A Comprehensive Approach for Performance Evaluation in  Petrochemical Industry: Integrating Sustainable Balanced  Scorecard, Dynamic Network DEA, and DEMATEL in a  Neutrosophic Environment

Hasan Abedifar; Bijan Rahmani Parchikolaei; Seyyed Mohammad Hadji Molana; Mahnaz  Ahadzadeh Namin

Authors

Hasan Abedifar Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Bijan Rahmani Parchikolaei Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Seyyed Mohammad Hadji Molana Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Mahnaz Ahadzadeh Namin Department of Mathematics, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran.

Keywords:

Dynamic network DEA, DNSBM, Sustainable Balanced Scorecard (SBSC), DEMATEL, Neutrosophic.

Abstract

Sustainability is increasingly vital in modern industries, necessitating comprehensive
evaluation frameworks that assess both efficiency and sustainability. This paper introduces a novel
approach to evaluating the efficiencies of Decision-Making Units (DMUs) using a Sustainable
Balanced Scorecard (SBSC), dynamic network DEA, and DEMATEL within a Neutrosophic
environment. Through Neutrosophic DEMATEL, we explored complex relationships among SBSC
perspectives, gaining valuable insights into performance interactions. Industry experts defined key
performance indicators (KPIs) specific to strategic objectives, which were incorporated into a
Dynamic Network Slack-Based Measure (DNSBM) model for precise performance assessment. We
employed a two-phase approach for evaluation in a Neutrosophic environment. Phase I addressed
the dual roles of intermediate measures and carry-over activities using a MILP model. Phase II
utilized optimal solutions from Phase I for performance evaluation. To manage uncertainty within
the model, we transformed the proposed model into deterministic forms. This enabled computation
of efficiency boundaries at varying degrees of variation, providing robust performance analysis. To
validate the proposed approach, we analyzed nine oil refineries from the Marun Petrochemical
Complex (MPC) across various perspectives for the years 1400 and 1401. The findings reveal that
DMU9 consistently exhibits high performance, while DMU3 shows significant declines, particularly
in the Customer and Environment perspectives. Other DMUs displayed mixed results, indicating
both progress and regress, highlighting the dynamic nature of performance metrics. Our study
demonstrates the value of combining expert knowledge with advanced analytical methods for a
detailed understanding of organizational performance, with potential applications across various
industries, including the petrochemical sector