Fuzzy-Based Control System for Solar-Powered Bulk Service Queueing Model with Vacation
This study proposes a Fuzzy-Based Control System (FBCS) for a Bulk Service Queueing Model with Vacation, designed to optimize service performance by dynamically adjusting system parameters. The queueing model is categorized into three service levels: (A) High Bulk Service, where a large number of ar...
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MDPI AG
2025-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/13/7547 |
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| author | Radhakrishnan Keerthika Subramani Palani Niranjan Sorin Vlase |
| author_facet | Radhakrishnan Keerthika Subramani Palani Niranjan Sorin Vlase |
| author_sort | Radhakrishnan Keerthika |
| collection | DOAJ |
| description | This study proposes a Fuzzy-Based Control System (FBCS) for a Bulk Service Queueing Model with Vacation, designed to optimize service performance by dynamically adjusting system parameters. The queueing model is categorized into three service levels: (A) High Bulk Service, where a large number of arrivals are processed simultaneously; (B) Medium Single Service, where individual packets are handled at a moderate rate; and (C) Low Vacation, where the server takes minimal breaks to maintain efficiency. The Mamdani Inference System (MIS) is implemented to regulate key parameters, such as service rate, bulk size, and vacation duration, based on input variables including queue length, arrival rate, and server utilization. The Mamdani-based fuzzy control mechanism utilizes rule-based reasoning to ensure adaptive decision-making, effectively balancing system performance under varying conditions. By integrating bulk service with a controlled vacation policy, the model achieves an optimal trade-off between processing efficiency and resource utilization. This study examines the effects of fuzzy-based control on key performance metrics, including queue stability, waiting time, and system utilization. The results indicate that the proposed approach enhances operational efficiency and service continuity compared to traditional queueing models. |
| format | Article |
| id | doaj-art-b5cebc70373341f4820c1e72b734d5ed |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-b5cebc70373341f4820c1e72b734d5ed2025-08-20T03:50:16ZengMDPI AGApplied Sciences2076-34172025-07-011513754710.3390/app15137547Fuzzy-Based Control System for Solar-Powered Bulk Service Queueing Model with VacationRadhakrishnan Keerthika0Subramani Palani Niranjan1Sorin Vlase2Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Chennai 600062, IndiaDepartment of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Chennai 600062, IndiaDepartment of Mechanical Engineering, Transilvania University of Brasov, 500036 Brasov, RomaniaThis study proposes a Fuzzy-Based Control System (FBCS) for a Bulk Service Queueing Model with Vacation, designed to optimize service performance by dynamically adjusting system parameters. The queueing model is categorized into three service levels: (A) High Bulk Service, where a large number of arrivals are processed simultaneously; (B) Medium Single Service, where individual packets are handled at a moderate rate; and (C) Low Vacation, where the server takes minimal breaks to maintain efficiency. The Mamdani Inference System (MIS) is implemented to regulate key parameters, such as service rate, bulk size, and vacation duration, based on input variables including queue length, arrival rate, and server utilization. The Mamdani-based fuzzy control mechanism utilizes rule-based reasoning to ensure adaptive decision-making, effectively balancing system performance under varying conditions. By integrating bulk service with a controlled vacation policy, the model achieves an optimal trade-off between processing efficiency and resource utilization. This study examines the effects of fuzzy-based control on key performance metrics, including queue stability, waiting time, and system utilization. The results indicate that the proposed approach enhances operational efficiency and service continuity compared to traditional queueing models.https://www.mdpi.com/2076-3417/15/13/7547fuzzy-based control systembulk service queueing modelvacation policyhigh bulk servicemedium single servicelow vacation |
| spellingShingle | Radhakrishnan Keerthika Subramani Palani Niranjan Sorin Vlase Fuzzy-Based Control System for Solar-Powered Bulk Service Queueing Model with Vacation Applied Sciences fuzzy-based control system bulk service queueing model vacation policy high bulk service medium single service low vacation |
| title | Fuzzy-Based Control System for Solar-Powered Bulk Service Queueing Model with Vacation |
| title_full | Fuzzy-Based Control System for Solar-Powered Bulk Service Queueing Model with Vacation |
| title_fullStr | Fuzzy-Based Control System for Solar-Powered Bulk Service Queueing Model with Vacation |
| title_full_unstemmed | Fuzzy-Based Control System for Solar-Powered Bulk Service Queueing Model with Vacation |
| title_short | Fuzzy-Based Control System for Solar-Powered Bulk Service Queueing Model with Vacation |
| title_sort | fuzzy based control system for solar powered bulk service queueing model with vacation |
| topic | fuzzy-based control system bulk service queueing model vacation policy high bulk service medium single service low vacation |
| url | https://www.mdpi.com/2076-3417/15/13/7547 |
| work_keys_str_mv | AT radhakrishnankeerthika fuzzybasedcontrolsystemforsolarpoweredbulkservicequeueingmodelwithvacation AT subramanipalaniniranjan fuzzybasedcontrolsystemforsolarpoweredbulkservicequeueingmodelwithvacation AT sorinvlase fuzzybasedcontrolsystemforsolarpoweredbulkservicequeueingmodelwithvacation |