چكيده به لاتين
This research aims to design a model and roadmap for knowledge-based resilient maintenance excellence in the petrochemical industry, and it can also be applied in the oil and gas sectors.. This project is a collaboration between Tabriz Petrochemical and Iran University of Science and Technology. This model and roadmap focus on increasing: equipment effectiveness, reliability, resilience, continuous improvement, learning, and sustainability, while reducing: safety incidents, environmental issues, resource consumption (water, energy), costs, and waste, simultaneously enhancing maintenance effectiveness and operational efficiency.. Key findings highlight that 45% of stoppages and 30% of production reduction in the petrochemical industry are due to maintenance issues. The research employs various methods such as surveys, field observations, and existing sources, using applied, descriptive, survey, and cross-sectional approaches. For data analysis, it uses techniques like Cochran's formula, content validity ratio, mean variance, alpha coefficients, Likert scale, multi-criteria decision-making methods (hierarchical analysis process, network analysis process,best-worst Method, and arithmetic mean), SWOT analysis, Delphi method, expert opinion, and Pareto analysis. The performance of the maintenance system is validated using indicators from the European quality management model. Key findings include the development of conceptual and functional models, a roadmap for excellence, model evaluation methods, maintenance award levels, key maintenance indicators, and a 10-zero approach based on five primary research questions. Innovations include a ten-star application model, formulas for calculating the equipment sensitivity index, the maintenance resistance index, the use of a balanced scorecard in maintenance, and methods for evaluating and determining maintenance bonus levels. The maintenance resistance index formula is based on five indices: overall equipment effectiveness, overall laborer effectiveness, overall cost efficiency, ratio of endogeneity, extraversion and exogenity, and health, safety, and environment ratio. In essence, this condition-oriented model supports continuous production and is rooted in robust foundations of human resources, equipment, knowledge, and management. While primarily designed for the petrochemical industry, its principles and methodologies are also adaptable to the broader oil and gas sector.
