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| Content Provider | Springer Nature Link |
|---|---|
| Author | Bhat, Neeraj Rao, P. Venkateswara Deshmukh, S. G. |
| Copyright Year | 2016 |
| Abstract | Sustainable manufacturing is a valuable tool for measuring and enhancing the machining performance. The implementation of sustainability frameworks in concerned industries poses enormous challenges despite various frameworks available in the literature. Thus, the objective of this paper is to present an integrated sustainability assessment framework wherein two machining scenarios (dry and wet turning) have been analysed by conducting experiments based on the process for a manufactured component in an industry from economic and environmental perspectives. The study further evaluates the economic and environmental indicators such as cost per component and energy consumption for Taguchi array design using empirical relations to evaluate sustainability by grey relational analysis and further optimise the machining performance by particle swarm optimisation. The results, however, indicate the possibility of transitioning the machining process from wet to dry at specific operating conditions with improved performance. In addition to this, the study also presents an illustration of social sustainability assessment framework which has been proposed after consultation with various manufacturing industries in order to make it convenient for them to implement and enhance the sustainability aspects of the machining process. |
| Starting Page | 1475 |
| Ending Page | 1513 |
| Page Count | 39 |
| File Format | |
| ISSN | 1618954X |
| Journal | Clean Technologies and Environmental Policy |
| Volume Number | 18 |
| Issue Number | 5 |
| e-ISSN | 16189558 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2016-03-26 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Sustainable manufacturing Turning Dry and wet machining Sustainability assessment Grey relational analysis Multi-objective optimisation Sustainable Development Industrial Chemistry/Chemical Engineering Industrial and Production Engineering Environmental Engineering/Biotechnology Environmental Economics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Environmental Chemistry Environmental Engineering Economics and Econometrics Business, Management and Accounting Management, Monitoring, Policy and Law |
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