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Introducing measurement science into sustainability systems

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Abstract

In this paper, we discuss perspectives of adopting procedures of metrology, the science of measurements, into sustainability assessments. We present an overview of general concepts of system theory, sustainability, and sustainability metrics. We use these concepts together with the Guide to the Expression of Uncertainty in Measurement (GUM) metrological approach to include estimation of uncertainties and sensitivity analysis in the model framework to construct aggregated sustainability indicators proposed by Santos and Brandi. To illustrate the method, we apply Canberra distance to study the sustainability of the integration and logistic infrastructure dimension of the biodiesel supply chain in Brazil and Germany. Sustainability has been embodied into government, industries and corporations’ policies through standards, conformity assessment, and metrology. This increases the need for sound measurements to address sustainability. To perform sensitivity analysis, we propose an expression to evaluate changes in the sustainability index due to variations in a given indicator, generalizing the linear approximation of the GUM framework. We concluded that metrological procedures can be applied to estimate uncertainties of sustainability systems and their components. Adopting metrological procedures may be an important step to harmonize approaches involving measurements in sustainability systems. Sensitivity analysis provides information about the influence on the sustainability index due to variations of indicators from sustainability systems.

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Notes

  1. OIML stands for Organisation Internationale de Métrologie Légale (International Organization of Legal Metrology); ILAC stands for International Laboratory Accreditation Cooperation.

  2. JCGM stands for Joint Committee for Guides in Metrology. It is the BIPM Working Group with responsibility to maintain and promote the use of the Guide to the Expression of Uncertainty in Measurement (GUM).

  3. ISSN: 0895-5646 (Print) 1573-0476 (Online). Available at http://springer.longhoe.net/journal/11166.

References

  • Ameta G, Rachuri S, Fiorentini X, Mani M, Fenves SJ, Lyons KW, Sriram RD (2011) Extending the notion of quality from physical metrology to information and sustainability. J Intell Manuf 22(5):737–750. doi:10.1007/s10845-009-0333-3

    Article  Google Scholar 

  • Arrow KJ (1963) Social choice and individual values, 2nd edn. Wiley, New York

    Google Scholar 

  • Baratto AC, Bezerra IL (2013) Relative sensitivity of combined standard uncertainty to changes induced in uncertainty components. Accred Qual Assur 18(2):129–135. doi:10.1007/s00769-013-0954-2

    Article  Google Scholar 

  • Bertalanffy LV (1968) General system theory: foundations, development, applications. Braziller, New York

    Google Scholar 

  • BIPM (2008a) Evaluation of measurement data—guide to the expression of uncertainty in measurement, vol JCGM 100:2008. Bureau International des Poids et Measures (BIPM), Paris

  • BIPM (2008b) Evaluation of measurement data—Supplement 1 to the “Guide to the expression of uncertainty in measurement”—Propagation of distributions using a Monte Carlo method, vol JCGM 101:2008. Bureau International des Poids et Measures (BIPM), Paris

  • BIPM (2011) Common statement and declaration by the BIPM, OIML and ILAC on the relevance of various international agreements on metrology to trade, legislation and standardization. http://www.bipm.org/en/cipm-mra/bipm-oiml-ilac_joint_declaration.html

  • BIPM (2012) International vocabulary of metrology—basic and general concepts and associated terms (VIM), vol JCGM 200:2012. Bureau International des Poids et Measure (BIPM), Paris

  • Brandi H, de Souza T (2009) Metrology infrastructure for sustainable development of the Americas: the role of SIM. Accred Qual Assur 14(10):567–573. doi:10.1007/s00769-009-0534-7

    Article  Google Scholar 

  • Brandi HS, Daroda RJ, Olinto AC (2013) The use of the Canberra metrics to aggregate metrics to sustainability. Clean Technol Environ Policy. doi:10.1007/s10098-013-0690-7

    Google Scholar 

  • Couto PRG, Damasceno JC, Oliveira SPD (2013) Monte Carlo simulations applied to uncertainty in measurement. In: Chan VWK (ed) Theory and applications of Monte Carlo simulations. Intech, Croatia, p 24. doi:10.5772/45892

    Google Scholar 

  • Ebert U, Welsch H (2004) Meaningful environmental indices: a social choice approach. J Environ Econ Manag 47:13

    Article  Google Scholar 

  • FT (2015) Definition of business sustainability. Financial Times. http://lexicon.ft.com/Term?term=business-sustainability. Accessed 30 July 2015

  • Gough C, Castells N, Funtowicz S (1998) Integrated Assessment: an emerging methodology for complex issues. Environ Model Assess 3(1–2):19–29

    Article  Google Scholar 

  • Hair JF, Anderson RE, Tatham RL, Black WC (2005) Multivariate data analysis, 5th edn. Prentice Hall Inc, Upper Saddle River

    Google Scholar 

  • Hall B (2000) Computer modelling of uncertainty calculations with finite degrees of freedom. Meas Sci Technol 11(9):1335

    Article  CAS  Google Scholar 

  • ISO (2005) ISO 9000:2005, quality management systems—fundamentals and vocabulary. International Organization for Standardization (ISO), Geneva

    Google Scholar 

  • Kessel R, Kacker R, Berglund M (2006) Coefficient of contribution to the combined standard uncertainty. Metrologia 43(4):S189

    Article  Google Scholar 

  • Klemeš J (2015) Assessing and measuring environmental impact and sustainability. Clean Technol Environ Policy 17(3):577–578. doi:10.1007/s10098-015-0930-0

    Article  Google Scholar 

  • Martins AA, Mata TM, Costa CA, Sikdar SK (2007) Framework for sustainability metrics. Ind Eng Chem Res 46(10):2962–2973

    Article  CAS  Google Scholar 

  • Mata TM, Martins AA, Sikdar SK, Costa CAV (2011) Sustainability considerations of biodiesel based on supply chain analysis. Clean Technol Environ Policy 13(5):655–671

    Article  Google Scholar 

  • Nardo M, Saisana M, Tarantola ASS, Hoffman A, Giovannini E (2008) Handbook on Constructing Composite Indicators, Methodology and User Guide. OECD Statistics Working Paper:158

  • Oracle (2015) Oracle Crystal Ball. User’s Guide: Sensitivity Chart Views, vol 2015, 11.1.2.2.000 edn

  • Polderman JW, Willems J (1998) Introduction to the mathematical theory of systems and control. Springer, New York

    Book  Google Scholar 

  • Santos S, Brandi H (2014) A canonical correlation analysis of the relationship between sustainability and competitiveness. Clean Technol Environ Policy 16(8):1735–1746. doi:10.1007/s10098-014-0755-2

    Article  Google Scholar 

  • Santos SF, Brandi HS (2015a) Application of the GUM approach to estimate uncertainties in sustainability systems. Clean Technol Environ Policy. doi:10.1007/s10098-015-1029-3

    Google Scholar 

  • Santos SF, Brandi HS (2015b) Model framework to construct a single aggregate sustainability indicator: an application to the biodiesel supply chain. Clean Technol Environ Policy 17:1–12

    Article  Google Scholar 

  • Santos SF, Borschiver S, de Souza V (2014) Map** Sustainable Structural Dimensions for Managing the Brazilian Biodiesel Supply Chain. 2014 9 (1). doi:10.4067/S0718-27242014000100003

  • Sengupta D, Mukherjee R, Sikdar SK (2015a) Environmental sustainability of countries using the UN MDG indicators by multivariate statistical methods. Environ Prog Sustain Energy 34(1):198–206

    Article  CAS  Google Scholar 

  • Sengupta D, Mukherjee R, Sikdar SK (2015b) Moving to a decision point in sustainability analysis. In: Klemes JJ (ed) Assessing and measuring environmental impact and sustainability. Butterworth–Heinemann–Elsevier, Amsterdam

    Google Scholar 

  • Sikdar SK (2003a) Journey towards sustainable development: a role for chemical engineers. Environ Prog 22(4):227–232

    Article  CAS  Google Scholar 

  • Sikdar SK (2003b) Sustainable development and sustainability metrics. AIChE J 49(8):1928–1932

    Article  CAS  Google Scholar 

  • Sikdar S (2009) On aggregating multiple indicators into a single metric for sustainability. Clean Technol Environ Policy 11(2):157–161. doi:10.1007/s10098-009-0225-4

    Article  Google Scholar 

  • Sikdar SK, Brandi HS (2014) How to quantify sustainability in construction and manufacturing, and the need for standards. In: Ayyub BM, Galloway GE, Wright RN (eds) Measurement Science for Sustainable Construction and Manufacturing Workshop, Gaithersburg, MD, 12–13 June, 2014 2014. vol NIST GCR 15-986-2. NIST-ASCE-ASME, Gaithersburg, MD., p 204. doi:10.6028/NIST.GCR.15-986-2

  • Sikdar S, Sengupta D, Harten P (2012) More on aggregating multiple indicators into a single index for sustainability analyses. Clean Technol Environ Policy 14(5):765–773. doi:10.1007/s10098-012-0520-3

    Article  Google Scholar 

  • WCED (1987) Our common future: report of the world commission on environment and development (trans: Development WCoEa). UN, The United Nations - UN, Genebra

    Google Scholar 

  • Welsch H (2005) Constructing meaningful sustainability indices. In: Böhringer C, Lange A (eds) Applied research in environmental economics, vol 31. ZEW Economic Studies. Physica-Verlag HD. pp 7–22. doi:10.1007/3-7908-1645-0_2

  • WHO (2015) Risk assessment. World Health Organization (WHO). http://www.who.int/foodsafety/risk-analysis/riskassessment/en/

  • World Bank T (2014) Logistics Performance Index (LPI). World Bank, Washington

    Google Scholar 

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Correspondence to Humberto Siqueira Brandi.

Appendix

Appendix

See Box 1.

Box 1 Description, units and sources of the indicators associated with ILI dimension

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Brandi, H.S., dos Santos, S.F. Introducing measurement science into sustainability systems. Clean Techn Environ Policy 18, 359–371 (2016). https://doi.org/10.1007/s10098-015-1044-4

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