scholarly journals Energy Efficiency in Manufacturing Systems, by Sebastian Thiede (in Sustainable Production, Life Cycle Engineering and Management, series editors Christoph Herrmann and Sami Kara). Berlin, Heidelberg: Springer-Verlag, 2012, 198 pp., ISBN 978-3-642-25913-5

2014 ◽  
Vol 18 (4) ◽  
pp. 593-594 ◽  
Author(s):  
Jonathan M. Cullen
Keyword(s):  
Energy Efficiency ◽  
Life Cycle ◽  
Manufacturing Systems ◽  
Sustainable Production ◽  
Life Cycle Engineering

scholarly journals Life Cycle Engineering 4.0: A Proposal to Conceive Manufacturing Systems for Industry 4.0 Centred on the Human Factor (DfHFinI4.0)

2020 ◽  
Vol 10 (13) ◽  
pp. 4442 ◽  
Author(s):  
Susana Suarez-Fernandez de Miranda ◽  
Francisco Aguayo-González ◽  
Jorge Salguero-Gómez ◽  
María Jesús Ávila-Gutiérrez
Keyword(s):  
Life Cycle ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Human Factor ◽  
Management Training ◽  
Exploratory Research ◽  
Reference Architecture ◽  
Life Cycle Engineering ◽  
Requisite Variety ◽  
Law Of Requisite Variety

Engineering 4.0 environments are characterised by the digitisation, virtualisation, and connectivity of products, processes, and facilities composed of reconfigurable and adaptive socio-technical cyber-physical manufacturing systems (SCMS), in which Operator 4.0 works in real time in VUCA (volatile, uncertain, complex and ambiguous) contexts and markets. This situation gives rise to the interest in developing a framework for the conception of SCMS that allows the integration of the human factor, management, training, and development of the competencies of Operator 4.0 as fundamental aspects of the aforementioned system. The present paper is focused on answering how to conceive the adaptive manufacturing systems of Industry 4.0 through the operation, growth, and development of human talent in VUCA contexts. With this objective, exploratory research is carried, out whose contribution is specified in a framework called Design for the Human Factor in Industry 4.0 (DfHFinI4.0). From among the conceptual frameworks employed therein, the connectivist paradigm, Ashby’s law of requisite variety and Vigotsky’s activity theory are taken into consideration, in order to enable the affective-cognitive and timeless integration of the human factor within the SCMS. DfHFinI4.0 can be integrated into the life cycle engineering of the enterprise reference architectures, thereby obtaining manufacturing systems for Industry 4.0 focused on the human factor. The suggested framework is illustrated as a case study for the Purdue Enterprise Reference Architecture (PERA) methodology, which transforms it into PERA 4.0.

scholarly journals Integrated economic and environmental building classification and optimal seismic vulnerability/energy efficiency retrofitting

2021 ◽  
Author(s):  
Martina Caruso ◽  
Rui Pinho ◽  
Federica Bianchi ◽  
Francesco Cavalieri ◽  
Maria Teresa Lemmo
Keyword(s):  
Energy Efficiency ◽  
Life Cycle ◽  
Seismic Hazard ◽  
Environmental Impacts ◽  
Classification System ◽  
Seismic Vulnerability ◽  
Performance Metrics ◽  
Climatic Conditions ◽  
Economic Losses ◽  
Operational Energy

AbstractA life cycle framework for a new integrated classification system for buildings and the identification of renovation strategies that lead to an optimal balance between reduction of seismic vulnerability and increase of energy efficiency, considering both economic losses and environmental impacts, is discussed through a parametric application to an exemplificative case-study building. Such framework accounts for the economic and environmental contributions of initial construction, operational energy consumption, earthquake-induced damage repair activities, retrofitting interventions, and demolition. One-off and annual monetary expenses and environmental impacts through the building life cycle are suggested as meaningful performance metrics to develop an integrated classification system for buildings and to identify the optimal renovation strategy leading to a combined reduction of economic and environmental impacts, depending on the climatic conditions and the seismic hazard at the site of interest. The illustrative application of the framework to an existing school building is then carried out, investigating alternative retrofitting solutions, including either sole structural retrofitting options or sole energy refurbishments, as well as integrated strategies that target both objectives, with a view to demonstrate its practicality and to explore its ensuing results. The influence of seismic hazard and climatic conditions is quantitatively investigated, by assuming the building to be located into different geographic locations.

