Analytical Tools for Environmental Design and Management in a Systems Perspective: The Combined Use of Analytical Tools
Nicoline Wrisberg · Helias A. Udo de Haes · Ursula Triebswetter · Peter Eder · R. Clift
dec. 2012 · Eco-Efficiency in Industry and Science 10. knjiga · Springer Science & Business Media
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O tej e-knjigi
The aim of this book is to link demand and supply of environmental information in the field of Life Cycle Management. The book is based on the results of the CHAINET concerted action financed by EU-DGXII for the work period 1998-2000, and is intended to build bridges between the different scientific communities in the field of Life Cycle Management. A structured approach is followed, meaning that both demand and supply of environmental information are characterised, after which the two are linked.
Chapter 2 deals with the demand side; a number of characteristics are identified including the object of analysis, different question types, consecutive decision steps, and the cultural context of the decision at hand. Chapter 3 gives an overview of the supply side, distinguishing between concepts, analytical tools, procedural tools, technical elements, and data. The focus of the book is on analytical tools. In Chapter 4 and in a 34-page annex, eleven analytical tools are systematically described, including LCA, MIPS, ERA, MFA, SFA, CERA, IOA, analytical tools for ecodesign, LCC, TCA, and CBA.
In Chapter 5, demand and supply are linked, starting from the question types and indicating which types of tools are particularly suited for which type of question. For instance, it is shown that LCA is particularly useful for operational questions, but less so for more strategic questions. Other aspects concern the distinction between a broad overview and a detailed analysis, and, interestingly, the cultural context of the decision. It appears that without agreement on the criteria to be used, quantitative analytical tools such as LCA, ERA, or CBA may not be very helpful as support for decision-making. Rather more robust quantitative, or even qualitative, tools may then be used instead.
Chapter 6 makes a number of concluding remarks. A plea is made for the combined use of tools, rather than the development of a super tool. Another important topic concerns the customisation of tools, which is seen as quite useful if combined with a periodic validation against a more detailed analysis.
In the text of the preceding chapters, 26 text boxes are included as practical illustrations of the principles described in the text. In the following chapters, three cases are presented, dealing with electronic goods, the car, and clothes washing. These cases show how, in practice, different tools are used in combination, as a support for a given decision situation.
The book is particularly suited for courses in higher education, both for universities and polytechnics, and for use by consultancy firms, by larger companies, and industrial branch organisations.
Chapter 2 deals with the demand side; a number of characteristics are identified including the object of analysis, different question types, consecutive decision steps, and the cultural context of the decision at hand. Chapter 3 gives an overview of the supply side, distinguishing between concepts, analytical tools, procedural tools, technical elements, and data. The focus of the book is on analytical tools. In Chapter 4 and in a 34-page annex, eleven analytical tools are systematically described, including LCA, MIPS, ERA, MFA, SFA, CERA, IOA, analytical tools for ecodesign, LCC, TCA, and CBA.
In Chapter 5, demand and supply are linked, starting from the question types and indicating which types of tools are particularly suited for which type of question. For instance, it is shown that LCA is particularly useful for operational questions, but less so for more strategic questions. Other aspects concern the distinction between a broad overview and a detailed analysis, and, interestingly, the cultural context of the decision. It appears that without agreement on the criteria to be used, quantitative analytical tools such as LCA, ERA, or CBA may not be very helpful as support for decision-making. Rather more robust quantitative, or even qualitative, tools may then be used instead.
Chapter 6 makes a number of concluding remarks. A plea is made for the combined use of tools, rather than the development of a super tool. Another important topic concerns the customisation of tools, which is seen as quite useful if combined with a periodic validation against a more detailed analysis.
In the text of the preceding chapters, 26 text boxes are included as practical illustrations of the principles described in the text. In the following chapters, three cases are presented, dealing with electronic goods, the car, and clothes washing. These cases show how, in practice, different tools are used in combination, as a support for a given decision situation.
The book is particularly suited for courses in higher education, both for universities and polytechnics, and for use by consultancy firms, by larger companies, and industrial branch organisations.
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