Environmental performance measurement in the precast concrete sector using a fuzzy logic-based stakeholder-driven indicator selection

• Framework supports ERP integration and real-time sustainability monitoring. • Energy, water and waste indicators and most actionable with available production data. • Indicator framework enables continuous improvement beyond compliance goals. • Data-driven insights support transition to proactive environmental management. • Low attention to biodiversity and soil impact highlights key monitoring gaps. Sustainability assessments are increasingly important in the manufacturing sector, driven by new global sustainability reporting regulations. Although several methods and frameworks support compliance, many companies still face challenges due to limited data availability. This study presents a strategic method for selecting environmental indicators that not only support data collection and meet the requirements of the Corporate Sustainability Reporting Directive (CSRD) but can also be integrated into enterprise resource planning (ERP) systems. Focusing on the precast concrete sector, a systematic literature review (SLR) identified 97 sustainability performance indicators (SPIs), from which 39 environmental indicators were selected for further analysis. These were then refined to 26 indicators using expert input and the Fuzzy Delphi Analytic Hierarchy Process (FAHP). The final indicators fall into five main categories: waste, soil, water, air pollution, and energy. Among these, energy-related indicators were seen as most relevant due to the high energy demands of processes like concrete curing. In contrast, soil and air indicators were often overlooked, revealing gaps in current sustainability assessments. This study highlights the importance of integrating indicators into ERP systems to improve sustainability monitoring and support CSRD compliance. The results offer a practical framework to help decision-makers in the precast sector build data-driven, sector-specific sustainability strategies aligned with Industry 4.0.

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Publication Details

Journal
Results in Engineering
Published
2025-08-07
DOI
https://doi.org/10.1016/j.rineng.2025.106667
Primary Topic
Sustainable Building Design and Assessment
Type
article
Field-Weighted Citation Impact
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article

Environmental performance measurement in the precast concrete sector using a fuzzy logic-based stakeholder-driven indicator selection

Erwin Rauch, Dominik T. Matt, Marwa Ben Ali, Angie Katherin Salamanca-Cano
1 links
Results in Engineering
Sustainable Building Design and Assessment
article

Environmental performance measurement in the precast concrete sector using a fuzzy logic-based stakeholder-driven indicator selection

Erwin Rauch, Dominik T. Matt, Marwa Ben Ali, Angie Katherin Salamanca-Cano
article en

Abstract

• Framework supports ERP integration and real-time sustainability monitoring. • Energy, water and waste indicators and most actionable with available production data. • Indicator framework enables continuous improvement beyond compliance goals. • Data-driven insights support transition to proactive environmental management. • Low attention to biodiversity and soil impact highlights key monitoring gaps. Sustainability assessments are increasingly important in the manufacturing sector, driven by new global sustainability reporting regulations. Although several methods and frameworks support compliance, many companies still face challenges due to limited data availability. This study presents a strategic method for selecting environmental indicators that not only support data collection and meet the requirements of the Corporate Sustainability Reporting Directive (CSRD) but can also be integrated into enterprise resource planning (ERP) systems. Focusing on the precast concrete sector, a systematic literature review (SLR) identified 97 sustainability performance indicators (SPIs), from which 39 environmental indicators were selected for further analysis. These were then refined to 26 indicators using expert input and the Fuzzy Delphi Analytic Hierarchy Process (FAHP). The final indicators fall into five main categories: waste, soil, water, air pollution, and energy. Among these, energy-related indicators were seen as most relevant due to the high energy demands of processes like concrete curing. In contrast, soil and air indicators were often overlooked, revealing gaps in current sustainability assessments. This study highlights the importance of integrating indicators into ERP systems to improve sustainability monitoring and support CSRD compliance. The results offer a practical framework to help decision-makers in the precast sector build data-driven, sector-specific sustainability strategies aligned with Industry 4.0.

Results in EngineeringVol. 27
Free University of Bozen-Bolzano (IT), Fraunhofer Italia Research (IT)
Climate action
Openalex Percentile: Top 78%
Sustainable Building Design and Assessment
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