Detection Model With a Maximum Discounted Effort Reward Search to Maintenance a Best Decision Under the Quality Control Process

This paper aims to get a needed service by making the best decision of choosing one suitable company (queue) from K − independent Markovian queues (companies). The customers arrive at each queue according to a Poisson process. The service time of each customer has an exponential distribution. In a s...

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Bibliographic Details
Main Authors: Abd Allah El-Hadidy, M. (Author), Fakharany, M. (Author)
Format: Article
Language:English
Published: International Academic Press 2022
Subjects:
Online Access:View Fulltext in Publisher
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008 220718s2022 CNT 000 0 und d
020 |a 2311004X (ISSN) 
245 1 0 |a Detection Model With a Maximum Discounted Effort Reward Search to Maintenance a Best Decision Under the Quality Control Process 
260 0 |b International Academic Press  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.19139/soic-2310-5070-1368 
520 3 |a This paper aims to get a needed service by making the best decision of choosing one suitable company (queue) from K − independent Markovian queues (companies). The customers arrive at each queue according to a Poisson process. The service time of each customer has an exponential distribution. In a steady-state, the best decision depends on the minimum cost of detecting the suitable company which provides the best service with high speed (maximum service rate). To minimize the detection cost and maximize the probability of detection, we consider the search effort bounded by a Gaussian distribution as a function with a discounted parameter. The effectiveness of this model appears in a simulation study and the comparison with other models. Copyright © 2022 International Academic Press 
650 0 4 |a Detection model 
650 0 4 |a Optimization 
650 0 4 |a Quality control process 
650 0 4 |a Steady-state probability 
700 1 |a Abd Allah El-Hadidy, M.  |e author 
700 1 |a Fakharany, M.  |e author 
773 |t Statistics, Optimization and Information Computing  |x 2311004X (ISSN)  |g 10 3, 935-948