Ambika, K., Vijayashree, K. V., & Janani, B. (2024). Modelling and analysis of production management system using vacation queueing theoretic approach. Applied Mathematics and Computation, 479, 128856. https://doi:10.1016/j.amc.2024.128856.
Antala, K. S., & Sanga, S. S. (2025). Cost optimization, reliability, and MTTF analysis for failed excavators in hydraulic repair center using queueing theory. Swarm and Evolutionary Computation, 92, 101824. https://doi:10.1016/j.swevo.2024.101824.
Azizi, F. and Salari, N. (2023). A novel condition-based maintenance framework for parallel manufacturing systems based on bivariate birth/birth–death processes. Reliability Engineering & System Safety, 229, 108798. https://doi:10.1016/j.ress.2022.108798.
Bekker, R., Bharti, B., Lan, L. and Mandjes, M. (2024). A queueing-based approach for integrated routing and appointment scheduling. European Journal of Operational Research, 318(2), 534–548. https://doi:10.1016/j.ejor.2024.05.038.
de Castro, H.F. and Cavalca, K.L. (2006). Maintenance resources optimization applied to a manufacturing system. Reliability Engineering & System Safety, 91(4), 413–420. https://doi:10.1016/j.ress.2005.02.004.
Chiacchio, F., Oliveri, L., Khodayee, S.M. and D’Urso, D. (2022). Performance Analysis of a Repairable Production Line Using a Hybrid Dependability Queueing Model Based on Monte Carlo Simulation. Applied Sciences, 13(1), 271. https://doi:10.3390/app13010271.
Cho, D.I. and Parlar, M. (1991). A survey of maintenance models for multi-unit systems. European Journal of Operational Research, 51(1), 1–23. https://doi:10.1016/0377-2217(91)90141-H.
Colledani, M., Tolio, T., Fischer, A., Iung, B., Lanza, G., Schmitt, R. and Váncza, J. (2014). Design and management of manufacturing systems for production quality. CIRP Annals, 63(2), 773–796. https://doi:10.1016/j.cirp.2014.05.002.
Comert, G., Amdeberhan, T., Begashaw, N., Medhin, N.G. and Chowdhury, M. (2024). Simple analytical models for estimating the queue lengths from probe vehicles at traffic signals: A combinatorial approach for nonparametric models. Expert Systems with Applications, 252, 124076. https://doi:10.1016/j.eswa.2024.124076.
Ejaz, I., Alvarado, M., Gautam, N., Gebraeel, N. and Lawley, M. (2019). Condition-Based Maintenance for Queues With Degrading Servers. IEEE Transactions on Automation Science and Engineering, 16(4), 1750–1762. https://doi:10.1109/TASE.2019.2893870.
Fallahnezhad, M.S. and Pourgharibshahi, M. (2017). Determining an Optimal Maintenance Policy for Three State Machine Replacement Problem Using Dynamic Programming. International Journal of Supply and Operations Management Vcvc, 7(2), 180–192. https://doi:10.5267/j.msl.2017.3.001.
Federgruen, A. and So, K.C. (1990). Optimal Maintenance Policies for Single-Server Queueing Systems Subject to Breakdowns. Operations Research, 38(2), 330–343. https://doi:10.1287/opre.38.2.330.
Ghalehkhondabi, I. and Suer, G. (2018). Production line performance analysis within a MTS/MTO manufacturing framework: a queueing theory approach. Production, 28, e20180024. https://doi:10.1590/0103-6513.20180024.
Iyoob, I.M., Cassady, C.R. and Pohl, E.A. (2006). Establishing Maintenance Resource Levels Using Selective Maintenance. The Engineering Economist, 51(2), 99–114. https://doi:10.1080/00137910600695627.
Jackson, C., Pascual, R. and Kristjanpoller, F. (2025). Performance-based contract price negotiation with maintenance policies and limited resource allocation based on queueing and game theory. International Journal of Production Economics, 285, 109596. https://doi:10.1016/j.ijpe.2025.109596.
Jayamani, V.N., Pavai Madheswari, S., Suganthi, P. and Josephine, S.A. (2024). An N - policy M/M/1 queueing model for energy saving mechanism in Networks. Sustainable Computing: Informatics and Systems, 44, 101016. https://doi:10.1016/j.suscom.2024.101016.
Jeganathan, K., Koffer, V.A., Madheswari, S.P. and Venkatesan, T. (2025). An Investigation on Retrial Queueing-Inventory System with Server Maintenance Based on Customer Satisfaction. International Journal of Applied and Computational Mathematics, 11(5), 193. https://doi:10.1007/s40819-025-02023-4.
Koyanagi, J. and Kawai, H. (2003). An optimal age maintenance for an M/G/1 queueing system. Mathematical and Computer Modelling, 38(11–13), 1333–1338. https://doi:10.1016/S0895-7177(03)90135-X.
Lee, J., Ghaffari, M. and Elmeligy, S. (2011). Self-maintenance and engineering immune systems: Towards smarter machines and manufacturing systems. Annual Reviews in Control, 35(1), 111–122. https://doi:10.1016/j.arcontrol.2011.03.007.
Lee, M., Morrison, J.R. and Kalir, A.A. (2021). Practical Queueing Models for Preventive Maintenance Plan Optimization: Multiple Maintenance Types and Numerical Studies. IEEE Transactions on Semiconductor Manufacturing, 34(1), 104–114. https://doi:10.1109/TSM.2020.3041789.
Luo, Z., Lian, Z., Li, J. and Yang, Z. (2025). Maintenance strategies for a queueing system with a standby equipment: An integrated approach using condition-based monitoring. Reliability Engineering & System Safety, 263, 111219. https://doi:10.1016/j.ress.2025.111219.
Salari, N. and Makis, V. (2017). Comparison of two maintenance policies for a multi-unit system considering production and demand rates. International Journal of Production Economics, 193, 381–391. https://doi:10.1016/j.ijpe.2017.08.003.
Salari, N. and Makis, V. (2020). Joint maintenance and just-in-time spare parts provisioning policy for a multi-unit production system. Annals of Operations Research, 287(1), 351–377. https://doi:10.1007/s10479-019-03371-3.
Sarkar, A. and Suresh Kumar, E. (2012). Maintenance Policies of Single and Multi-Unit Systems in the Past and Present. Asian Review of Mechanical Engineering, 1(1), 13–24. https://doi:10.51983/arme-2012.1.1.2510.
Shanthikumar, J.G., Ding, S. and Zhang, M.T. (2007). Queueing Theory for Semiconductor Manufacturing Systems: A Survey and Open Problems. IEEE Transactions on Automation Science and Engineering, 4(4), 513–522. https://doi: 10.1109/TASE.2007.906348.
Taji, J., Farughi, H., & Rasay, H. (2022). Economic-statistical design of fully adaptive multivariate control charts under effects of multiple assignable causes. Computers & Industrial Engineering, 173(108676). https://doi:10.1016/j.cie.2022.108676.
Taji, J., Farughi, H., & Rasay, H. (2023). An integrated Markov chain model for the economic-statistical design of adaptive multivariate control charts and maintenance planning. European Journal of Industrial Engineering, 17(1), 1-28. https://doi:10.1504/EJIE.2023.127739.
Wakiru, J., Pintelon, L., Muchiri, P.N. and Chemweno, P.K. (2021). Integrated remanufacturing, maintenance and spares policies towards life extension of a multi-component system. Reliability Engineering & System Safety, 215, 107872. https://doi: 10.1016/j.ress.2021.107872.