Notice of RetractionAge replacement optimization with uncertainty of life time distribution parameters

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

A maintenance interval optimization problem with uncertain parameters of life time distribution is discussed in this paper. Based on the classical age replacement model, a new maintenance interval optimization model with uncertain parameters is established. The model is a nonlinear programming problem. The objective function is to minimize the maximum cost rate increased relative to the possible minimum cost rate. To treat the `min max´ operator, an equivalent function is introduced, and a proof and algorithm complexity are also put forward. The Newton interaction method is used to compute the numerical solution. Two numerical examples are given in the last section to demonstrate the algorithm effectiveness. Only the finite combinations of parameters can be evaluating by this method. If the feasible region of parameter is continuous, this method can be also used by splitting the continuous values of parameters into finite discrete values.