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Ambiguities in Decision-oriented Life Cycle Inventories

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Cover of 'Ambiguities in Decision-oriented Life Cycle Inventories'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 LCA as Method and its Modelling Characteristics
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    Chapter 3 Requirements of LCIs in Product Design-Related Decision-Making
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    Chapter 4 Introduction
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    Chapter 5 Analysis of ISO 14041 for Mental Models and Values
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    Chapter 6 Allocation Procedures for Open-Loop Recycling
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    Chapter 7 The Decision-Maker’s Mental Models and Values in Inventory Analysis
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    Chapter 8 Introduction
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    Chapter 9 Material and Market Characteristics of Aluminium
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    Chapter 10 Development of the Value-Corrected Substitution for Aluminium Windows
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    Chapter 11 Selected Allocation Procedures for Comparison
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    Chapter 12 Application in an LCA of Aluminium Windows
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    Chapter 13 Methodological Conclusions
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    Chapter 14 Introduction
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    Chapter 15 Material and Market Characteristics of Wood
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    Chapter 16 Sustainable Wood Flow Management
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    Chapter 17 Wood Processing Chain and Attribution in LCA
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    Chapter 18 Modelling End-of-Life Options of Beech Wood Railway Sleepers
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    Chapter 19 Conclusions
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    Chapter 20 Review of the Theses
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    Chapter 21 Consequences for LCA as a Decision Support Tool
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    Chapter 22 Consequences for a Revision of ISO/EN 14041
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    Chapter 23 Toward a Group-Model Building Process in LCA
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    Chapter 24 Future Research Needs
Attention for Chapter 10: Development of the Value-Corrected Substitution for Aluminium Windows
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Chapter title
Development of the Value-Corrected Substitution for Aluminium Windows
Chapter number 10
Book title
Ambiguities in Decision-oriented Life Cycle Inventories
Published by
Springer, Dordrecht, January 2005
DOI 10.1007/1-4020-3254-4_10
Book ISBNs
978-1-4020-3253-0, 978-1-4020-3254-7
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Environmental Science 2 200%