A decision-support tool for prioritizing environmental actions with complementary circularity insights at company and industrial park levels

Industrial activities account for 28 % of global greenhouse gas emissions, and many operational decisions at company (micro) and industrial park (meso) levels are taken without quantitative ex-ante assessment of their environmental and circularity impacts. This paper presents a low-effort decision-support tool (DST) that integrates life cycle assessment and multi-criteria decision-making to rank operational actions by environmental performance while assessing circularity as a complementary aspect. The DST requires only three readily available company inputs (number of employees, electricity demand, and transport distance), while 15 generic and 5 case-specific actions are pre-quantified for five environmental indicators. Methodologically, the DST contributes a generic ex-ante scoring tool that combines LCA results with core MCDM elements (normalization, weighting, aggregation) and adds a complementary circularity perspective. It produces a single environmental score per action and action portfolio, alongside circularity information based on R-strategies and optional circularity indicators. Applications to a consulting firm, an electronics manufacturer, a soil-treatment company, and a detergent producer show that selected action portfolios can reduce annual greenhouse gas emissions by up to 10 kt CO 2 -eq, cumulative energy demand by 148 TJ, and raw material input by 58 kt. The applications also reveal trade-offs, such as increased land use for some renewable electricity options. Workplace and mobility actions dominate in service-oriented contexts, whereas logistics and closed-loop product actions (e.g., refill packaging, internal PA 6.6 regranulation) are most effective in production settings. The DST’s contribution is a micro–meso tool that can jointly inform environmental and circularity decisions across various sectors. • An ex-ante assessment tool used by companies to reduce environmental impacts • 20 pre-quantified actions for companies • Five environmental indicators with complementary circular economy aspects • Action-based max normalization, equal weighting, and linear aggregation for scoring • Supports decision-making and resource allocation with minimal input data

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Publication Details

Journal
Cleaner Environmental Systems
Published
2026-04-17
DOI
https://doi.org/10.1016/j.cesys.2026.100441
Primary Topic
Sustainable Industrial Ecology
Type
article
Field-Weighted Citation Impact
0.00

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article

A decision-support tool for prioritizing environmental actions with complementary circularity insights at company and industrial park levels

Annalisa Nolte, Benedikt Verkic, Kathrin Greiff, Juliano B. Araujo
Cleaner Environmental Systems
Sustainable Industrial Ecology
article

A decision-support tool for prioritizing environmental actions with complementary circularity insights at company and industrial park levels

Annalisa Nolte, Benedikt Verkic, Kathrin Greiff, Juliano B. Araujo
article en

Abstract

Industrial activities account for 28 % of global greenhouse gas emissions, and many operational decisions at company (micro) and industrial park (meso) levels are taken without quantitative ex-ante assessment of their environmental and circularity impacts. This paper presents a low-effort decision-support tool (DST) that integrates life cycle assessment and multi-criteria decision-making to rank operational actions by environmental performance while assessing circularity as a complementary aspect. The DST requires only three readily available company inputs (number of employees, electricity demand, and transport distance), while 15 generic and 5 case-specific actions are pre-quantified for five environmental indicators. Methodologically, the DST contributes a generic ex-ante scoring tool that combines LCA results with core MCDM elements (normalization, weighting, aggregation) and adds a complementary circularity perspective. It produces a single environmental score per action and action portfolio, alongside circularity information based on R-strategies and optional circularity indicators. Applications to a consulting firm, an electronics manufacturer, a soil-treatment company, and a detergent producer show that selected action portfolios can reduce annual greenhouse gas emissions by up to 10 kt CO 2 -eq, cumulative energy demand by 148 TJ, and raw material input by 58 kt. The applications also reveal trade-offs, such as increased land use for some renewable electricity options. Workplace and mobility actions dominate in service-oriented contexts, whereas logistics and closed-loop product actions (e.g., refill packaging, internal PA 6.6 regranulation) are most effective in production settings. The DST’s contribution is a micro–meso tool that can jointly inform environmental and circularity decisions across various sectors. • An ex-ante assessment tool used by companies to reduce environmental impacts • 20 pre-quantified actions for companies • Five environmental indicators with complementary circular economy aspects • Action-based max normalization, equal weighting, and linear aggregation for scoring • Supports decision-making and resource allocation with minimal input data

Cleaner Environmental SystemsVol. 21
Pforzheim University of Applied Sciences (DE), RWTH Aachen University (DE)
Bundesministerium für Wirtschaft und Energie
Openalex Percentile: Top 12%
Sustainable Industrial Ecology
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