Stochastic models in preventive maintenance policies

Date

2014-07-19

Author

Gölbaşı, Onur
Demirel, Nuray

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

221
views

0
downloads

In recent decades, philosophy behind maintenance has varied consistently due to the changes in complexity of designs, advances in automation and mechanization, adaptation to the fast growing market demand, commercial computation in the sectors, and environmental issues. In mid-forties, simplicity of designs, limited maintenance opportunities, and immaturity of trade culture made enough to perform only fix it when it broke approach, i.e. corrective maintenance, after failures. Last quarter of the 21th century made essential to constitute more conservative and preventive maintenance policies in order to ensure safety, reliability, and availability of systems with longer lifetime and cost effectiveness. Preventive maintenance can provide an economic saving more than 18% of operating cost of systems. In this basis, various stochastic models were proposed as a tool to constitute a maintenance policy to measure system availability and to obtain optimal maintenance periods. This paper presents a general perspective on common stochastic models in maintenance planning such as Homogenous Poisson Process, Non-Homogenous Poisson Process, and Imperfect Maintenance. The paper also introduces two common maintenance policies, block and age replacement policy, using these stochastic models.

Subject Keywords

Preventive maintenance policies, Stochastic modelling

URI

https://hdl.handle.net/11511/41942

DOI

https://doi.org/10.4028/www.scientific.net/amr.1016.802

Collections

Department of Mining Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Stochastic simulations of biological networks under impulses Yazıcı, Müge; Purutçuoğlu Gazi, Vilda; Department of Statistics (2016) The impulses are one of the sources of fluctuations which lead to the sharp changes in the biochemical systems such as the changes in epidemic and population models. In this study, as the novelty, we implement these effects in exact stochastic simulation algorithms, namely, the Gillespie method and the first reaction method, by changing the chemical master equations (CME) with impulses. Hereby in the extension of these approaches with impulses, we consider different scenarios such as the sudden decrease of ...
Using system dynamics to support strategic decision-making: the case of digitalization in modular construction company Kaya, Hazal Deniz; Dikmen Toker, İrem; Department of Civil Engineering (2022-7) Digital technologies have become a part of the transformative change of industries for more efficient production, business models, and value chains with the onset of Industry 4.0. The AEC business had to follow this trend due to globalization and the increasing complexity of projects, and the use of digital technologies for innovation has become increasingly common. However, it is common knowledge that the construction industry takes a long time to incorporate new technology and adapt business models to dig...
Potential Utilization of Building Information Models for Planning Maintenance Activities Akçamete Güngör, Aslı; Garrett, James H (2010-06-30) The opportunities for leveraging Building Information Models (BIMs) for facility operations are compelling and yet utilization of BIMs during building operation and maintenance is falling behind the BIM implementations for design and construction. Current studies of BIMs used for the operations phase and commercially available technologies focus on transferring information from the design and construction phases to the operations phase by enabling creation and capturing of digital facility information throu...
Assessing Information Technology Use in Organizations: Developing a Framework Sezgin, Emre; Özkan Yıldırım, Sevgi (2011-10-07) Increasing use of current and developing information technologies (IT) within business and production processes is a required transformation to survive in the market. However. IT should be well-managed to be adapted by an organization as a whole. This study proposes a new model for the assessment of IT use in organizations. The aim is to assist decision making processes in information technology management through exploring strength and weaknesses of organization on IT tools and applications. The model has ...
FLEXIBLE AUTOMATION IN THE UNITED-STATES ENGINEERING INDUSTRIES Taymaz, Erol (1991-12-01) The changes in manufacturing systems and industrial structure brought about by the development of new, computer-based flexible technologies has been a subject of growing debate during the last decade. There is a lack of solid empirical support for almost all hypotheses developed in this debate since data on the relative use of various manufacturing systems are not available for an econometric analysis of the subject. The objective of this paper is to determine the major manufacturing systems and their distr...

Citation Formats

O. Gölbaşı and N. Demirel, “Stochastic models in preventive maintenance policies,” 2014, vol. 1016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41942.