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https://rda.sliit.lk/handle/123456789/733
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DC Field | Value | Language |
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dc.contributor.author | Perera, P. S. T | - |
dc.contributor.author | Perera, H. S. C | - |
dc.contributor.author | Wijesinghe, T. M | - |
dc.date.accessioned | 2022-01-21T09:48:20Z | - |
dc.date.available | 2022-01-21T09:48:20Z | - |
dc.date.issued | 2013-03 | - |
dc.identifier.issn | 0972-2629 | - |
dc.identifier.uri | http://localhost:80/handle/123456789/733 | - |
dc.description.abstract | Environmental performance evaluation is an area of growing concern among the worldwide community. Consequently, measurements to evaluate environmental performance are of great importance. However, lack of a quantifiable model to study the environmental performance is a problem in this area. This study therefore attempts to quantify the environmental performance of supply chain of a manufacturing company, which requires evaluation of many criteria. Therefore, selection of environmental performance measures leads to a multi-criteria decision making problem. As a result, analytical hierarchy process is selected to develop the model and is solved with Expert Choice software. Finally the proposed model is applied to a case study company to identify the key areas of environmental performance of the company’s supply chain and to assess various product categories manufactured under those key areas. | en_US |
dc.language.iso | en | en_US |
dc.publisher | SAGE Publications | en_US |
dc.relation.ispartofseries | Vision Volume 17 Issue 1 Pages 53-61;Vol 17 Issue 1 Pages 53-61 | - |
dc.subject | Environmental Performance Evaluation | en_US |
dc.subject | Multi-criteria Decision Making | en_US |
dc.subject | Analytical Hierarchy Process | en_US |
dc.title | Environmental performance evaluation in supply chain | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1177/0972262912469566 | en_US |
Appears in Collections: | Research Papers - Department of Mechanical Engineering Research Papers - SLIIT Staff Publications |
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File | Description | Size | Format | |
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0972262912469566.pdf Until 2050-12-31 | 294.13 kB | Adobe PDF | View/Open Request a copy |
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