Regionalized Input-Output Life Cycle Sustainability Assessment: Food Production Case Study

2016 ◽  
pp. 959-968 ◽  
Author(s):  
Sergiy Smetana ◽  
Christine Tamasy ◽  
Alexander Mathys ◽  
Volker Heinz
Keyword(s):  
Life Cycle ◽  
Food Production ◽  
Sustainability Assessment ◽  
Life Cycle Sustainability Assessment ◽  
Input Output

Life-cycle sustainability assessment of pavement maintenance alternatives: Methodology and case study

2019 ◽  
Vol 213 ◽  
pp. 659-672 ◽  
Author(s):  
Xiaoyan Zheng ◽  
Said M. Easa ◽  
Zhengxian Yang ◽  
Tao Ji ◽  
Zhenliang Jiang
Keyword(s):  
Life Cycle ◽  
Sustainability Assessment ◽  
Life Cycle Sustainability Assessment ◽  
Pavement Maintenance

Evaluation of sustainable innovations in olive growing systems: A Life Cycle Sustainability Assessment case study in southern Italy

2018 ◽  
Vol 171 ◽  
pp. 1187-1202 ◽  
Author(s):  
Anna Irene De Luca ◽  
Giacomo Falcone ◽  
Teodora Stillitano ◽  
Nathalie Iofrida ◽  
Alfio Strano ◽  
...  
Keyword(s):  
Life Cycle ◽  
Southern Italy ◽  
Sustainability Assessment ◽  
Life Cycle Sustainability Assessment

scholarly journals Reusability based on Life Cycle Sustainability Assessment: Case Study on WEEE

Procedia CIRP ◽  
2014 ◽  
Vol 15 ◽  
pp. 473-478 ◽  
Author(s):  
Bin Lu ◽  
Bo Li ◽  
Lihui Wang ◽  
Jianxin Yang ◽  
Jingru Liu ◽  
...  
Keyword(s):  
Life Cycle ◽  
Sustainability Assessment ◽  
Life Cycle Sustainability Assessment

scholarly journals Setting Thresholds to Define Indifferences and Preferences in PROMETHEE for Life Cycle Sustainability Assessment of European Hydrogen Production

2021 ◽  
Vol 13 (13) ◽  
pp. 7009
Author(s):  
Christina Wulf ◽  
Petra Zapp ◽  
Andrea Schreiber ◽  
Wilhelm Kuckshinrichs
Keyword(s):  
Life Cycle ◽  
Hydrogen Production ◽  
Sustainability Assessment ◽  
Preference Ranking ◽  
Life Cycle Sustainability Assessment ◽  
New Approach ◽  
Outranking Methods ◽  
Proven Method ◽  
Clear Solution

The Life Cycle Sustainability Assessment (LCSA) is a proven method for sustainability assessment. However, the interpretation phase of an LCSA is challenging because many different single results are obtained. Additionally, performing a Multi-Criteria Decision Analysis (MCDA) is one way—not only for LCSA—to gain clarity about how to interpret the results. One common form of MCDAs are outranking methods. For these type of methods it becomes of utmost importance to clarify when results become preferable. Thus, thresholds are commonly used to prevent decisions based on results that are actually indifferent between the analyzed options. In this paper, a new approach is presented to identify and quantify such thresholds for Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE) based on uncertainty of Life Cycle Impact Assessment (LCIA) methods. Common thresholds and this new approach are discussed using a case study on finding a preferred location for sustainable industrial hydrogen production, comparing three locations in European countries. The single LCSA results indicated different preferences for the environmental, economic and social assessment. The application of PROMETHEE helped to find a clear solution. The comparison of the newly-specified thresholds based on LCIA uncertainty with default thresholds provided important insights of how to interpret the LCSA results regarding industrial hydrogen production.

scholarly journals A Life Cycle Sustainability Assessment-Based Decision-Analysis Framework

2018 ◽  
Vol 10 (11) ◽  
pp. 3863 ◽  
Author(s):  
Marwa Hannouf ◽  
Getachew Assefa
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Decision Analysis ◽  
Sustainability Assessment ◽  
Three Dimensions ◽  
Life Cycle Sustainability Assessment ◽  
Analysis Framework ◽  
Product Systems ◽  
Trade Offs

One of the main challenges in using life cycle sustainability assessment (LCSA) is the difficulty of integrating the interrelationships between the three dimensions (environmental, economic and social dimensions) of LCSA results in decision-making toward proposing sustainability improvements for existing product systems. This paper is addressing this challenge by presenting an LCSA-based decision-analysis framework, which is a systematic and structured framework that appraises the pool of potential actions determined based on LCSA results and evaluates their trade-offs to propose potential sustainability solutions. The framework is composed of two parts: (a) LCSA application; (b) decision-analysis approach. The decision analysis part of the framework is built based on some features from previous decision-making approaches and considering the characteristics of LCSA results. The decision-analysis part of the framework, which is the main focus of this study, is divided into five phases to propose and select some recommendations to improve the sustainability performance of product systems. The framework developed is illustrated using results from a previous LCSA case study. The framework can handle the complexity in understanding the interrelationships between the three dimensions of LCSA results, through a structured way of dividing the process into manageable steps. Further work is still needed to apply this framework to a real case study.

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