Journal of Engineering, Project, and Production Management, 2026, 16(2), 2025-186
An Ecological Efficiency-Based Framework for Environmental Risk Assessment in Manufacturing
1
Lecturer, School of Economics and Management, Xianyang Normal
University, Xianyang, 712000, China, E-mail: wangheng@snnu.edu.cn
(corresponding author).
2 Postgraduate, School of
Management, China University of Mining and Technology, Beijing, 100000,
China
3 Bachelor, Faculty of Business and
Economics, Monash University, Clayton VIC, 3800, Australia
4 Associate Professor, School of
Economics and Management, Xi’an Jiaotong University City College, Xi’an,
710018, China
Production Management
Received August 27, 2025; revised October 24, 2025; accepted October 26, 2025
Available online March 7, 2026
Abstract: With the accelerating global transition toward green manufacturing and ecological sustainability, establishing an efficient environmental risk assessment framework has become a critical requirement for sustainable industrial transformation. The study develops an environmental risk assessment system for the manufacturing industry based on ecological efficiency. By combining the Analytic Hierarchy Process (AHP)and the Fuzzy Comprehensive Evaluation (FCE) method. Additionally, the Particle Swarm Optimization (PSO) algorithm with the Genetic Algorithm (GA) were integrated into a unified multi-objective optimization framework, enabling the coordinated enhancement of both economic and environmental performance. Experimental results demonstrate that the proposed system achieves the shortest running time under small-scale enterprise conditions, approximately 9 seconds initially and under 20 seconds at 30 enterprises, with stable growth across larger scales. For a scale of 90-enterprises, the runtime remains about 42 seconds. It also exhibited the fewest convergence iterations across industries at around 30 for electronics and new energy sectors, with as few as 28 for new energy manufacturing, and the highest risk classification accuracy, exceeding 0.95. These findings emphasize the novelty of integrating multiple decision-making and optimization techniques into a cohesive eco-efficiency optimization framework, demonstrating significant potential for green decision-making, environmental risk control, and sustainable industrial development.
Keywords: Ecological efficiency, environmental risk assessment, manufacturing industry, multi-objective optimization, AHP, FCA.
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Citation: Wang, H., Han, M., Xiong, J., and Qi, W. (2025). An Ecological Efficiency-Based Framework for Environmental Risk Assessment in Manufacturing. Journal of Engineering, Project, and Production Management, 16(2), 2025-186.
