This is enlightening resistive production with the case study of oil, gas, refining and petrochemical aiming to representing the required production of base activities of oil. As Supreme Leader of the Revolution and senior officials of country have introduced the resistive economy and have considered main role for oil ministry in this economy, this ministry requires resistive economy to achieve the objectives of the sixth plan and twenty-year document of the country. The considered resistive economy is condition-oriented economy evoking the lean production. Four pillars of the resistive maintenance and production include personnel, equipment, knowledge and management. The resistive production approach is not only future-oriented approach but also it is process-oriented seeking to endogeneity and extraversion and minimizing the foreign dependence.Resistive Production and maintenance help in achieving to strategic objectives.

Optimum maintenance of hundreds of thousands of equipment used by each company is one of the main challenges of maintenance, operation, and procurement managers. Continuous production and competition in the business environment and resource constraints require that the vital equipment of each company must be controlled, monitored, and considered. To do this, identifying critical and essential equipment is necessary. In this paper, a formula was defined by field surveys and preferences of 75 petrochemical industry experts and managers to determine the equipment sensitivity index. Experts' opinions extracted ten compelling features in determining the sensitivity of the equipment, and the weighting coefficient of each one was obtained by using the group decision-making method, Analytical Hierarchy Process. The introduction of the resistive maintenance index formula represents the capability to use strengths and opportunities and sustainability and resistance against weaknesses and threats. The original formula has five sub-indicators consisting of equipment effectiveness, labor effectiveness, cost efficiency, degree of endogeneity, extraversion and exogeneity, and the rate of health, safety, and environmental events. From the perspective of 64 specialists, the group decision-making method and paired comparison matrix were used to determine their weighting coefficient.

The thermo-economic performance of a gas turbine is simulated using a fish bone technique to characterize the major equipment failure causes. Moreover a fault tree analysis and a Pareto technique are implemented to identify the related failure modes, and the percentage and frequency of failures, respectively. A pump 101 and drier 301 belonging to the Tabriz Petrochemical Company are considered for such analysis, which is complemented with a regression method to determine a behavioral model of this equipment over a twenty-year period. Research findings indicate that 81% of major failure factors in production equipment are related to the executive procedures (24%), human error (22%), poor quality of materials and parts (20%), and lack of personnel training (15%).