The Representation and Impact of Information System Reliability on Cost Variance Decisions

1989 ◽  
Vol 20 (2) ◽  
pp. 378-392
Author(s):  
Daniel E. O'Leary
Keyword(s):  
Information System ◽  
System Reliability ◽  
Cost Variance

Fault Diagnosis and Reliability Growth for Information System

2014 ◽  
Vol 590 ◽  
pp. 763-767
Author(s):  
Zhi Hui Huang
Keyword(s):  
Information System ◽  
Bayesian Network ◽  
System Reliability ◽  
Functional Module ◽  
Decision Problems ◽  
Reliability Growth ◽  
Failure Data ◽  
Manufacturing Execution Systems ◽  
Growth Planning ◽  
Manufacturing Execution

This paper aiming at the zero-failure data and uncertain-decision problems exist in the information system reliability growth process, it proposes to build the Bayesian network topology of FMEA. It adopts Leaky Noisy-OR model, and it analyses the probability that the subsystem functional module will go wrong in quantity. It solves the problem of identifying the vague and incomplete information exists in the complex system rapidly and accurately, laying the foundation for further study of the reliability growth comprehensive ability assessment of system based on the Bayesian network. In this paper, on the background of Manufacturing Execution Systems (MES) engineering, aimed at research on models and evaluation methods of reliability growth for MES, enclosing reliability of MES task and design target, reliability growth test and analysis methods, it proposes the goal of MES reliability growth planning.

scholarly journals Model Satisfaction Users Measurement of Academic Information System Using End-User Computing Satisfaction (EUCS) Method

2020 ◽  
Vol 3 (2) ◽  
pp. 119-123
Author(s):  
Nur Aeni Hidayah ◽  
Elvi Fetrina ◽  
Alvali Zaqi Taufan
Keyword(s):  
Information System ◽  
User Satisfaction ◽  
System Reliability ◽  
Educational Institution ◽  
Sampling Technique ◽  
Ease Of Use ◽  
Practical Consideration ◽  
End User ◽  
Academic Information ◽  
End User Computing

As concrete steps in order to realize the vision and mission of an organization or educational institution is to implement the system of academic information. The one factor that influences the success of the academic information system is the satisfaction of users.  The problems in the user satisfaction are also issues that cannot be denied and continue to be studied. In consequently, having measurements related to user satisfaction is required. This research is done to see how the user satisfaction of the existing system has been implemented and to know what factorshas influenced the system. The method used in this study is a quantitative method using the End User Computing Satisfaction (EUCS) model whereas 255 respondents are chosen as the sample for the study. The purposive sampling technique is usedand the PLS-SEM approach with tools Smart PLS 3.0 is used for analyzing the data.  This research consists of 7 hypotheses and 8 variables, namely Content, Accuracy, Format, Timeliness, Ease of Use, System Reliability, System Speed and End-User Satisfaction. The research finds out that the current level of end-user satisfaction is in satisfied level. Inferentially, of the 7 hypotheses tested, 2 of them were rejected and the other 5; Accuracy, System Reliability, Timeliness, Content and System Spee;are accepted.Through this research, it is hoped that later it could be used as a practical consideration and theoretical study in thefuture.

Optimised information system reliability techniques for knowledge society acceptance

2009 ◽  
Vol 5 (3/4) ◽  
pp. 207 ◽  
Author(s):  
Nikolaos G. Bardis ◽  
Athanasios Drigas ◽  
Nikolaos Doukas ◽  
Nikolaos V. Karadimas
Keyword(s):  
Information System ◽  
System Reliability ◽  
Knowledge Society

Making Sense in Pitch Darkness: An Exploration of the Sociomateriality of Sensemaking in Crises

2017 ◽  
Vol 27 (1) ◽  
pp. 52-68 ◽  
Author(s):  
Olivier Berthod ◽  
Gordon Müller-Seitz
Keyword(s):  
Information System ◽  
Emotional Distress ◽  
System Reliability ◽  
Abrupt Change ◽  
Automated Systems ◽  
Organizational Process ◽  
Making Sense

A brief failure of one item on the display of the information system (IS) on Flight AF 447 wrought havoc in the coordination between the pilots and the aircraft, leading to the loss of all 228 lives on board. In this essay, we ask the following question: How can the very instruments supposed to ensure our safety and make organizations more reliable lead a team to destruction? We propose that the imbrication of material and human agencies in such highly automated systems drives an attitude of “mindful indifference” (i.e., the capacity for experienced operators to distinguish problems that could turn into critical ones from problems that can be tolerated on account of the overall system reliability). An abrupt change in this imbrication provoked emotional distress and focused the pilots’ attention toward the machine, instead of triggering an organizational process of sensemaking. We highlight the role of leadership in such situations.

scholarly journals Distributed System Reliability in Intelligence Information System

2014 ◽  
Vol 3 (33) ◽  
Author(s):  
Jugoslav Achkoski ◽  
Vladimir Trajkovik Vladimir Trajkovik
Keyword(s):  
Information System ◽  
Distributed System ◽  
System Reliability

scholarly journals Contribution to ECDIS Reliability using Markov Model

2014 ◽  
Vol 3 (2) ◽  
pp. 149-157 ◽  
Author(s):  
Dean Sumić ◽  
Dragan Peraković ◽  
Marinko Jurčević
Keyword(s):  
Information System ◽  
Markov Model ◽  
Simulation Model ◽  
System Reliability ◽  
Design Concept ◽  
Cold Standby ◽  
Electronic Chart ◽  
Standby System ◽  
Reliability And Availability ◽  
Bridge System

An Integrated Bridge System (IBS) contains a fully duplicated Electronic Chart Display and Information System (ECDIS). Although duplication should increase system reliability, reliability and availability are not improved. Proper ECDIS maintenance includes updating both: the information system and the provided chart system. This procedure, in practice, tends to decrease reliability and availability. A Markov ECDIS simulation model is given. A new design concept is presented and proposed. The entire ECDIS system is improved by adding a cold standby system preventing the occurrence of errors due to updating and upgrading of the system device.

scholarly journals Development of a Formal Model of the Research of Methods for Determining the Reliability of Information Systems

2021 ◽  
pp. 12-17
Author(s):  
Alexandr Bochkarev ◽  
◽  
Aleksey Babenko ◽  
Keyword(s):  
Information System ◽  
Information Systems ◽  
System Reliability ◽  
Slow Growth ◽  
Formal Model ◽  
Reliability Assessment ◽  
Reliable Operation ◽  
Reliability Indicators ◽  
Main Indicator ◽  
Complex Indicators

The state of reliability is the main indicator of the stable functioning of the information system. Reliability assessment is a complex indicator that consists of four groups of properties, namely: durability, reliability, maintainability and complex indicators. In turn, the reliability properties are composed of indicators of each of the properties. It is on the basis of these indicators that the reliability of the information system used or designed. The stable functioning of information systems largely depends on the reliable operation of technical components of the system, both physical and software. The reasons that suggest an increased interest in the problems of determining the reliability of information systems are: increasing the complexity of the hardware of information systems and the emergence of highperformance information systems; slow growth in the level of reliability of its components; increasing the significance of the hardware work implemented; complexity of the conditions of use, etc. In practice, probabilistic, dynamic, predictive, and static models for determining the reliability of information systems are used to assess reliability. Each of these methods uses the presented reliability indicators as the basis for determining its reliability assessment. The concepts of information system and reliability are presented. Models and methods for determining the reliability of information systems are analysed. Criteria for the development of a formal model of research methods for evaluating the reliability of information systems are defined. A formal model has been developed for the study of methods for determining the reliability of information systems.

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