Title |
A method for lean energy assessment of manufacturing systems |
ID_Doc |
17796 |
Authors |
Di Domizio, G; Menghi, R; Papetti, A; Germani, M; Marconi, M |
Title |
A method for lean energy assessment of manufacturing systems |
Year |
2019 |
Published |
|
DOI |
10.1016/j.procir.2019.03.314 |
Abstract |
Manufacturing systems are among the main consumers of energy. Several methods and tools have been developed to support companies toward energy efficiency. However, they generally require high computational effort, onerous measurement campaigns or complex models. In this paper, a method to perform a lean energy assessment starting from the asset characteristics is proposed. It is based on a set of corrective factors that consider both technical and productive aspects. The final goal is to overcome the lack of precise data needed to identify hotspots from the energy point of view. A real industrial case study allows implementing the method and demonstrating its usefulness. (C) 2019 The Authors. Published by Elsevier Ltd. |
Author Keywords |
energy assessment; manufacturing systems; lean phylosophy |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
EID |
WOS:000566264700247 |
WoS Category |
Automation & Control Systems; Engineering, Industrial; Engineering, Manufacturing |
Research Area |
Automation & Control Systems; Engineering |
PDF |
https://doi.org/10.1016/j.procir.2019.03.314
|