DocumentCode
1883724
Title
A Model of Price Determining in Intelligent System of Logistics Cloud-Network
Author
Liu Qin ; Hu Juan
Author_Institution
Zhi Xing Coll., Hubei Univ., Wuhan, China
fYear
2013
fDate
16-17 Jan. 2013
Firstpage
37
Lastpage
40
Abstract
Logistics customers and service agents share the service order and resource information in cloud-network system which can cause the collaborative operation, reduce costs and improve efficiency. This paper studies on the price determining model in intelligent system, which is important to the operation maintenance of logistics cloud-network system after the technical achievement. The paper studies on the determine model of undertake price and subcontract price in logistics cloud-network system, compares the profit in two kinds of situations through the establishment profit models of logistics service providers, network platform coordinators and the whole logistics network system, and brings out that effective pricing can promote the realization of Pareto improvement in both profit, which can ensure the coordinate operation of logistics cloud-network system stability. Rubin stein is used to determine the optimal Pareto cooperative pricing strategy. The result of the example verifies the effective of the pricing strategy.
Keywords
Pareto optimisation; cloud computing; logistics data processing; multi-agent systems; pricing; Pareto cooperative pricing strategy; Pareto improvement; cloud network system; collaborative operation; intelligent system; logistics cloud network; logistics customers; logistics network system; logistics service providers; network platform coordinators; price determining model; resource information; service agents; service order; Cloud computing; Collaboration; Economics; Games; Logistics; Optimization; Pricing; intelligent system; logistics cloud-network system; price determining; subcontract price; undertake price;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4673-5652-7
Type
conf
DOI
10.1109/ICMTMA.2013.21
Filename
6493664
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