D25 Sustainable Manufacturing System Focusing on the Natural Growth of Bamboo(Life cycle engineering and environmentally conscious manufacturing)

2009 ◽  
Vol 2009.5 (0) ◽  
pp. 523-528 ◽  
Author(s):  
Mitsuaki TANIGUCHI ◽  
Toshiki HIROGAKI ◽  
Eiichi AOYAMA ◽  
Keiji OGAWA ◽  
Sachiko OGAWA
Keyword(s):  
Life Cycle ◽  
Manufacturing System ◽  
Sustainable Manufacturing ◽  
Natural Growth ◽  
Environmentally Conscious ◽  
Life Cycle Engineering ◽  
Environmentally Conscious Manufacturing

Life Cycle Engineering and Sustainable Manufacturing

2014 ◽  
Vol 18 (4) ◽  
pp. 471-477 ◽  
Author(s):  
Christoph Herrmann ◽  
Michael Hauschild ◽  
Timothy Gutowski ◽  
Reid Lifset
Keyword(s):  
Life Cycle ◽  
Sustainable Manufacturing ◽  
Life Cycle Engineering

scholarly journals Sustainable Manufacturing System Focusing on the Natural Growth of Bamboo

2010 ◽  
Vol 4 (2) ◽  
pp. 531-542 ◽  
Author(s):  
Keiji OGAWA ◽  
Toshiki HIROGAKI ◽  
Eiichi AOYAMA ◽  
Mitsuaki TANIGUCHI ◽  
Sachiko OGAWA
Keyword(s):  
Manufacturing System ◽  
Sustainable Manufacturing ◽  
Natural Growth

scholarly journals The Benefits in Coupling Exergy Analysis and Life Cycle Assessment in the Context of Sustainable Manufacturing for Industry 4.0: A Real Industrial Case

2021 ◽  
Vol 39 (1) ◽  
pp. 12-22
Author(s):  
Valeria Selicati ◽  
Nicola Cardinale
Keyword(s):  
Life Cycle ◽  
Industry 4.0 ◽  
Manufacturing System ◽  
Sustainable Manufacturing ◽  
Life Cycle Thinking ◽  
Monitoring And Control ◽  
System Failures ◽  
Cost Of Energy ◽  
And Control

The continuously rising cost of energy and its impact on environmental policy are the primary boost for industry to stay global competitive in terms of maximizing productivity and raising operational costs. The prevailing goal in the height of industry 4.0 is to inspect and optimize manufacturing processes. The challenge is to consider thermodynamics as simulation and modelling solution that enables improve energy production and help efforts to shift towards a smart factory. The aim of this paper is to demonstrate that using thermodynamic models as Exergy and Life Cycle thinking provides major benefits since it allows evaluation results more reliable and aims to develop a retrofitting approach that enhances the process to avoid system failures efficiently. Any practitioner may pick suitable sensing networks in line with Industry 4.0, in order to develop a monitoring and control infrastructure and improve any manufacturing system, getting it smarter. In this article, an explanatory case study on the production process of an Italian SME will be presented and discussed.

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