Dragan Banjevic

TL;DR: This paper proposes the application of a principal components proportional hazards regression model in condition-based maintenance (CBM) optimization and describes the main issues and problems in using the proposed methodology.

TL;DR: Various approaches for the determination of the optimal stock size, when the stock is composed of non-repairable or repairable parts are presented, focused on spares for relatively expensive, highly reliable components, rather than on fast-moving spare parts.

TL;DR: The proposed model is formulated as a mixed-integer mathematical programming model in which the network flow structure is used to simulate the flow of aircraft between missions, hanger and repair shop and its performance is verified and analyzed in terms of a number of test problems adopted from the real data.

TL;DR: In this article, the authors present a model directed to the determination of the ordering decision for a spare part when the component in operation is subject to a condition monitoring program, based on the remaining useful life (RUL) estimation obtained through the assessment of component age and condition indicators.

TL;DR: This paper proposes two optimization models for the periodic inspection of a system with “hard-type” and “soft- type” components and develops a simulation algorithm to calculate these expected values for a complex model.