Suppler selection is a multi-objective problem which includes cost,service level and *** of these objectives may *** order to select the best suppliers, it is necessary to make a trade off among those objectives. Exis...
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Suppler selection is a multi-objective problem which includes cost,service level and *** of these objectives may *** order to select the best suppliers, it is necessary to make a trade off among those objectives. Existing researches on supplier selection are either restricted on deterministic environment or only address stochastic de- *** paper presents a fuzzy multi-objective program- ming method to select suppliers,in which the customer de- mands and costs are assumed to be fuzzy numbers in an un- certain *** format the model to optimize the ex- pected values of uncertain objection functions under chance- constrained.A genetic algorithm based on fuzzy simulation is developed to solve the proposed fuzzy multi-objective model. Moreover,a numerical example is presented to reveal the ef- fectiveness of the model and algorithm.
Congestion as one particularly severe form of in- efficiency,has been payed more and more attention recent *** of the models on congestion assume that all in- puts and outputs are exactly known,but in many cases they ...
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Congestion as one particularly severe form of in- efficiency,has been payed more and more attention recent *** of the models on congestion assume that all in- puts and outputs are exactly known,but in many cases they cannot be precisely *** paper attempts to extend the fundamental DEA model to a fuzzy framework,thus pro- ducing some fuzzy DEA models to treat congestion based on credibility *** order to solve the fuzzy models,the fuzzy simulations and genetic algorithm are integrated to pro- duce a hybrid intelligent *** examples which illustrate possible uses of these approaches are also supplied.
＜正＞The time-cost trade-off problem is a particular project scheduling problem which studies how to modify project activities so as to complete a project in time with a minimal additional *** this paper,a new fuzzy ...
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＜正＞The time-cost trade-off problem is a particular project scheduling problem which studies how to modify project activities so as to complete a project in time with a minimal additional *** this paper,a new fuzzy time-cost trade-off model is proposed,in which the credibility theory is applied to describe the uncertainty of activity durations.A searching method as a hybrid intelligent algorithm integrating genetic algorithm and fuzzy simulation is adopted to search the optimal schedule under some decision-making *** purpose of the paper is to reveal how to obtain the optimal balance of the completion time and the total cost under some management requirements.
Managing core knowledge can present considerable challenges for long-term sustainable competitive *** crux among knowledge management is how to effectively select core knowledge from various knowledge-based assets whi...
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Managing core knowledge can present considerable challenges for long-term sustainable competitive *** crux among knowledge management is how to effectively select core knowledge from various knowledge-based assets while maintaining tight control over intellectual *** to linguistic or uncertain concepts frequently represented in decision data,evaluations of real situations should be assumed to be fuzzy *** paper proposes an approach to core knowledge selection with fuzzy *** the conceptual framework developed by Lin and Liu (2007),we focus on criteria evaluation and comprehensive procedure that have been previously associated with group decision *** explore the choice-function which is an aggregating consistency of decision group and provide a fuzzy programming model of seeking core *** constraints are also considered in the *** measure is applied to solve the proposed model so that it can embody well the group preference *** of an example further show that the approach which fits into the general framework can successfully identify core knowledge worthy of attention.
This paper is to study the significance of the cooperation between the markdown policy and the aggregate planning so as to simulate the cooperation between retailers and manufacturers.A fuzzy nonlinear programming mod...
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This paper is to study the significance of the cooperation between the markdown policy and the aggregate planning so as to simulate the cooperation between retailers and manufacturers.A fuzzy nonlinear programming model,named Aggregate Production Planning-Markdown Pricing Model (APPMP),is established by integrating the markdown model into Aggregate Production Planning *** to the uncertainty of business information and environment,some cost elements are considered to be fuzzy number so that the objective function is fuzzy in *** fuzzy programming model is transformed into a crisp parametric model to be *** parametric APP-MP is able to help the retailer and the manufacturer flexibly make the pricing decisions,including the magnitude and time of markdown,and production decisions based on different satisfaction levels so that greater profits could be *** example solution shows that the cooperation definitely increases the profits.
This paper reviews the fuzzy portfo- lio selection based on credibility *** rea- son for choosing credibility measure is ***- eral mathematical definitions of risk of an investment in the portfolio are *** credibility...
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This paper reviews the fuzzy portfo- lio selection based on credibility *** rea- son for choosing credibility measure is ***- eral mathematical definitions of risk of an investment in the portfolio are *** credibility- based portfolio selection models are presented,includ- ing mean-risk model,mean-variance model,mean- semivariance model,credibility maximization model, a-return maximization model,entropy optimization model and game models.A hybrid intelligent al- gorithm for solving the optimization models is doc- *** addition,as extensions of credibilistic portfolio selection approaches,the paper also gives a brief review of some hybrid portfolio selection models.
This paper presents a combined fuzzy analytic hierarchy process (AHP) and fuzzy goal programming (GP) approach to determine the preferred compromise solution for six-sigma project selection problem with multiple objec...
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This paper presents a combined fuzzy analytic hierarchy process (AHP) and fuzzy goal programming (GP) approach to determine the preferred compromise solution for six-sigma project selection problem with multiple objectives, in which the parameters are fuzzy in nature. The effective six-sigma project selection problem has been formulated as a fuzzy GP problem that includes six primary goals: maximize financial benefits, maximize process capability, maximize customer satisfaction, minimize cost, minimize project completion time and minimize risk. fuzzy AHP is men used to specify judgments about the relative importance of each goal in terms of its contribution to the achievement of the overall goal. An illustration with a data set from a realistic situation is included to demonstrate the effectiveness of the proposed model.
As organizations become more dependent on suppliers, the selection of the suppliers plays more and more im- portant role in the decision system of the ***- ditional methods in this field always assume that the demand ...
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As organizations become more dependent on suppliers, the selection of the suppliers plays more and more im- portant role in the decision system of the ***- ditional methods in this field always assume that the demand of the manufacture is exactly known,which is a difficult thing in real *** paper attends to con- sider the supplier selection in fuzzy environment,in the case of multiple sources,multiple criteria and capacity *** will give some mathematical models to illustrate the problem under fuzzy demand,which takes into account the total costs including purchasing cost, holding cost and ordering *** to the the complex- ity of these models,the hybrid algorithms integrated by fuzzy simulations and genetic algorithm are proposed. Finally,some numerical examples are provided to show the models and the algorithms.
The fuzzy two-stage programming problem with discrete fuzzy vector is hard to *** this paper, in order to solve this class of model, we design a algorithm by which we solve its deterministic equivalent programming to ...
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The fuzzy two-stage programming problem with discrete fuzzy vector is hard to *** this paper, in order to solve this class of model, we design a algorithm by which we solve its deterministic equivalent programming to obtain optimal ***, two numerical examples are provided for showing the effectiveness of this algorithm.
In order to model capacitated location-allocation problem with fuzzy demands, three types of fuzzy programming models - fuzzy expected cost minimization model, fuzzy alpha-cost minimization model, and credibility maxi...
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In order to model capacitated location-allocation problem with fuzzy demands, three types of fuzzy programming models - fuzzy expected cost minimization model, fuzzy alpha-cost minimization model, and credibility maximization model - are proposed according to different decision criteria. For solving these models, some hybrid intelligent algorithms are also designed. Finally, several numerical experiments are presented to illustrate the efficiency of the proposed algorithms. (c) 2007 Elsevier Ltd. All rights reserved.
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