- Title
- Modelling and evaluation of KPIs for the assessment of sustainable manufacturing : An extrusion process case study
- Creator
- Singh, Karmjit; Sultan, Ibrahim
- Date
- 2018
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/165270
- Identifier
- vital:13259
- Identifier
-
https://doi.org/10.1016/j.matpr.2017.11.636
- Identifier
- ISBN:2214-7853
- Abstract
- Manufacturing industries today are focusing on controlling negative environmental impacts, reducing cost, conserving energy and natural resources while producing new products through various methods and tools of Sustainable manufacturing assessment. This paper proposes science-based guidelines for modeling and evaluation of key performance indicators (KPIs) in an aluminium extrusion process. The proposed methodology consists of the following main components: 1) identification of key performance indicators 2) classification of manufacturing processes on the basis of KPIs 3) evaluation of key performance indicators. We discuss in detail the steps of the proposed indicators for aluminium extrusion process. The proposed indicators also contribute towards the development of standard reference methodology to help further sustainability in the manufacturing industries. In this paper we propose science-based guidelines, which can be used to determine key performance indicators, namely energy consumption, solid waste and carbon emissions of an aluminium extrusion process. The proposed methodology has been verified with actual shop floor data obtained from the industry.
- Publisher
- Elsever Ltd
- Relation
- 7th International Conference of Materials Processing and Characterization, ICMPC 2017; Hyderabad, India; 17th-19th March 2017; published in Materials Today: Proceedings Vol. 5, p. 3825-3834
- Rights
- Copyright © 2017 Elsevier Ltd.
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0306 Physical Chemistry (Incl. Structural); 0912 Materials Engineering; 0914 Resources Engineering and Extractive Metallurgy; Sustainable manufacturing assessment; Key performance indicarors; Manufacturing
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