A study on extending technologies lifespan for the environment safety
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Department of Mechanical Engineering, Nagaoka University of Technology, Japan
Submission date: 2020-10-29
Acceptance date: 2021-01-19
Online publication date: 2021-03-29
Publication date: 2021-03-29
Corresponding author
Amal Labidi   

Department of Mechanical Engineering, Nagaoka University of Technology, Japan
Journal of Machine Engineering 2021;21(1):109-120
The technological devices have become a big burden for the environment. Today, there is an agreement among researchers that this issue must be considered from a life cycle perspective. The best scenario would be to extend the devices lifespan. However, an old device, is usually linked to low performances, low profit, high risks, etc. In this paper, the Double-Eco model, an evaluation platform of the compromise between the performances, cost, ecology, safety and lifespan is developed. Also, the environmental impacts of the lifespan are highlighted through the example of personal computers and the DE model is applied to three types of grease lubrication as case of study. The results show that (1) evaluating a technology with all its aspects is efficient when deciding whether to extend its lifespan (2) based on the DE model, the lubrication with the longest lifespan has a better evaluation than the two other studied cases.
COOPER T., 2005, Slower Consumption: Reflections on Product Life Spans and the Throwaway Society, Journal of Industrial Ecology, 9/1–2, 51–67.
OSIBANJO O., NNOROM I.C., 2007, The Challenge of Electronic Waste (e-Waste) Management in Developing Countries, Waste Management Research, 25/6, 489–501.
PENA-GONZALEZ E., DA SILVA P., TANABE I., 2018, Development of Environmentally-Friendly Technologies Based on the Double-Eco Model-An Evaluation Platform, Journal of Machine Engineering, 18/1, 18–31.
WILLIAMS E., HATANAKA T., 2005, Residential Computer Usage Patterns in Japan and Associated Life Cycle Energy Use, Proceedings of the 2005 IEEE International Symposium on Electronics and the Environment, 177–182.
YOSHIDA A., TASAKI T., TERAZONO A., 2009, Material Flow Analysis of Used Personal Computers in Japan, Waste Management, 29/5, 1602–1614.
WILLIAMS E., 2004, Energy Intensity of Computer Manufacturing: Hybrid Assessment Combining Process and Economic Input− Output Methods, Environmental Science & Technology, 38/22, 6166–6174.
LeBel S., 2016, Fast Machines, Slow Violence: ICTs, Planned Obsolescence, and e-Waste, Globalizations, 13/3, 300–309.
TANABE I., WATANABE M., 2011, Development of Cost-Effective and Eco-Friendly Permanent Grease Lubrication for the Machine Tool Slides, 2011 IEEE International Symposium on Assembly and Manufacturing (ISAM).
SALLING P., KICHERER A., DITTRICH-KRÄMER B., et al., 2002, Eco-Efficiency Analysis by BASF: The Method, The International Journal of Life Cycle Assessment, 7/4, 203–218.
BEVILACQUA M., CIARAPICA F., GIACCHETTA G., 2012, Design for Environment as a Tool for the Development of Sustainable Supply Chain, Springer-Verlag London, Ltd., UK.
TANABE I., 2016, Double-ECO Model Technologies for and Environmentally-Friendly Manufacturing, Procedia CIRP: 23rd CIRP Conference on Life Cycle Engineering, 48, 495–501.
DIPHARE M., PILUSA J., 2013, A Review of Waste Lubricating Grease Management, 2nd International Conference on Environment, Agriculture and Food Sciences, 131–134.
TAGUCHI G., JUGULUM R., 2002, The Mahalanobis-Taguchi Strategy: A Pattern Technology System, Springer-Verlag London, Ltd., United Kingdom.
CUDNEY E., HONG J., JUGULUM R., 2007, An Evaluation of Mahalanobis-Taguchi System and Neural Network for Multivariate Pattern Recognition, JISE, 1/2, 139–150.
Japanese ministry of economy, trade and industry, 2016, Japan’s energy: 20 Questions to understand the current energy situation, http://www.enecho.meti.go.jp/e... /brochures/pdf/japan_energy_2016.pdf.
LEVINSON M., 2017, U.S. Manufacturing in International Perspective, Congressional Research Service, United States.
AVEN T., 2016, Risk Assessment and Risk Management: Review of Recent Advances on Their Foundation, European Journal of Operational Research, 253, 1–13.
DA SILVA P., TANABE I., 2018, The Analysis of Environmental and Human Impacts of Using Strong Alkaline Water for Cooling During Machining, Journal of Machine Engineering, 18/1, 32–44.
SCHWARZ M., DADO M., HNILICA R., VEVERKOVA D., 2015, Environmental and Health Aspects of Metalworking Fluid Use, Polish Journal of Environmental Studies, 24/1, 37–45.
MADAHIRE I., MBOHWA C., 2016, Lubricant Additive Impacts on Human Health and the Environment, Springer International Publishing, Switzerland.
MIRER F.E., 2010, New Evidence on the Health Hazards and Control of Metalworking Fluids Since Completion of the OSHA Advisory Committee Report, AJIM, 53, 792–801.
McKONE, T.E., HERTWICH E.G., 2001, The Human Toxicity Potential and a Strategy for Evaluating Model Performance in Life Cycle Impact Assessment, International Journal of Life-Cycle Assessment, 6/2, 106–109.
MANTOAM E.J., ROMANELLI T.L, GIMENEZ L.M. AND MILAN M., 2017, Energy Demand and Greenhouse Gases Emissions in the Life Cycle of Coffee Harvesters, Chemical Engineering Transactions, 58, 175–180.
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