How to quantify social impacts in strategic supply chain optimization: State of the art
| Autor: | Lukas Messmann, Victoria Zender, Andrea Thorenz, Axel Tuma |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Social impact assessment
Renewable Energy Sustainability and the Environment Computer science Strategy and Management media_common.quotation_subject Field (Bourdieu) Multi-objective optimization Industrial and Manufacturing Engineering Facility location problem Weighting Risk analysis (engineering) ddc:330 Function (engineering) Supply chain optimization Set (psychology) General Environmental Science media_common |
| Zdroj: | Journal of Cleaner Production. 257:120459 |
| ISSN: | 0959-6526 |
| Popis: | The development of quantitative social indicators and methods for social impact assessment is not yet on par with their environmental counterparts. This deficit is especially apparent in strategic supply chain optimization. This literature study reviews 91 articles on strategic supply chain optimization to identify the state-of-the-art in this field and to derive a meaningful agenda for future research. First, the review gives an overview on social frameworks, how articles use them to justify the selection of specific social aspects in their studies, and the differences in selected aspects between different kinds of case studies. Second, the social objective functions are compared in detail. This includes social indicators, i.e. how certain aspects are measured, and how they are integrated in optimization models as input parameters. This allows for an analysis of the relations between decision variables (e.g. for facility location or material flows) and attributed social impacts, as well as of the aggregation of social impacts with different units within the same function. Our results show that the number of created jobs is often the only or primary indicator. If more than one indicator is employed in objective functions, a sizable number of studies addresses the problem of aggregation by weighting towards a dimensionless, generic social score. This review sheds light on the need for more sophisticated methods of social impact assessment and social Pareto optimization. It also assists researchers in identifying previously used, feasible parameters in optimization models, in order to contribute to a more comprehensive and more consistently applied set of social indicators. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect