IoT Driven Queueing System: Analyzing Customer Behavior for Optimal Service Management
DOI:
https://doi.org/10.13052/jgeu0975-1416.1324Keywords:
Queueing systems, IOT, customer behaviourAbstract
The integration of Internet of Things (IoT) technology in queueing systems has transformed customer service management by enabling real-time data collection, analysis, and decision-making. IoT-driven solutions facilitate efficient queue management, reduce wait times, and enhance customer satisfaction through predictive analytics and automated service adjustments. This paper synthesizes existing research on IoT-based queueing systems, focusing on customer behavior analysis and service management strategies. By leveraging IoT data analytics, businesses can implement optimal service management strategies such as service time optimization, intelligent staff allocation, and dynamic queue adjustments. Additionally, IoT-based queueing models help businesses predict congestion and improve service efficiency. This study also explores the role of artificial intelligence (AI) and machine learning (ML) in enhancing IoT-enabled queueing systems. Key challenges, including security, privacy concerns, and system scalability, are identified as critical areas for future research. The paper provides a comprehensive overview of advancements in IoT-driven queueing systems and their impact on customer behavior and service management, offering insights for researchers and industry practitioners.
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A. N. Sada, O. M. Olanrewaju, and Y. Surajo, “A Priority-Based Self-Adaptive Random Early Detection Algorithm in IoT Gateways,” J. Basics Appl. Sci. Res., vol. 2, no. 1, pp. 18–27, 2024, doi: 10.33003/jobasr.
K. Manjunath and K. Suresh, “Adaptive Task Scheduling Procedure By Using Improvised Q-Learning Technique in Internet of Things,” in 2022 International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS), IEEE, pp. 1–6, Jun. 2022. doi: 10.1109/IC3SIS54991.2022.9885624.
S. Varshney, A. Kumar, and C. Shekhar, “Parametric nonlinear programming for fuzzified queuing systems with catastrophe,” Int. J. Process Manag. Benchmarking, vol. 10, no. 1, p. 69, 2020, doi: 10.1504/ijpmb.2020.10025877.
A. Agatić, E. Tijan, S. Aksentijević, and A. Pucihar, “Internet of Behavior – The Transformation of Customer Relationship Management in Logistics,” in 2023 46th MIPRO ICT and Electronics Convention (MIPRO), IEEE, pp. 1411–1415, May 2023.
R. Klimek, “Sensor-enabled context-aware and pro-active queue management systems in intelligent environments,” Sensors (Switzerland), vol. 20, no. 20, pp. 1–29, 2020, doi: 10.3390/s20205837.
A. Economou, “The Impact of Information Structure on Strategic Behavior in Queueing Systems,” Queueing Theory 2 Adv. Trends, pp. 137–169, 2021, doi: 10.1002/9781119755234.ch4.
M. T. Moghaddam, H. Muccini, J. Dugdale, and M. B. Kjagaard, “Designing Internet of Behaviors Systems,” Proc. – IEEE 19th Int. Conf. Softw. Archit. ICSA 2022, pp. 124–134, 2022, doi: 10.1109/ICSA53651.2022.00020.
T. S. Chain, H. L. Lee, K. C. So, and C. S. Tang, “The Value of Information Sharing in a Two-Level Supply Chain,” Management Science, vol. 46, no. 5, pp. 626–643, 1995.
C. Shekhar, S. Varshney, and A. Kumar, “Matrix-geometric solution of multi-server queueing systems with Bernoulli scheduled modified vacation and retention of reneged customers: A meta-heuristic approach,” Quality Technology & Quantitative Management, vol. 18, no. 1, pp. 39–66, 2021, doi: 10.1080/16843703.2020.1755088.
C. Shekhar, N. Kumar, A. Gupta, A. Kumar, and S. Varshney, “Warm-spare provisioning computing network with switching failure, common cause failure, vacation interruption, and synchronized reneging,” Reliability Engineering & System Safety, vol. 199, 2020, doi: 10.1016/j.ress.2020.106910.
A. A. Bouchentouf, L. Medjahri, M. Boualem, and A. Kumar, “Mathematical analysis of a Markovian multi-server feedback queue with a variant of multiple vacations, balking and reneging,” Discrete and Continuous Models and Applied Computational Science, vol. 30, no. 1, pp. 21–38, 2022, doi: 10.22363/2658-4670-2022-30-1-21-38.
A. Kumar, S., and C. Shekhar, “Cost Analysis of a Finite Capacity Queue with Server Failures, Balking, and Threshold-Driven Recovery Policy,” International Journal of Mathematical, Engineering and Management Sciences, vol. 9, no. 5, pp. 1198–1209, 2024, doi: 10.33889/ijmems.2024.9.5.063.
A. Kumar, S. Kaswan, M. Devanda, and C. Shekhar, “Transient Analysis of Queueing-Based Congestion with Differentiated Vacations and Customer’s Impatience Attributes,” Arabian Journal for Science and Engineering, vol. 48, no. 11, pp. 15655–15665, Nov. 2023, doi: 10.1007/s13369-023-08020-3.
A. Kumar, M. Boualem, A. A. Bouchentouf, and Savita, “Optimal Analysis of Machine Interference Problem with Standby, Random Switching Failure, Vacation Interruption and Synchronized Reneging,” in Applications of Advanced Optimization Techniques in Industrial Engineering, 2022. doi: 10.1201/9781003089636-10.
M. J. Bitner, S. W. Brown, and M. L. Meuter, “Technology infusion in service encounters,” Journal of the Academy of marketing Science, vol. 28, no. 1, pp. 138–149, 2000, doi: 10.1177/0092070300281013.
M. M. Nazrul Islam and M. Sultana, “Impact of Queue on Customers: An Analysis of the Retail Shops in Bangladesh,” International Conference on Business Management, vol. 2, no. 3, pp. 11–20, 2012.
Y. Lu, A. Musalem, M. Olivares, and A. Schilkrut, “Measuring the effect of queues on customer purchases,” Management Science, vol. 59, no. 8, pp. 1743–1763, 2013, doi: 10.1287/mnsc.1120.1686.
S. K. Roy, V. Shekhar, A. Quazi, and M. Quaddus, “Consumer engagement behaviors: do service convenience and organizational characteristics matter?,” Journal of Service Theory and Practice, vol. 30, no. 2, pp. 195–232, 2020, doi: 10.1108/JSTP-03-2018-0049.
A Abror, D Patrisia, Y Engriani, S Evanita, Y Yasri, and S Dastgir, “Service quality, religiosity, customer satisfaction, customer engagement and Islamic bank’s customer loyalty,”Journal of Islamic Marketing, pp. 1691–1705, 2020.
N. Ifeoma and E. Chigozie, “Waiting Line Management and Customers’ Satisfaction of Quick Service Restaurants In,” vol. 27, pp. 119–142, 2024.
C. Shekhar, S. Varshney, and A. Kumar, “Standbys provisioning in machine repair problem with unreliable service and vacation interruption,” in The Handbook of Reliability, Maintenance, and System Safety through Mathematical Modeling, Elsevier, pp. 101–133, 2021. doi: 10.1016/B978-0-12-819582-6.00006-X.
C. M. Voorhees et al., “Service encounters, experiences and the customer journey: Defining the field and a call to expand our lens,” Journal of Business Research, vol. 79, pp. 269–280, 2017, doi: 10.1016/j.jbusres.2017.04.014.
C. Shekhar, A. Kumar, S. Varshney, and S. Ibrahim Ammar, “M/G/1 fault-tolerant machining system with imperfection,” Journal of Industrial and Management Optimization, vol. 17, no. 1, pp. 1–28, 2021, doi: 10.3934/jimo.2019096.
K. Nam, J. Baker, N. Ahmad, and J. Goo, “Determinants of writing positive and negative electronic word-of-mouth: Empirical evidence for two types of expectation confirmation,” Decision Support Systems, vol. 129, p. 113168, Feb. 2020, doi: 10.1016/j.dss.2019.113168.
A. Kumar, A. Kumar, and C. Shekhar, “Transformation-Based Stationary Analysis of Single Server Feedback Fluid Queue: An Enhanced Approach,” in 2023 3rd International Conference on Advancement in Electronics & Communication Engineering (AECE), IEEE, Nov. 2023, pp. 580–583. doi: 10.1109/AECE59614.2023.10428397.
A. H. Abdou, H. S. Shehata, H. M. E. Mahmoud, A. I. Albakhit, and M. Y. Almakhayitah, “The Effect of Environmentally Sustainable Practices on Customer Citizenship Behavior in Eco-Friendly Hotels: Does the Green Perceived Value Matter?,” Sustainability, vol. 14, no. 12, 2022, doi: 10.3390/su14127167.
L. T. Tuan (Tuan Luu), “Activating tourists’ citizenship behavior for the environment: the roles of CSR and frontline employees’ citizenship behavior for the environment,” Journal of Sustainable Tourism, vol. 26, no. 7, pp. 1178–1203, Jul. 2018, doi: 10.1080/09669582.2017.1330337.
J. van Doorn et al., “Customer engagement behavior: Theoretical foundations and research directions,” Journal of service research, vol. 13, no. 3, pp. 253–266, 2010, doi: 10.1177/1094670510375599.
L. C. Harris and M. M. H. Goode, “The four levels of loyalty and the pivotal role of trust: A study of online service dynamics,” Journal of retailing, vol. 80, no. 2, pp. 139–158, 2004, doi: 10.1016/j.jretai.2004.04.002.
C. Shekhar, S. Varshney, and A. Kumar, “Optimal and Sensitivity Analysis of Vacation Queueing System with F-Policy and Vacation Interruption,” Arabian Journal for Science and Engineering, vol. 45, no. 8, pp. 7091–7107, Aug. 2020, doi: 10.1007/s13369-020-04690-5.
X. Xu and Y. Li, “The antecedents of customer satisfaction and dissatisfaction toward various types of hotels: A text mining approach,” International journal of hospitality management, vol. 55, pp. 57–69, May 2016, doi: 10.1016/j.ijhm.2016.03.003.
C. Shekhar, A. Kumar, and S. Varshney, “Modified Bessel series solution of the single server queueing model with feedback,” International Journal of Computing Science and Mathematics, vol. 10, no. 3, pp. 313–326, 2019, doi: 10.1504/ijcsm.2019.10022402.
C. Shekhar, A. Gupta, N. Kumar, A. Kumar, and S. Varshney, “Transient solution of multiple vacation queue with discouragement and feedback,” Scientia Iranica, vol. 29, no. 5 E, pp. 2567–2577, 2022, doi: 10.24200/sci.2020.52933.2955.
C. Shekhar, A. Kumar, and S. Varshney, “Load sharing redundant repairable systems with switching and reboot delay,” Reliability Engineering & System Safety, vol. 193, p. 106656, Jan. 2020, doi: 10.1016/j.ress.2019.106656.
C. Shekhar, A. A. Raina, A. Kumar, and J. Iqbal, “A survey on queues in machining system: Progress from 2010 to 2017,” Yugoslav Journal of Operations Research, vol. 27, no. 4, pp. 391–413, 2017, doi: 10.2298/YJOR161117006R.
A. Yakubu and U. Najim, “An Application of Queuing Theory to ATM Service Optimization: A Case Study,” Mathematical Theory and Modeling, vol. 4, no. 6, pp. 11–24, 2014.
M. Sani Burodo, S. Suleiman, and Y. Shaba, “Queuing Theory and ATM Service Optimization: Empirical Evidence from First Bank Plc, Kaura Namoda Branch, Zamfara State,” American Journal of Operations Management and Information Systems, vol. 4, no. 3, p. 80, 2019, doi: 10.11648/j.ajomis.20190403.12.
C. Shekhar, S. Varshney, and A. Kumar, “Optimal control of a service system with emergency vacation using bat algorithm,” Journal of computational and applied mathematics, vol. 364, p. 112332, Jan. 2020, doi: 10.1016/j.cam.2019.06.048.
C. Shekhar, A. Kumar, S. Varshney, and S. I. Ammar, “Fault-tolerant redundant repairable system with different failures and delays,” Engineering Computations, vol. 37, no. 3, pp. 1043–1071, Nov. 2019, doi: 10.1108/EC-01-2019-0003.
A. R. Andersen, B. F. Nielsen, L. B. Reinhardt, and T. R. Stidsen, “Staff optimization for time-dependent acute patient flow,” European Journal of Operational Research, vol. 272, no. 1, pp. 94–105, 2019, doi: 10.1016/j.ejor.2018.06.015.
K. Ghanes et al., “Simulation-based optimization of staffing levels in an emergency department,” Simulation, vol. 91, no. 10, pp. 942–953, 2015, doi: 10.1177/0037549715606808.
C. W. Chan, M. Huang, and V. Sarhangian, “Dynamic Server Assignment in Multiclass Queues with Shifts, with Applications to Nurse Staffing in Emergency Departments,” Operations Research, vol. 69, no. 6, pp. 1936–1959, 2021, doi: 10.1287/opre.2020.2050.
A. U. K. Wagoum, A. Tordeux, and W. Liao, “Understanding human queuing behaviour at exits?: an empirical study,” Royal Society open science,” 2017.
M. Johnstone and D. Creighton, “A Dynamic Architecture for Increased Passenger Queue Model Fidelity,” In Proceedings of the 2009 Winter Simulation Conference (WSC), pp. 3129–3139, 2009.
A. Einstein, “Study on Behavioral Patterns in Queuing?: Agent Based Modeling and Experimental Approach,” Doctoral thesis, University of Lugano, 2011.
Z. Liu, C. Long, X. Lu, Z. Hu, J. Zhang, and Y. Wang, “Which Channel to Ask My Question?: Personalized Customer Service Request Stream Routing Using Deep Reinforcement Learning,” IEEE Access, vol. 7, pp. 107744–107756, 2019, doi: 10.1109/ACCESS.2019.2932047.
B. Chang, B. Kizilkaya, L. Li, G. Zhao, Z. Chen, and M. A. Imran, “Effective Age of Information in Real-Time Wireless Feedback Control Systems,” Science China Information Sciences, vol. 64, pp. 1–14, 2021.
K. Kang, J. Oh, and S. H. Son, “Chronos?: Feedback Control of a Real Database System Performance,” In 28th IEEE International real-time systems symposium (RTSS 2007), IEEE, pp. 267–276, 2007.
A. Kumar, Savita, and C. Shekhar, “Optimizing Resource Allocation in M/M/1/N Queues with Feedback, Discouraged Arrivals, and Reneging for Enhanced Service Delivery,” Journal of Reliability and Statistical Studies, vol. 17, no. 1, pp. 1–16, 2024.
A. Kumar, “Single server multiple vacation queue with discouragement solve by confluent hypergeometric function,” Journal of Ambient Intelligence and Humanized Computing, vol. 14, no. 5, pp. 6411–6422, 2020.
A. Kumar, Savita, and C. Shekhar, “Optimizing Resource Allocation in M/M/1/N Queues with Feedback, Discouraged Arrivals, and Reneging for Enhanced Service Delivery,” Journal of Reliability and Statistical Studies, vol. 17, no. 1, pp. 1–16, 2024, doi: 10.13052/jrss0974-8024.1711.
P. W. Ma’arif, M. R., Priyanto, A., Setiawan, C. B., and Cahyo, “The Design of Cost Efficient Health Monitoring System based on Internet of Things and Big Data,” In 2018 International Conference on Information and Communication Technology Convergence (ICTC), pp. 12–17, 2018.
Kumar, A. Parametric optimization of repairable systems in IoT: addressing detection delays, imperfect coverage, and fuzzy parameters. Life Cycle Reliability and Safety Engineering, 1–12, 2025.
Kumar, A., and Shekhar, C. Bayesian Modeling of Repairable Systems With Imperfect Coverage and Delayed Detection Dynamics. Quality and Reliability Engineering International. 2025.
Kumar, A., Prikshit, P., and Gonder, S. S. C. Queueing System Optimization and Computational Analysis: A Comprehensive Investigation into Research Evaluation. In 2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE) (pp. 391–396). IEEE.
Kumar, A., and Singh, S. Optimizing Service Performance in Single Working Vacation: Queueing Theory Perspective. In 2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE) (pp. 386–390). IEEE, 2024.
Preeti, S. Sharma and V. Garg, “Exploring Research Evaluation in Social Science: A Statistical Approach,” 2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE), GHAZIABAD, India, 2024, pp. 76–80, doi: 10.1109/AECE62803.2024.10911492.
Preeti, N. Sharma and V. Garg, “Forecasting the Future: Exploring Advanced Trends in Digital Education,” 2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE), Ghaziabad, India, 2024, pp. 81–86, doi: 10.1109/AECE62803.2024.10911732.
Preeti, V. Garg and V. Garg, “Quantifying Influence: Insights into Data Science Applications in Comparative Politics,” 2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE), Ghaziabad, India, 2024, pp. 92–97, doi: 10.1109/AECE62803.2024.10911544.
Preeti, A. K. Jha and V. Garg, “Trends and Patterns in the Application of Fuzzy Theory within Political Science,” 2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE), Ghaziabad, India, 2024, pp. 123–127, doi: 10.1109/AECE62803.2024.10911754.
Preeti, Dixit and V. Garg, “Analyzing the Development of Data Envelopment Analysis Research,” 2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE), Ghaziabad, India, 2024, pp. 330–334, doi: 10.1109/AECE62803.2024.10911300.
Shivani, S., Ram, M., Goyal, N., and Kumar, A. Analysis of series–parallel system’s sensitivity in context of components failures. RAIRO-Operations Research, 57(4), 2131–2149, 2023.
Goyal, N., and Ram, M. Exploiting performance analysis of redundant system (KM+ 1S)-Incorporating fault coverage and reboot delay. RAIRO-Operations Research, 56(3), 1187–1202, 2022.
