Introducing measurement science into sustainability systems
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- 作者：Humberto Siqueira Brandi…
- 关键词：Sustainability metrics ; Metrology ; Uncertainty estimation ; GUM approach
- 刊名：Clean Technologies and Environmental Policy
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：18
- 期：2
- 页码：359-371
- 全文大小：577 KB
- 参考文献：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 CrossRef
Arrow KJ (1963) Social choice and individual values, 2nd edn. Wiley, New York
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 CrossRef
Bertalanffy LV (1968) General system theory: foundations, development, applications. Braziller, New York
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 CrossRef
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
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
Ebert U, Welsch H (2004) Meaningful environmental indices: a social choice approach. J Environ Econ Manag 47:13CrossRef
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):19–29CrossRef
Hair JF, Anderson RE, Tatham RL, Black WC (2005) Multivariate data analysis, 5th edn. Prentice Hall Inc, Upper Saddle River
Hall B (2000) Computer modelling of uncertainty calculations with finite degrees of freedom. Meas Sci Technol 11(9):1335CrossRef
ISO (2005) ISO 9000:2005, quality management systems—fundamentals and vocabulary. International Organization for Standardization (ISO), Geneva
Kessel R, Kacker R, Berglund M (2006) Coefficient of contribution to the combined standard uncertainty. Metrologia 43(4):S189CrossRef
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 CrossRef
Martins AA, Mata TM, Costa CA, Sikdar SK (2007) Framework for sustainability metrics. Ind Eng Chem Res 46(10):2962–2973CrossRef
Mata TM, Martins AA, Sikdar SK, Costa CAV (2011) Sustainability considerations of biodiesel based on supply chain analysis. Clean Technol Environ Policy 13(5):655–671CrossRef
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 YorkCrossRef
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 CrossRef
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
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 17:1–12CrossRef
Santos SF, Borschiver S, de Souza V (2014) Mapping 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):198–206CrossRef
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
Sikdar SK (2003a) Journey towards sustainable development: a role for chemical engineers. Environ Prog 22(4):227–232CrossRef
Sikdar SK (2003b) Sustainable development and sustainability metrics. AIChE J 49(8):1928–1932CrossRef
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 CrossRef
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 CrossRef
WCED (1987) Our common future: report of the world commission on environment and development (trans: Development WCoEa). UN, The United Nations - UN, Genebra
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 - 作者单位：Humberto Siqueira Brandi (1)
Silvio Francisco dos Santos (1)
1. Instituto Nacional de Metrologia, Qualidade e Tecnologia (Inmetro), Av. N. S. das Graças 50, Duque de Caxias, RJ, 25250-020, Brazil - 刊物类别：Engineering
- 刊物主题：Industrial and Production Engineering
Industrial Chemistry and Chemical Engineering
Industrial Pollution Prevention
Environmental Economics - 出版者：Springer Berlin / Heidelberg
- ISSN：1618-9558
文摘
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. Keywords Sustainability metrics Metrology Uncertainty estimation GUM approach