Analysis of the projection points of the sustainable supply chain of the concrete industry in Guilan Province with random data envelopment analysis
محورهای موضوعی :
Fatemeh Shoaeshargh
1
,
Mansour Soufi
2
,
Alireza Amirteimoori
3
,
Mahdi Fadaei Eshkiki
4
1 - Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran
2 - Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran
3 - Department of Applied Mathematics, Rasht Branch, Islamic Azad University, Rasht, Iran
4 - Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran
کلید واژه: Projection points, Stochastic data envelopment analysis (SDEA), sustainable supply chain, Concrete industry,
چکیده مقاله :
This study analyzes the sustainability of the concrete supply chain industry in Guilan province using stochastic data envelopment analysis. November 24By evaluating 21 mines and 15 companies across economic, social, and environmental dimensions, it was determined that only 19% of the mines and 13% of the companies are efficient in all three dimensions. The analysis of projection points indicated that inefficient units need to reduce personnel costs by an average of 15% and increase sales by 20%. This study provides practical solutions for improving sustainability in the concrete industry and can aid policymakers and managers in making informed decisions.
This study analyzes the sustainability of the concrete supply chain industry in Guilan province using stochastic data envelopment analysis. November 24By evaluating 21 mines and 15 companies across economic, social, and environmental dimensions, it was determined that only 19% of the mines and 13% of the companies are efficient in all three dimensions. The analysis of projection points indicated that inefficient units need to reduce personnel costs by an average of 15% and increase sales by 20%. This study provides practical solutions for improving sustainability in the concrete industry and can aid policymakers and managers in making informed decisions.
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