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  4. Operations research for sustainability assessment of products: a review
 
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Operations research for sustainability assessment of products: a review

Publikationstyp
Journal Article
Date Issued
2019-04-01
Sprache
English
Author(s)
Thies, Christian  orcid-logo
Kieckhäfer, Karsten  
Spengler, Thomas Stefan  
Sodhi, Manbir S.  
TORE-URI
http://hdl.handle.net/11420/14143
Journal
European journal of operational research  
Volume
274
Issue
1
Start Page
1
End Page
21
Citation
European Journal of Operational Research 274 (1): 1-21 (2019-04-01)
Publisher DOI
10.1016/j.ejor.2018.04.039
Scopus ID
2-s2.0-85047245501
Publisher
Elsevier
The environmental and social impacts of products are being increasingly scrutinized. This necessitates systematic assessment methods. Life Cycle Sustainability Assessment (LCSA) provides a framework to addresses diverse sustainability issues over the product's life cycle, but its application is complicated. Major challenges, such as the selection of relevant indicators, multi-criteria comparisons of alternatives, the treatment of uncertainties, or the integration of spatially differentiated data, can be facilitated by adopting advanced analytical methods from Operations Research. This paper reviews 142 articles that use Operations Research methods for product-related sustainability assessments. The articles were selected from peer-reviewed scientific literature in a systematic search and screening process. Descriptive analysis shows that related publication output is growing over time and originates mainly in journals related to Environmental Management. While ecological indicators are considered by most articles, the integration of economic and social indicators is emerging. Focusing on the contributions of Operations Research, a detailed analysis shows that more than half of the articles adopt methods from Multi-Attribute Decision Making (MADM), followed by Data Envelopment Analysis (DEA) and Multi-Objective Decision Making (MODM). Uncertainties with regard to inventory data and decision makers’ preferences are addressed using fuzzy logic, stochastic models, or sensitivity analysis. The use of spatially differentiated data is not frequently found in the reviewed articles. Research needs derived from this analysis comprise the integration of qualitative and semi-quantitative (social) indicators, the simultaneous consideration of global and local sustainability objectives, and the application of systematic procedures to address uncertainty.
Subjects
Data envelopment analysis
Literature review
Multiple criteria analysis
OR in environment and climate change
Product sustainability
DDC Class
330: Wirtschaft
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