Pricing computer services: queueing effects
Communications of the ACM
Multiple objective programming problems with possibilistic coefficients
Fuzzy Sets and Systems
Vertex method for computing functions of fuzzy variables
Fuzzy Sets and Systems
Linear programming with fuzzy objectives
Fuzzy Sets and Systems
On using &agr;-cuts to evaluate fuzzy equations
Fuzzy Sets and Systems
User delay costs and internal pricing for a service facility
Management Science
Elementary queueing theory based on possibility theory
Fuzzy Sets and Systems
Analysis and simulation of fuzzy queues
Fuzzy Sets and Systems - Special issue on industrial engineering methods
Parametric programming to the analysis of fuzzy queues
Fuzzy Sets and Systems
Optimal Policies for Multi-server Non-preemptive Priority Queues
Queueing Systems: Theory and Applications
Optimizing a priority-discipline queueing model using fuzzy set theory
Computers & Mathematics with Applications
Fuzzy assignment of customers for a parallel queueing system with two heterogeneous servers
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Optimal selection of the service rate for a finite input source fuzzy queuing system
Fuzzy Sets and Systems
Hybrid pattern search and simulated annealing for fuzzy production planning problems
Computers & Mathematics with Applications
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In this paper we model, using the Queuing Theory, the situation in which the manager of some facilities wishes to maximize the profit generated by the same. The manager tries to attract customers and the effectiveness of his publicity politic is measured in the fraction of customers who renounce. In this paper, unlike the classic models, we consider that the service time of the only server of the facilities behave with uncertainty, which may be represented by means of a fuzzy number. The objective is to determine the rate to be paid by every customer for his service and the level of publicity which the manager must utilize to maximize his profits. The consideration of service times as fuzzy numbers implies that the function to be optimized has fuzzy coefficients, this is why it is necessary to use fuzzy optimization for the solution of the problem and, in addition, a new technique is proposed in order to optimize the functions of fuzzy profit of queuing models. To demonstrate the validity of the proposed proceeding is resolved satisfactorily, and applied as an example, a system of fuzzy queues, which is often found in real situations. The fuzzy queuing systems are more realistic than the crisp systems commonly used in many practical situations. Besides, the extension of the queuing decision models to fuzzy environment allows these models to have further applications.