scholarly journals Improved incentive pricing-based quasi-linear utility function of wireless networks

2021 ◽  
Vol 22 (3) ◽  
pp. 1467
Author(s):  
Fitri Maya Puspita ◽  
Bella Juwita Rezky ◽  
Arden Naser Yustian Simarmata ◽  
Evi Yuliza ◽  
Yusuf Hartono
Keyword(s):  
Utility Function ◽  
Optimal Solution ◽  
Mathematical Programming Problem ◽  
Local Data ◽  
Pricing Scheme ◽  
Linear Utility ◽  
Set Up ◽  
Pricing Schemes ◽  
Linear Utility Function

The model of the incentive pricing scheme-based quasi-linear utility function in wireless network was designed. Previous research seldom focusses on user’s satisfaction while using network. Therefore, the model is then attempted to be set up that is derived from the modification of bundling and models of reverse charging and maintain the quality of service to users by utilizing quasi-linear utility function. The pricing schemes then are applied to local data server traffic. The model used is known as mathematical programming problem that can be solved by LINGO 13.0 program as optimization tool to get the optimal solution. The optimal results show that the improved incentive pricing can achieve better solution compared to original reverse charging where the models will be obtained in flat fee, usage-based, and two-part tariff strategies for homogeneous consumers.

scholarly journals Bit Error Rate (BER) QoS Attribute in Solving Wireless Pricing Scheme on Single Link Multi Service Network

2018 ◽  
Vol 8 (1) ◽  
pp. 236
Author(s):  
Irmeilyana Irmeilyana ◽  
Fitri Maya Puspita ◽  
Indrawati Indrawati ◽  
Rahayu Tamy Agustin
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Wireless Internet ◽  
Service Network ◽  
Pricing Scheme ◽  
Set Up ◽  
Improved Model ◽  
The Cost ◽  
Pricing Schemes

Pricing schemes were set up on multi service network of wireless internet pricing scheme to proposed models applying Bit Error Rate QoS attribute due to requirements for ISP to maximize revenue and provide high quality of service to end users.The model was deigned by improving the original model together with added parameters and variables to the model of multi- service network by setting the base price (α) and premium quality (β) as variables and parameters. LINGO 11.0 were applied to help finding the solution. The results show that the improved models yield maximum revenue for ISP by applying the improved model by setting up a variable α and β as constant as well as by increasing the cost of all the changes in QoS. The QoS attriute BER is proven to achieve the ISP’s goal to maximize the revenue.

scholarly journals Mixed integer nonlinear programming (MINLP)-based bandwidth utility function on internet pricing scheme with monitoring and marginal cost

2019 ◽  
Vol 9 (2) ◽  
pp. 1240
Author(s):  
Robinson Sitepu ◽  
Fitri Maya Puspita ◽  
Elika Kurniadi ◽  
Yunita Yunita ◽  
Shintya Apriliyani
Keyword(s):  
Utility Function ◽  
Marginal Cost ◽  
Optimization Problems ◽  
Linear Optimization ◽  
Optimal Solution ◽  
Mixed Integer ◽  
Monitoring Cost ◽  
Internet Pricing ◽  
Pricing Scheme ◽  
Linear Optimization Problems

<span>The development of the internet in this era of globalization has increased fast. The need for internet becomes unlimited. Utility functions as one of measurements in internet usage, were usually associated with a level of satisfaction of users for the use of information services used. There are three internet pricing schemes used, that are flat fee, usage based and two-part tariff schemes by using one of the utility function which is Bandwidth Diminished with Increasing Bandwidth with monitoring cost and marginal cost. Internet pricing scheme will be solved by LINGO 13.0 in form of non-linear optimization problems to get optimal solution. The optimal solution is obtained using the either usage-based pricing scheme model or two-part tariff pricing scheme model for each services offered, if the comparison is with flat-fee pricing scheme. It is the best way for provider to offer network based on usage based scheme. The results show that by applying two part tariff scheme, the providers can maximize its revenue either for homogeneous or heterogeneous consumers.</span>

Supply Chain Contracting with Linear Utility Function

2017 ◽  
Vol 10 (2) ◽  
pp. 1-20 ◽  
Author(s):  
Ningning Wang ◽  
Jibao Gu ◽  
Qinglong Gou ◽  
Jinfeng Yue
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Utility Function ◽  
Wholesale Price ◽  
Profit Maximization ◽  
Newsvendor Model ◽  
Supply Chain Contracting ◽  
Linear Utility ◽  
Linear Utility Function ◽  
Linear Setting

The supply chain contracting has traditionally been based on the profit maximization assumption. Recent research has shown that some behavior factors may influence the decision making of supply chain members. The authors utilize a linear utility function to depict such behavior factors and incorporate these into the newsvendor model. The linear utility function provides sufficient flexibility to better capture people's various behavior factors. By supposing the agents are concerned with behavior factors, the authors first investigate how the factors affect the supply chain under wholesale price contract, and find that they do not influence coordination condition, but can adjust the distribution of profits. Then they extend their study to other four common contracts with a similar method and systematically demonstrate that the behavior of agents in such a linear setting has no effect on the conditions of coordinating supply chain.

Risk Behavior Under Linear Utility Function

1987 ◽  
Vol 1 (3) ◽  
pp. 49-56
Author(s):  
Young Chin Kim ◽  
Bong Joon Yoon
Keyword(s):  
Utility Function ◽  
Risk Behavior ◽  
Linear Utility ◽  
Linear Utility Function

RISK BEHAVIOR UNDER LINEAR UTILITY FUNCTION

1987 ◽  
Vol 1 (3) ◽  
pp. 49-56
Author(s):  
YOUNG CHIN KIM ◽  
BONG JOON YOON
Keyword(s):  
Utility Function ◽  
Risk Behavior ◽  
Linear Utility ◽  
Linear Utility Function
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