The Experts below are selected from a list of 21519 Experts worldwide ranked by ideXlab platform
Liang Chen - One of the best experts on this subject based on the ideXlab platform.
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Process Modeling of Virtual Enterprises Partner Selection Based on Petri Net
Advanced Materials Research, 2012Co-Authors: Bin Huang, Ning Ning, Liang ChenAbstract:Partner Selection process is a major issue in the formation of a virtual enterprise. This paper analyzes the Partner Selection process of a virtual enterprise and provides its model based on Petri net. The model describes the dynamic behaviors such as concurrent, asynchronism among the factors in Partner Selection process. In addition, paper analyzes the liveness of the process model by means of the reachability tree.
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Partner Selection in a virtual enterprise under uncertain information about candidates
Expert Systems with Applications, 2011Co-Authors: Bin Huang, Chenghui Gao, Liang ChenAbstract:Partner Selection is a major issue in the formation of a virtual enterprise. In practice, in the Partner Selection process, the information about the candidates and their performances are incomplete and uncertain. Vague sets theory is one of the methods used to deal with uncertain information. In this paper, a new method based on vague sets is proposed to deal with the Partner Selection problem in the formation of a virtual enterprise while the factors of satisfaction degree, due date, cost and the precedence of tasks are taken into account. On the basis of the agreement index of satisfaction degree, the formulated Partner Selection problems are interpreted so as to maximize the minimum agreement index. To solve the problem, an improved particle swarm optimization (PSO) algorithm is proposed. Finally, the simulation of a numerical example demonstrates that the method is effective.
Li Zhi-dong - One of the best experts on this subject based on the ideXlab platform.
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Partner Selection of Dynamic Virtual Enterprise Based on Web Service Architecture
Computer Engineering, 2010Co-Authors: Li Zhi-dongAbstract:On the basis of studying the theory of dynamic Virtual Enterprise(VE) based on Web Service architecture,this paper proposes a new model of cooperative Partner Selection for dynamic VE with extension QoS constraint in the large extended,it extends the traditional QoS,monitores and processes the enterprise extension QoS in a real-time sense by using QoS monitoring system,gives Partner Selection process under the model,and some key issues for the implementation of Partner Selection are analyzed.Some evaluations of the model performance is given,experimental result shows the rationality and feasibility of the model.
Bin Huang - One of the best experts on this subject based on the ideXlab platform.
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Process Modeling of Virtual Enterprises Partner Selection Based on Petri Net
Advanced Materials Research, 2012Co-Authors: Bin Huang, Ning Ning, Liang ChenAbstract:Partner Selection process is a major issue in the formation of a virtual enterprise. This paper analyzes the Partner Selection process of a virtual enterprise and provides its model based on Petri net. The model describes the dynamic behaviors such as concurrent, asynchronism among the factors in Partner Selection process. In addition, paper analyzes the liveness of the process model by means of the reachability tree.
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Partner Selection in a virtual enterprise under uncertain information about candidates
Expert Systems with Applications, 2011Co-Authors: Bin Huang, Chenghui Gao, Liang ChenAbstract:Partner Selection is a major issue in the formation of a virtual enterprise. In practice, in the Partner Selection process, the information about the candidates and their performances are incomplete and uncertain. Vague sets theory is one of the methods used to deal with uncertain information. In this paper, a new method based on vague sets is proposed to deal with the Partner Selection problem in the formation of a virtual enterprise while the factors of satisfaction degree, due date, cost and the precedence of tasks are taken into account. On the basis of the agreement index of satisfaction degree, the formulated Partner Selection problems are interpreted so as to maximize the minimum agreement index. To solve the problem, an improved particle swarm optimization (PSO) algorithm is proposed. Finally, the simulation of a numerical example demonstrates that the method is effective.
An Li-ping - One of the best experts on this subject based on the ideXlab platform.
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Optimization Algorithm for Partner Selection in Virtual Enterprise
Computer Engineering, 2007Co-Authors: An Li-pingAbstract:Partner Selection and optimization are critical issues in virtual enterprise formation.According to the relationship among tasks that virtual enterprises face,the problems of Partner Selection for a virtual enterprise are classified into three types: series connection,parallel connection and compound connection.In the light of the problem’s conditions,a multi-objective decision making model is constructed.The optimization process of the model is made up of filtering candidate enterprises and determining optimal plan.Simulation results demonstrate validity of the algorithm.
Leigh Tesfatsion - One of the best experts on this subject based on the ideXlab platform.
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a trade network game with endogenous Partner Selection
Economic Reports, 1997Co-Authors: Leigh TesfatsionAbstract:This paper develops an evolutionary trade network game (TNG) that combines evolutionary game play with endogenous Partner Selection. Successive generations of resource-constrained buyers and sellers choose and refuse trade Partners on the basis of continually updated expected payoffs. Trade Partner Selection takes place in accordance with a modified GaleiaShapley matching mechanism, and trades are implemented using trade strategies evolved via a standardly specified genetic algorithm. The trade Partnerships resulting from the matching mechanism are shown to be core stable and Pareto optimal in each successive trade cycle. Nevertheless, computer experiments suggest that these static optimality properties may be inadequate measures of optimality from an evolutionary perspective.
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a trade network game with endogenous Partner Selection
Research Papers in Economics, 1995Co-Authors: Leigh TesfatsionAbstract:This paper develops a Trade Network Game (TNG) that combines evolutionary game play with endogenous Partner Selection. Resource- constrained buyers and sellers choose and refuse trade Partners on the basis of continually updated expected payoffs. Partner Selection takes place in accordance with a "deferred choice and refusal" mechanism that is shown to have interesting stability, optimality, and uniqueness properties. The iterated prisoner's dilemma strategies used by buyers and sellers to conduct their trades are evolved over time via a genetic algorithm that biases reproduction in favor of strategies that have been successful in past trades. The TNG is shown to encompass a variety of economic applications, such as job search games, labor markets modelled as assignment games, labor markets with endogenously determined workers and employers, and double auction games. To illustrate the way in which preferential Partner Selection interacts with game play in the TNG, resulting in the endogenous formation of trade networks, a 5-trader TNG is analyzed in detail.
