Queueing System Operating in Random Environment as a Model of a Cell Operation

Kim, Che Soong; Dudin, Alexander; Dudina, Olga; Kim, Jiseung

doi:10.7232/iems.2016.15.2.131

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…Subtract formula (4) to obtain a formula representing the difference between the product cost calculated after merging the activity cost driver k into m and the product cost before the merger [28], that is, the accuracy loss formula after the two activity cost drivers are combined:…”

Section: E Cost Control Methods Of Enterprise Value Chain Under the Background Of Green Economymentioning

confidence: 99%

Competitive Analysis of Operation Mode of Enterprise Value Chain under the Background of Green Economy

Fan

Wang

Dong

2021

Mathematical Problems in Engineering

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In order to improve the competitive advantage of the supply chain, occupy more market shares, and obtain greater benefits, many companies participate in the competition within or between supply chains. This article mainly introduces the game analysis of enterprise value chain operation mode under the background of green economy. This article mainly introduces the competition of business value chain operation mode under the background of green economy and determines its best-selling price and sales volume. This article first outlines the background of the green economy. Secondly, a competition model between multiple retailers is constructed, and the optimal strategy under the two modes of Cournot competition and Stackelberg competition is studied. Finally, the impact of the green economy coefficient on the maximum sales is analyzed. The experimental results of this article show that the average growth rate of total income after the transformation of the business value chain operation mode of the business under the background of the green economy is 9.03%, which also shows that the green economic policy has ultimate significance and is obviously innovative.

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Section: E Cost Control Methods Of Enterprise Value Chain Under the Background Of Green Economymentioning

confidence: 99%

Competitive Analysis of Operation Mode of Enterprise Value Chain under the Background of Green Economy

Fan

Wang

Dong

2021

Mathematical Problems in Engineering

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“…(1) (2) (3) (4) W is the average time a guest is staying in the system (the sum of the waiting time and the service time), L is the average number of guests in the entire system (total waiting or receiving service), Wq is the average time that one customer waits to receive service, Lq is the average number of guests waiting to receive service [7][8].…”

Section: Figure 1 Basic Queuing Modelmentioning

confidence: 99%

Airport Unmanned Counters Simulation Using the LabVIEW

Kim¹,

Jie²,

Choi³

2017

IJCA

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One of the important roles of the airport, the facilities for passenger service improvement, is becoming increasingly advanced. Therefore, the passengers who use the airport are making effort to provide comfortable, pleasant and timely service. As the number of passengers in the airport increases, the complexity and waiting time become longer. For this reason, foreign airports prefer unmanned counters rather than manned counters in order to streamline airport procedures. We have developed a simulator to use these unmanned counters more efficiently.

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“…Whenever the states of a random environment are changed, the parameters of the arrival flow and retrying flow are changed as well. Here, we give some reviews about the random environment (see [9][10][11][12][13][14]). In the 1970s, Neuts introduced the Versatile Markovian Point Process (VMPP) as the Markovian arrival process.…”

Section: Introductionmentioning

confidence: 99%

Analysis of a Stochastic Inventory Model on Random Environment with Two Classes of Suppliers and Impulse Customers

et al. 2022

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This paper explores the random environment with two classes of suppliers and impulse customers. The system’s greatest inventory size is S, and it has an infinitely large orbit. In this case, there are two categories of suppliers: temporary suppliers and regular suppliers. Whenever the inventory approaches r, we place on order Q1 (=S−r) unit items to a temporary supplier. Similarly, when the inventory level drops to s (<Q1<r), we place an order for Q2 (=S−s>s+1) units of items to our regular supplier. Two types of suppliers’ lead times are considered to be exponentially distributed. Here, the customers who arrive from different states of the random environment (RE) are followed by the Markovian arrival process. If there is no inventory in the system when the customer arrives, they are automatically assigned to an orbit. The model was examined in steady state by using the matrix-analytic approach. Finally, the numerical examples for our structural model are discussed.

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Queueing System Operating in Random Environment as a Model of a Cell Operation

Cited by 4 publications

References 15 publications

Competitive Analysis of Operation Mode of Enterprise Value Chain under the Background of Green Economy

Competitive Analysis of Operation Mode of Enterprise Value Chain under the Background of Green Economy

Airport Unmanned Counters Simulation Using the LabVIEW

Analysis of a Stochastic Inventory Model on Random Environment with Two Classes of Suppliers and Impulse Customers

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