سید حبیب الله رحمتی

Maintenance is a significant cost factor in supply chains and production systems. Intelligent maintenance systems are gaining global interest with the rise of IT-based technologies. This study focuses on a new reliability-centered maintenance (RCM) method, where an intelligent system decides on repair or replacement based on system reliability in the practical flexible job shop scheduling problem (FJSP). The research introduces a balance by integrating industrial units' green production and energy consumption with traditional objectives like production costs and system reliability in a multi-objective framework. Another key aspect is the consideration of less developed regions as a social factor in the energy calculation model, resembling the Ministry of Energy's computational models. The reliability model is tailored for a complex system with multiple machines having time-dependent lifespans and repair probabilities, where operation times, maintenance times, and post-repair reliability levels are all stochastic. Metaheuristic algorithms combined with simulation-based optimization are used to solve the model. Statistical and non-statistical methods are used to depict the performance of the algorithms. The study shows that these algorithms effectively solve complex multi-objective stochastic problems and can be considered as a decision support system (DSS) for software developers working on real-world applications.

Today, the issue of locating industrial complexes at the national and regional level in the macroeconomic structure is important in terms of its benefits and strategic issues. Because it leads to optimization of time, cost and prevention of waste of human, financial and environmental resources, economic development and welfare.Therefore, the purpose of this research is provide a scientific and practical approach to locating a technology service center in the Qazvin province. The research method is descriptive-analytic. The statistical population of the study consisted of experts and experienced experts with a sample size of 20 people. The tool was a questionnaire. Data analysis was carried out using the vikor and TOPSIS technique. In this research, five industrial sites including Abik, Khoramdasht, Heydarieh, Arasandeh and Lia have been investigated for determining the suitable industrial site for the establishment of a technology business service center. These centers are selected under the supervision of Qazvin industrial Estate which are project sponsors. The results indicate that the industrial place of Lia is considered in accordance to the qualitative, quantitative and service factors, selected from the selected areas for the operation and construction of the service center. In order to work and technology have been introduced