scholarly journals Analysis of Repairable k-out-of-n System Model Using Inter-Arrival Failure Times

2018 ◽  
Vol 22 ◽  
pp. 01054
Author(s):  
Mehmet GÜRCAN ◽  
Yunus GÜRAL ◽  
Gökhan GÖKDERE
Keyword(s):  
Reliability Analysis ◽  
Reliability Theory ◽  
Important Application ◽  
System Model ◽  
Repairable System ◽  
Application Area ◽  
Important Place ◽  
Failure Times

Examination of repairable k-out-of-n system which has an important place in systems is an important application area of reliability theory. In general, the reliability analysis of a repairable system is based on the distribution of the lifetimes of the components in the system. In this paper, the reliability analysis of the repairable k-out-of-n system is made through the inter-arrival failure times of the components in the system.

Reliability Analysis Method on Repairable System with Standby Structure Based on Goal Oriented Methodology

2015 ◽  
Vol 32 (7) ◽  
pp. 2505-2517 ◽  
Author(s):  
Xiao-jian Yi ◽  
B.S. Dhillon ◽  
Jian Shi ◽  
Hui-na Mu ◽  
Hai-ping Dong
Keyword(s):  
Reliability Analysis ◽  
Repairable System ◽  
Analysis Method

scholarly journals Reliability analysis of a k-out-of-n:G repairable system with single vacation

2014 ◽  
Vol 38 (24) ◽  
pp. 6075-6097 ◽  
Author(s):  
Wenqing Wu ◽  
Yinghui Tang ◽  
Miaomiao Yu ◽  
Ying Jiang
Keyword(s):  
Reliability Analysis ◽  
Repairable System ◽  
Single Vacation

scholarly journals Topic Maps For Improving Services In Disaster Operations Management

2008 ◽  
Vol 1 (1) ◽  
pp. 83-92 ◽  
Author(s):  
G. Alan Wang ◽  
Christopher W. Zobel
Keyword(s):  
Operations Management ◽  
Information Exchange ◽  
Contextual Information ◽  
Relevant Information ◽  
Important Application ◽  
Service Science ◽  
Semantic Technologies ◽  
Application Area ◽  
Topic Maps ◽  
Preliminary Discussion

Disaster operations management is an increasingly important application area for the developing techniques of service science. This paper examines the use of topic maps, a semantic technology, within this environment, and provides a preliminary discussion of the benefits that its implementation can provide in the capture and exchange of contextual information. The discussion is motivated by a look at the different phases of disaster operations management in a services context, and focuses on the need for effective and relevant information exchange as an important part of the services process. As the amount and complexity of information increases within such processes, semantic technologies are becoming increasingly important as a means representing and managing contextual information. This paper seeks to help further the understanding of the relevance of such tools as part of the study of service science.

scholarly journals Reliability Analysis of Forest Machines Due to FMEA Method

2018 ◽  
Vol 26 (4) ◽  
pp. 200-206
Author(s):  
Pavol Ťavoda ◽  
Ján Kováč ◽  
Zygmunt Ł Łukaszczyk
Keyword(s):  
Reliability Analysis ◽  
Failure Mode ◽  
Real World ◽  
Operational Reliability ◽  
Reliability Theory ◽  
Human Potential ◽  
Effect Analysis ◽  
Operational Conditions ◽  
Operating Variable ◽  
Fmea Method

Abstract The article deals with the research of operational reliability of forest felling machines with the method FMEA (Failure Mode and Effect Analysis) and its implementation for observed machines in the organization. Forwarders 810D by John Deere were chosen for this research. The research was realized in real operational conditions. Application of the FMEA method allows flexibility in case of unexpected situations and optimization of human potential abilities. FMEA tool is a tool preventing outages operational reliability and preventive tool for ensuring the maintenance of facilities. This paper explores and verifies the operational reliability theory in practical real-world conditions, resulting in a reduction in operating (variable) costs, minimization of failures and readiness and increased performance of observed machines.

A characterization of the negative exponential distribution with application to reliability theory

1981 ◽  
Vol 18 (3) ◽  
pp. 652-659 ◽  
Author(s):  
M. J. Phillips
Keyword(s):  
Exponential Distribution ◽  
Random Variables ◽  
Reliability Theory ◽  
The Other ◽  
Independent Random Variables ◽  
System Availability ◽  
Failure Times ◽  
Negative Exponential Distribution ◽  
Negative Exponential

The negative exponential distribution is characterized in terms of two independent random variables. Only one of the random variables has a negative exponential distribution whilst the other can belong to a wide class of distributions. This result is then applied to two models for the reliability of a system of two modules subject to revealed and unrevealed faults to show when the models are equivalent. It is also shown, under certain conditions, that the system availability is only independent of the distribution of revealed failure times in one module when unrevealed failure times in the other module have a negative exponential distribution.

Marketing Data Mining

2008 ◽  
pp. 2824-2832
Author(s):  
Victor S.Y. Lo
Keyword(s):  
Data Mining ◽  
Important Application ◽  
Application Area ◽  
Customer Data ◽  
Research Opportunities ◽  
The Past ◽  
Future Behavior ◽  
Marketing Data

Data mining has been widely applied over the past two decades. In particular, marketing is an important application area. Many companies collect large amounts of customer data to understand their customers’ needs and predict their future behavior. This article discusses selected data mining problems in marketing and provides solutions and research opportunities.

A characterization of the negative exponential distribution with application to reliability theory

1981 ◽  
Vol 18 (03) ◽  
pp. 652-659 ◽  
Author(s):  
M. J. Phillips
Keyword(s):  
Exponential Distribution ◽  
Random Variables ◽  
Reliability Theory ◽  
The Other ◽  
Independent Random Variables ◽  
System Availability ◽  
Failure Times ◽  
Negative Exponential Distribution ◽  
Negative Exponential

The negative exponential distribution is characterized in terms of two independent random variables. Only one of the random variables has a negative exponential distribution whilst the other can belong to a wide class of distributions. This result is then applied to two models for the reliability of a system of two modules subject to revealed and unrevealed faults to show when the models are equivalent. It is also shown, under certain conditions, that the system availability is only independent of the distribution of revealed failure times in one module when unrevealed failure times in the other module have a negative exponential distribution.

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