nach oben

Erschienen in:

2013 | OriginalPaper | Buchkapitel

5. A Cooperative Game Model of Dynamic Alliance Under Grid Environment

verfasst von : Xiang-bin Zhang, Min Wu

Erschienen in: The 19th International Conference on Industrial Engineering and Engineering Management

Verlag: Springer Berlin Heidelberg

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

This paper mainly researches on how members of dynamic alliance make a cooperative game under manufacturing grid environment. Determined the contribution level which is made by resources suppliers to demanders by adjusting the proportion of resources provided by suppliers, so that to maximize the total revenue of this alliance. First, this paper establishes a differential dynamic equation for members of this alliance. Then it determines the performance index function of alliance’s total revenue. Finally, by using the pontryagin’s maximum principle to solve this problem, it gets the Nash equilibrium and through an example to verify the feasibility of this method.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel A Study on Hydraulic Autofrettage Gun Tube Dynamic Stress by Finite Element Analysis

Nächstes Kapitel Optimization of Injection Molding Shop Scheduling Based on the Two-Stage Genetic Algorithm

Funds Project: National Nature Science Foundation of China (70792083)

Buyya R, Murshed M (2002) GridSim: a toolkit for the modelling and simulation of distributed resource management and scheduling for grid computing [J]. Concurr Comput Pract Exp 14:1175–1220CrossRef

Buyya R, Abramson D, Giddy J, Stockinger H (2002) Economic models for resource management and scheduling in grid computing [J]. Concurr Comput Pract Exp 14:1507–1542CrossRef

Dean T, David W (1993) Cooperative and competitive networking by entrepreneurs: a critical incident study [J]. J Small Bu Manage 31(1):11–22

He Y, Yu T, Liu L, Sun H (2006) Research on manufacturing resource discovery and scheduling in manufacturing grid. Knowledge enterprise strategies in product design, manufacturing and management [C], 2006, pp 902–907

Ian F, Carl K (2004) The grid: blueprint for a new computing infrastructure [M]. Morgan and Kaufmann, San Francisco

Ian F, Carl K, Steven T (2001) The anatomy of the grid: enabling scalable virtual organizations [J]. Int J High Perform Comput Appl 15(3):200–222CrossRef

Izakian H, Ladani BT, Zamanifar K, Abraham A, Snasel V Ramsar branch, Islamic Azad University, Ramsar (2009) A continuous double auction method for resource allocation in computational grids. Computational intelligence in scheduling, 2009. In: IEEE symposium on [C], Nashville, 2009, pp 29–35

Izakian H, Abraham A, Ladani BT (2010) An auction method for resource allocation in computational grids. Future Generat Comput Syst 26:228–235CrossRef

Jiang PF, Wang Z (2008) Analysis of cooperative games on a three-stage supply chain [J]. J Shandong Univ (Nat Sci) 43(1):103–106

Krus L (2004) A computer based system supporting analysis of cooperative strategies. In: ICAISC international conference on artificial intelligence and soft computing [C], vol 3070, Springer, Berlin/Heidelberg, pp 891–896

Krus L (2009) On a partition function from game motivated by a cost allocation. In: CSM’2009 22nd workshop on methodologies and tools for complex system modeling [C], Springer, Berlin/Heidelberg, 2009, pp 28–30

Krus L, Bronisz P (2000) Cooperative game solution concepts to a cost allocation problem [J]. Eur J Oper Res 122(2):258–271CrossRef

Liu LL, Yu T, Shi ZB, Fang ML (2003) Self-organization manufacturing grid and its task scheduling algorithm [J]. Comput Integr Manuf Syst 9(6):449–455

Liu L-L, Yu T, Cao H-W, Shi Z-B (2004) A TQCS-based scheduling approach for manufacturing grid [J]. J Donghua Univ 21(6):43–48CrossRef

Liu SJ, Wu L, Meng XX (2009) Manufacturing grid [M]. Publishing House of Electronics Industry, Beijing, pp 39–40

Piao J, Zhu YL (2005) Research on manufacturing resources scheduling of virtual enterprise based on manufacturing grid [J]. Appl Res Comput 11(7):1019–1024

Shi ZB, Yu T, Liu LL (2004) Manufacturing grid and its resource configuration algorithm [J]. Comput Eng 30(5):117–119

Zhang PZ, Ye HX, Xue YW, Liu RJ, Hou GS (2009) Non-complete common interest group cooperation & game theory and application [M]. Shanghai Jiao Tong University Press, Beijing, pp22–28

Zhou YL, Chen YW (2007) Research of allocation and management of manufacturing grid resource based on beneficial drive [J]. Mod Manuf Eng 1(11):20–23

Titel: A Cooperative Game Model of Dynamic Alliance Under Grid Environment
verfasst von: Xiang-bin Zhang
Min Wu
Verlag: Springer Berlin Heidelberg
Buch: The 19th International Conference on Industrial Engineering and Engineering Management
Print ISBN: 978-3-642-37269-8

Electronic ISBN: 978-3-642-37270-4

Copyright-Jahr: 2013
DOI: https://doi.org/10.1007/978-3-642-37270-4_5