[1] Rastegar, I., Rezaian, J., Mahdavi, I., & Fatahi, P. (2021). “Modeling the planning and scheduling of production and repair maintenance in a combined workshop flow environment”. Modern Researches in Decision Making. 7, 2, 1-27.
[2] SaeediSough, Y., Ahmadi, A., & Ramezani, S. (2014). “Combined optimization of spare parts inventory and maintenance activities”. Supply Chain Management, 49, 36-53.
[3] Niu, G., Yang, B., & Pecht, M. (2010). “Development of an optimized condition-based maintenance system by data fusion and reliability-centered maintenance”. Reliability Engineering and System Safety, 95, 786–796.
[4] Bumblauskas, D., Douglas, G., Igou, A., & Anzengruber, J. (2017). “Smart Maintenance Decision Support Systems (SMDSS) based on corporate big data analytics”. Expert Systems with Applications, 90, 303-317.
[5] Bousdekis, A., Papageorgiou, N., Magoutas, B., & Apostolou, D. (2018). “Enabling condition-based maintenance decisions with proactive eventdriven computing”. Computers in Industry, 100, 173–183.
[6] Bousdekis, A., & Mentzas, G. (2019). “A Proactive Model for Joint Maintenance and Logistics Optimization in the Frame of Industrial Internet of Things”. Springer Proceedings in Business and Economics, 21-45.
[7] Li, Y., Tang, Q., Chang, Q., & Brundage, P. (2017). “An event-based analysis of condition-based maintenance decision-making in multistage production systems”. International Journal of Production Research. DOI: 10.1080/00207543.2017.1292063.
[8] Karabağ, O., Eruguz, A., & Basten, R. (2020). “Integrated optimization of maintenance interventions and spare part selection for a partially observable multi-component system”. Reliability Engineering and System Safety, 200, 106-955.
[9] Zou, G., Banisoleiman, K., Gonzalez, A., & Faber, M. (2019). “Probabilistic investigations into the value of information: A comparison of condition-based and time-based maintenance strategies”. Ocean Engineering, 188, 106-181.
[10] Kim, J., Ahn, Y., & Yeo, H. (2016). “A comparative study of time-based maintenance and condition-based maintenance for optimal choice of maintenance policy”. Structure and Infrastructure Engineering, 1744-8980.
[11] Rabbani, A., Zare, H., & Behnia, f. (2012). “Provide a suitable model for the implementation of maintenance system in factories of continuous production lines with the approach of decision-making models and ideal fuzzy planning”. Journal of Industrial Management Studies, 31, 85-100.
[12] Ravanbakhsh, S. (2017). “Improving the efficiency of strategic equipment by maintenance, failure analysis and simulation methods”. Journal of Maritime Transport Industry, 13-26.
[13] Nosratpanah, S., & Asadi, A. (2017). “Maintenance and repair policies based on the situation”. Andisheh Amad Quarterly, 61, 141-163.
[14] Karimabadi, A., Hajiabadi, M., & Kamyab, E. (2015). “An overview of repairs and breakdowns of transmission and substation equipment”. Journal of New Electrical Research, 2.
[15] Zargar, M. (2018). “Assessment of Barriers to Establishing the Internetof Things in Libraries in Iranbased on a Combined Approach”. Iranian Journal of Information Processing and Technology, 34, 3, 1371-1398.
[16] Yazdani, H., Sohrabi, B., & Jalilian Attar, M. (2020). “Identifying effective qualitative indicators on the evaluation of Internet of Things business models based on big data analysis in the smart city”. Modern Researches in Decision Making, 6, 2, 125-154.
[17] Khan, W., Rehman, M., Zangoti, H., Afzal, M., Armi, N., & Salah, K. (2020). “Industrial internet of things: Recent advances, enabling technologies and open challenges”. Computers and Electrical Engineering, 81, 106-522.
[18] Shojaei, Q. (2010). “Conscious aggregation of information by the potential of dynamic routing in wireless sensor networks”. Master Thesis of Islamic Azad University, Rafsanjan, Iran.
[19] Kumar, A., & Nath, V. (2019). “Study and Design of Smart Embedded System for Smart City Using Internet of Things”. Springer Nature, Singapore Pte.
[20] Haji Shah Karam, M., & Mohammadi, S. (2015). “Proposed architecture based on the Internet of Things and recommending systems for smartening the city of Tehran”. Journal of Information Processing and Management. 1, 275-295.
[21] Faqih, N., Baqerpour, M., & Hasanli, S. (2011). “Maintenance and repair planning”. Samt Publishing, Tehran, Iran.
[22] Azar, A., & Jahanian, S. (2012). “Management science methodology”. University Publishing, 1, Tehran, Iran.
[23] Modarres, M., & Asefvaziri, A. (2008). “Mathematical programming”. Javan Publishing, 6, Tehran, Iran.
[24] Naqib Hashemi, S., & Asghari Tochai, A., Binesh Marvasti, M. (2020). “Intelligent passive decision making for sensors in structural monitoring”. Iranian Journal of Electrical and Computer Engineering, 19, 170-182.
[25] Shekhari Ashkazari, M., & Al-Badawi, A. (2017). “Calculating the lifetime value of customers by considering the dynamics of their behavior using the Markov chain”. Management Research in Iran, 22, 4, 1-22.
[26] Shakerin, R., Toloui Ashlaghi, A., & Radfar, R. (2019).” Analysis of the service process of the life insurance policy issuance system and future provisioning with the approach of discrete event simulation and scenario”. Management Research in Iran, 24, 4, 19-47.
[27] Kabiri, M., & Ramezani, M. (2016). “Practical guide to computer network simulation with OPNET”. Fnnavarie novin Publishing, 1, Babol, Iran.
[28] Farzin, M. (2010). “Simulation using OPNET software”. Sharif Noavaran Publishing, 1, Tehran, Iran.
[29] Chen, M., Miao, Y., & Humar, I. (2018). “OPNET IoT Simulation”. Springer.
[30] Alinaghian, M., Izadbakhsh, H., & ZarinBal, M. (2015). “Introduction to the simulation of discrete-event systems”. Mojak publication, 4, Tehran, Iran.