Open AccessANFIS and Cost Optimization for Markovian Queue with Operational Vacation
Author(s) -
Sonali Thakur,
Anamika Jain,
Madhu Jain
Publication year - 2021
Publication title -
international journal of mathematical, engineering and management sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 10
ISSN - 2455-7749
DOI - 10.33889/ijmems.2021.6.3.053
Subject(s) - sensitivity (control systems) , adaptive neuro fuzzy inference system , queue , inflow , computer science , queueing theory , set (abstract data type) , scope (computer science) , mathematical optimization , outflow , markov process , message queue , fuzzy logic , real time computing , simulation , mathematics , fuzzy control system , artificial intelligence , computer network , engineering , statistics , mechanics , physics , electronic engineering , meteorology , programming language
In this paper, we investigate the M/M/1/N single server finite capacity Markovian queueing model with operational vacation and impatient behavior of the customers. To recover the server broken down during a busy period, M-threshold recovery policy along with set-up is used. Using the inflow and outflow transition rates, the state probabilities equations for different system states are constructed. For computing the stationary queue length, matrix-geometric analytic is performed. The sensitivity analysis is carried for the validation of the system performance measures. To examine the scope of the adaptive neuro-fuzzy inference system (ANFIS), computational results are presented using matric-geometric and ANFIS approaches.