scholarly journals AI-LCE: Adaptive and Intelligent Life Cycle Engineering by applying digitalization and AI methods – An emerging paradigm shift in Life Cycle Engineering

Procedia CIRP ◽  
2021 ◽  
Vol 98 ◽  
pp. 571-576 ◽  
Author(s):  
Tomohiko Sakao ◽  
Peter Funk ◽  
Johannes Matschewsky ◽  
Marcus Bengtsson ◽  
Mobyen Uddin Ahmed
Keyword(s):  
Life Cycle ◽  
Paradigm Shift ◽  
Life Cycle Engineering ◽  
Intelligent Life

scholarly journals Comparative Analysis of the Life-Cycle Cost of Robot Substitution: A Case of Automobile Welding Production in China

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 226
Author(s):  
Xuyang Zhao ◽  
Cisheng Wu ◽  
Duanyong Liu
Keyword(s):  
Life Cycle ◽  
Systems Engineering ◽  
Life Cycle Cost ◽  
Manufacturing Systems ◽  
Large Scale ◽  
Cost Allocation ◽  
Industrial Robot ◽  
Case Analysis ◽  
Industrial Robots ◽  
Analysis Model

Within the context of the large-scale application of industrial robots, methods of analyzing the life-cycle cost (LCC) of industrial robot production have shown considerable developments, but there remains a lack of methods that allow for the examination of robot substitution. Taking inspiration from the symmetry philosophy in manufacturing systems engineering, this article further establishes a comparative LCC analysis model to compare the LCC of the industrial robot production with traditional production at the same time. This model introduces intangible costs (covering idle loss, efficiency loss and defect loss) to supplement the actual costs and comprehensively uses various methods for cost allocation and variable estimation to conduct total cost and the cost efficiency analysis, together with hierarchical decomposition and dynamic comparison. To demonstrate the model, an investigation of a Chinese automobile manufacturer is provided to compare the LCC of welding robot production with that of manual welding production; methods of case analysis and simulation are combined, and a thorough comparison is done with related existing works to show the validity of this framework. In accordance with this study, a simple template is developed to support the decision-making analysis of the application and cost management of industrial robots. In addition, the case analysis and simulations can provide references for enterprises in emerging markets in relation to robot substitution.

Life-Cycle Engineering Design

1995 ◽  
Vol 117 (B) ◽  
pp. 42-47 ◽  
Author(s):  
K. Ishii
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Functional Performance ◽  
Semantic Network ◽  
Research Issues ◽  
Life Cycle Engineering ◽  
Engineering Research ◽  
Design Representation ◽  
Life Cycle Design ◽  
Representation Scheme

Life-cycle engineering seeks to incorporate various product life-cycle values into the early stages of design. These values include functional performance, manufacturability, serviceability, and environmental impact. We start with a survey of life-cycle engineering research focusing on methodologies and tools. Further, the paper addresses critical research issues in life-cycle design tools: design representation and measures for life-cycle evaluation. The paper describes our design representation scheme based on a semantic network that is effective for evaluating the structural layout. Evaluation measures for serviceability and recyclability illustrate the practical use of these representation schemes.

Digitalisierung und Computational Life Cycle Engineering

2021 ◽  
Vol 61 (S3) ◽  
pp. 24-25
Author(s):  
Rowena Duckstein ◽  
Felipe Cerdas ◽  
Alexander Leiden
Keyword(s):  
Life Cycle ◽  
Life Cycle Engineering
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