21 Progress for Life Cycle Sustainability Assessment by Means …
343
fact, that there is no known implementation of a DLT for LCSA, there is also no data
basis for an assessment. Questions to be answered in this context are: Can LCSA
be applied to an underlying DLT system? Which specific characteristics need to be
taken into account? As a DLT is not solely a hardware neither a software product,
different requirements might arise. If a DLT is defined as a CPS, the LCSA of a CPS
can be used for guidance (Gürdür and Gradin 2017). Other orientations could be
LCSA of Product Service Systems (PSS) (Peruzzini and Germani 2013), if a DLT is
understood as a system of a physical product and accompanying services.
Future research steps should focus on the elaboration of the DLT concept as
well as the sustainability assessment of DLT implementations. In particular, the
applicable data structure and information content as part of the DLT for LCSA needs
to be defined. Furthermore, existing solutions for integrated and automated decision
support should be examined against the adaptability for LCSA. Ultimately, these
findings will contribute to the enhancement of the LCSA execution as well as to the
design of a support system to enable an environmentally and socially sound design
of products and services.
References
Abeyratne S, Monfared R (2016) Blockchain ready manufacturing supply Chain using distributed
ledger. Int J Res Eng Technol 05
Barni A et al (Sep. 2018) Exploiting the digital twin in the assessment and optimization of
sustainability performances. In Theory, Research and Innovation in Applications, Portugal,
pp. 706–713
Brundage MP et al (2018) Analyzing environmental sustainability methods for use earlier in the
product lifecycle. J Cleaner Prod 187
Buchert T et al (2019) Increasing resource efficiency with an engineering decision support system
for comparison of product design variants. J Clean Prod 210:1051–1062
Cerri D, Terzi S (2016) Improving manufacturing system’s lifecycle: proposal of a closed loop
framework. In: IFIP Advances in information and communication technology, vol. 467, Product
lifecycle management in the era of internet of things, Cham: Springer, 2016, pp. 554–561.
Chandrakumar C, Kulatunga AK, Mathavan S (2017) A multi-criteria decision-making model to
evaluate sustainable product designs based on the principles of design for sustainability and fuzzy
analytic hierarchy process. In: Innovation S (ed) Systems and technologies, sustainable design
and manufacturing 2017. Springer International Publishing, Cham, pp 347–354
Cooper J et al (2013) Big data in life cycle assessment. J Ind Ecol 17(6):796–799
DIN EN ISO 14044:2006, 14044, 2006.
DIN EN ISO 14040:2006 (2009) 14040
Finkbeiner M, Schau EM, Lehmann A, Traverso M (2010) Towards life cycle sustainability
assessment. Sustainability 2(10):3309–3322
Garcia-Muiña F, González-Sánchez R, Ferrari A, Settembre-Blundo D (2018) The paradigms of
industry 4.0 and circular economy as enabling drivers for the competitiveness of businesses and
territories: the case of an italian ceramic tiles manufacturing company. Soc Sci 7(12):255
Gayraud S, Singh R (1997) A techno-economic computational tool for power generation project
assessments and life cycle risk management. In: ASME 1997 Turbo Asia Conference, Singapore.
pp 1–8
343
fact, that there is no known implementation of a DLT for LCSA, there is also no data
basis for an assessment. Questions to be answered in this context are: Can LCSA
be applied to an underlying DLT system? Which specific characteristics need to be
taken into account? As a DLT is not solely a hardware neither a software product,
different requirements might arise. If a DLT is defined as a CPS, the LCSA of a CPS
can be used for guidance (Gürdür and Gradin 2017). Other orientations could be
LCSA of Product Service Systems (PSS) (Peruzzini and Germani 2013), if a DLT is
understood as a system of a physical product and accompanying services.
Future research steps should focus on the elaboration of the DLT concept as
well as the sustainability assessment of DLT implementations. In particular, the
applicable data structure and information content as part of the DLT for LCSA needs
to be defined. Furthermore, existing solutions for integrated and automated decision
support should be examined against the adaptability for LCSA. Ultimately, these
findings will contribute to the enhancement of the LCSA execution as well as to the
design of a support system to enable an environmentally and socially sound design
of products and services.
References
Abeyratne S, Monfared R (2016) Blockchain ready manufacturing supply Chain using distributed
ledger. Int J Res Eng Technol 05
Barni A et al (Sep. 2018) Exploiting the digital twin in the assessment and optimization of
sustainability performances. In Theory, Research and Innovation in Applications, Portugal,
pp. 706–713
Brundage MP et al (2018) Analyzing environmental sustainability methods for use earlier in the
product lifecycle. J Cleaner Prod 187
Buchert T et al (2019) Increasing resource efficiency with an engineering decision support system
for comparison of product design variants. J Clean Prod 210:1051–1062
Cerri D, Terzi S (2016) Improving manufacturing system’s lifecycle: proposal of a closed loop
framework. In: IFIP Advances in information and communication technology, vol. 467, Product
lifecycle management in the era of internet of things, Cham: Springer, 2016, pp. 554–561.
Chandrakumar C, Kulatunga AK, Mathavan S (2017) A multi-criteria decision-making model to
evaluate sustainable product designs based on the principles of design for sustainability and fuzzy
analytic hierarchy process. In: Innovation S (ed) Systems and technologies, sustainable design
and manufacturing 2017. Springer International Publishing, Cham, pp 347–354
Cooper J et al (2013) Big data in life cycle assessment. J Ind Ecol 17(6):796–799
DIN EN ISO 14044:2006, 14044, 2006.
DIN EN ISO 14040:2006 (2009) 14040
Finkbeiner M, Schau EM, Lehmann A, Traverso M (2010) Towards life cycle sustainability
assessment. Sustainability 2(10):3309–3322
Garcia-Muiña F, González-Sánchez R, Ferrari A, Settembre-Blundo D (2018) The paradigms of
industry 4.0 and circular economy as enabling drivers for the competitiveness of businesses and
territories: the case of an italian ceramic tiles manufacturing company. Soc Sci 7(12):255
Gayraud S, Singh R (1997) A techno-economic computational tool for power generation project
assessments and life cycle risk management. In: ASME 1997 Turbo Asia Conference, Singapore.
pp 1–8