Dual DEA Model for Resilience and Sustainability Assessment in Maintenance Systems: A Multi-Objective Genetic Approach with Dairy Plant Case Study

Authors

https://doi.org/10.48314/ijorai.v1i3.71

Abstract

In this study, a novel model based on dual Data Envelopment Analysis (DEA) and a Multi‑Objective Genetic Algorithm (MOGA) was developed to simultaneously evaluate and optimize resilience and sustainability in industrial maintenance and repair systems. The proposed model introduces new composite indices—the Composite Resilience Index (CRI) and the Composite Sustainability Index (CSI)—and employs dynamic weighting through Shannon entropy, enabling a concurrent analysis of technical efficiency, responsiveness to operational disruptions, and environmental adaptability. By incorporating the balancing function |CRI − CSI|, the model identifies an equilibrium between conflicting resilience and sustainability objectives. Implemented within the hybrid MOGA–DEA–Composite Resilience Frontier (CRF) framework, the approach was examined in a dairy factory consisting of three production lines. The results revealed that the monthly Preventive Maintenance (PM) policy (S₁) achieved a DEA efficiency score of 0.92, with CRI = 0.83, CSI = 0.86, and a 15% cost reduction, thus representing the optimal trade‑off among multiple objectives. Sensitivity analysis confirmed the model’s stability against changes in objective weights and its strong generalizability. This research ultimately provides an intelligent decision‑support framework for industrial managers in designing resilient and sustainable maintenance policies, particularly for Industry 5.0 manufacturing environments.

Keywords:

Dual data envelopment analysis, Multi objective genetic algorithm, Resilience, Sustainability, Composite resilience frontier, Intelligent maintenance

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Published

2025-09-23

Issue

Vol. 1 No. 3 (2025): International Journal of Operations Research and Artificial Intelligence (IJORAI)

Section

Articles

How to Cite

Raeiszadeh, M. ., Gerami, J. ., Mozaffari, M. R. ., & Shirouyehzad, H. . (2025). Dual DEA Model for Resilience and Sustainability Assessment in Maintenance Systems: A Multi-Objective Genetic Approach with Dairy Plant Case Study. International Journal of Operations Research and Artificial Intelligence , 1(3), 148-165. https://doi.org/10.48314/ijorai.v1i3.71

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