<abstract xmlns="http://www.w3.org/1999/xhtml">Background: The Weibull distribution is one of the most important lifetime distributions in applied statistics. Weibull analysis is the leading method in the world for fitting and analyzing lifetime data. We discuss one of the earliest decision support system for the assessment of a distribution for the parameters of the Weibull reliability model using expert information. We then present a different approach to assess the parameters distribution. Objectives: The studies mentioned in this paper aimed to construct a distribution of the parameters of the Weibull reliability model and apply it in the domain of Maintenance Optimization. Method: The parameters of the Weibull reliability model are considered random variables and a distribution for the parameters is assessed using informed judgment in the form of reliability estimates from vendor information, engineering knowledge or experience in the field. Results: The results are the development of modern maintenance optimization models that can be embodied in decision support systems. Conclusion: While the information management part is important in the building of maintenance optimization decision systems, the accuracy of the mathematical and statistical algorithms determines the level of success of the maintenance solution.</abstract>

Background: The Weibull distribution is one of the most important lifetime distributions in applied statistics. Weibull analysis is the leading method in the world for fitting and analyzing lifetime data. We discuss one of the earliest decision support system for the assessment of a distribution for the parameters of the Weibull reliability model using expert information. We then present a different approach to assess the parameters distribution. Objectives: The studies mentioned in this paper aimed to construct a distribution of the parameters of the Weibull reliability model and apply it in the domain of Maintenance Optimization. Method: The parameters of the Weibull reliability model are considered random variables and a distribution for the parameters is assessed using informed judgment in the form of reliability estimates from vendor information, engineering knowledge or experience in the field. Results: The results are the development of modern maintenance optimization models that can be embodied in decision support systems. Conclusion: While the information management part is important in the building of maintenance optimization decision systems, the accuracy of the mathematical and statistical algorithms determines the level of success of the maintenance solution.

Weibull Decision Support Systems in Maintenance

University of Dammam, College of Business Administration, Dammam, Saudi Arabia

La Trobe University, Faculty of Science, Technology and Engineering School of Engineering and Mathematical Sciences, Department of Electronic Engineering, Melbourne, Australia

George Washington University, Department of Physics, 805 21st street, NW, suite 301,Washington D.C., U.S.A

Organizacija

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

{"article-title":"Weibull Decision Support Systems in Maintenance"}

Background: The Weibull distribution is one of the most important lifetime distributions in applied statistics. Weibull analysis is the leading method in the...

Weibull Decision Support Systems in Maintenance

Pubblicato online: 17 mag 2014

Pagine: 81 - 89

Ricevuto: 04 nov 2013

Accettato: 09 feb 2014

DOI: https://doi.org/10.2478/orga-2014-0008

Parole chiave
Weibull Distribution, Reliability, Inference, Maintenance, Expert Opinion

© by Khalid Aboura

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Weibull Decision Support Systems in Maintenance

Pubblicato online: 17 mag 2014

Pagine: 81 - 89

Ricevuto: 04 nov 2013

Accettato: 09 feb 2014

DOI: https://doi.org/10.2478/orga-2014-0008

Parole chiaveWeibull Distribution, Reliability, Inference, Maintenance, Expert Opinion

© by Khalid Aboura

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Parole chiave
Weibull Distribution, Reliability, Inference, Maintenance, Expert Opinion