Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
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
227
views
0
downloads
Cite This
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
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
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.