Applying Empirical Bayesian Estimation in the Optimal Decision of Server-Dependent Queue Under the (M,Q) Policy
碩士 === 國立屏東科技大學 === 工業管理系 === 91 === The queueing system that the number of servers is changed depends on the length of queue. It is different from the traditional one because the number of servers is decided by the number of customers in the waiting line . In order to make the service and arrival r...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2003
|
Online Access: | http://ndltd.ncl.edu.tw/handle/50332661300513335725 |
id |
ndltd-TW-091NPUST041014 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-091NPUST0410142016-12-22T04:12:24Z http://ndltd.ncl.edu.tw/handle/50332661300513335725 Applying Empirical Bayesian Estimation in the Optimal Decision of Server-Dependent Queue Under the (M,Q) Policy 應用經驗貝氏估計法於(M,Q)Policy等候系統最適決策之研究 Shih-Ting Yang 楊士霆 碩士 國立屏東科技大學 工業管理系 91 The queueing system that the number of servers is changed depends on the length of queue. It is different from the traditional one because the number of servers is decided by the number of customers in the waiting line . In order to make the service and arrival rates close to reality, this study estimates the traffic intensity (i.e. the parameter of queueing system, ρ) by the Empirical Bayesian estimation method. In addition, we consider those parameters of cost in the research. Base on them, we can find the optimal solution M and Q (i.e. M , Q Policy)to maximize the total expected profit. According to it, we can make the decision when to turn on and turn off the second server. After deriving the model, the numerical analysis was performed and six conclusions are drawn for future studies and applications. Yun-Cheng Huang Pei-Chun Lin 黃允成 林珮珺 2003 學位論文 ; thesis 70 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立屏東科技大學 === 工業管理系 === 91 === The queueing system that the number of servers is changed depends on the length of queue. It is different from the traditional one because the number of servers is decided by the number of customers in the waiting line . In order to make the service and arrival rates close to reality, this study estimates the traffic intensity (i.e. the parameter of queueing system, ρ) by the Empirical Bayesian estimation method. In addition, we consider those parameters of cost in the research. Base on them, we can find the optimal solution M and Q (i.e. M , Q Policy)to maximize the total expected profit. According to it, we can make the decision when to turn on and turn off the second server. After deriving the model, the numerical analysis was performed and six conclusions are drawn for future studies and applications.
|
author2 |
Yun-Cheng Huang |
author_facet |
Yun-Cheng Huang Shih-Ting Yang 楊士霆 |
author |
Shih-Ting Yang 楊士霆 |
spellingShingle |
Shih-Ting Yang 楊士霆 Applying Empirical Bayesian Estimation in the Optimal Decision of Server-Dependent Queue Under the (M,Q) Policy |
author_sort |
Shih-Ting Yang |
title |
Applying Empirical Bayesian Estimation in the Optimal Decision of Server-Dependent Queue Under the (M,Q) Policy |
title_short |
Applying Empirical Bayesian Estimation in the Optimal Decision of Server-Dependent Queue Under the (M,Q) Policy |
title_full |
Applying Empirical Bayesian Estimation in the Optimal Decision of Server-Dependent Queue Under the (M,Q) Policy |
title_fullStr |
Applying Empirical Bayesian Estimation in the Optimal Decision of Server-Dependent Queue Under the (M,Q) Policy |
title_full_unstemmed |
Applying Empirical Bayesian Estimation in the Optimal Decision of Server-Dependent Queue Under the (M,Q) Policy |
title_sort |
applying empirical bayesian estimation in the optimal decision of server-dependent queue under the (m,q) policy |
publishDate |
2003 |
url |
http://ndltd.ncl.edu.tw/handle/50332661300513335725 |
work_keys_str_mv |
AT shihtingyang applyingempiricalbayesianestimationintheoptimaldecisionofserverdependentqueueunderthemqpolicy AT yángshìtíng applyingempiricalbayesianestimationintheoptimaldecisionofserverdependentqueueunderthemqpolicy AT shihtingyang yīngyòngjīngyànbèishìgūjìfǎyúmqpolicyděnghòuxìtǒngzuìshìjuécèzhīyánjiū AT yángshìtíng yīngyòngjīngyànbèishìgūjìfǎyúmqpolicyděnghòuxìtǒngzuìshìjuécèzhīyánjiū |
_version_ |
1718402894357594112 |