo |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
AHP Supply chain Geography Planning and Development Analytic hierarchy process TJ807-830 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law TD194-195 01 natural sciences Renewable energy sources 0202 electrical engineering electronic engineering information engineering Environmental impact assessment GE1-350 triangular fuzzy 0105 earth and related environmental sciences Sustainable development sustainable development Environmental effects of industries and plants Renewable Energy Sustainability and the Environment Environmental economics Environmental sciences Greenhouse gas Secondary sector of the economy Sustainability Assessment methods 020201 artificial intelligence & image processing green factories |
| Zdroj: | Sustainability Volume 12 Issue 5 Sustainability, Vol 12, Iss 5, p 1841 (2020) |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su12051841 |
| Popis: | The role of the industrial sector in total greenhouse gas (GHG) emissions and resource consumption is well-known, and many industrial activities may have a negative environmental impact. The solution to decreasing the negative effects cannot be effective without the consideration of sustainable development. There are several methods for sustainability evaluation, such as tools based on products, processes, or plants besides supply chain or life cycle analysis, and there are different rating systems suggesting 80, 140, or more indicators for assessment. The critical point is the limits such as required techniques and budget in using all indicators for all factories in the beginning. Moreover, the weight of each indicator might change based on the selected alternative that it is not a fixed value and could change in a new case study. In this regard, to determine the impact and weight of different indicators in sustainable factories, a multi-layer Triangular Fuzzy Analytic Hierarchy Process (TFAHP) approach was developed, and the application of the method was described and verified. The defined layers are six for each layer, the pairwise comparison matrix was developed, and the total aggregated score concerning the sustainability goal for each alternative was calculated that shows the Relative Importance Coefficient (RIC). The method is formulated in a way that allows adding the new indicators in all layers as the verification shows, and thus, there are no limits for using any green rating systems. Therefore, the presented approach by TFAHP would provide an additional tool toward the sustainable development of factories. |
| Databáze: | OpenAIRE |
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