Information System Reliability Quantitative Assessment Method and Engineering Application

2018 ◽  
Author(s):  
Jingwei Shang ◽  
Ping Chen ◽  
Qiang Wang ◽  
Liewen Lu
Keyword(s):  
Information System ◽  
System Reliability ◽  
Quantitative Assessment ◽  
Engineering Application ◽  
Assessment Method

Quantitative Assessment Method for Supporting Scenario Workshops toward Sustainable Consumption and Production

Procedia CIRP ◽  
2021 ◽  
Vol 98 ◽  
pp. 49-54
Author(s):  
Sota Onozuka ◽  
Yusuke Kishita ◽  
Mitsutaka Matsumoto ◽  
Michikazu Kojima ◽  
Yasushi Umeda
Keyword(s):  
Quantitative Assessment ◽  
Sustainable Consumption ◽  
Assessment Method ◽  
Sustainable Consumption And Production

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 Research Methodology of the Method of Optimization of Information Interaction in the Aspect of Solving the User's Problem

Telecom IT ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 50-58
Author(s):  
M. Buinevich ◽  
P. Kurta
Keyword(s):  
Information System ◽  
Scientific Research ◽  
Interaction Model ◽  
Software Tool ◽  
Assessment Method ◽  
Performance Criteria ◽  
Model Interaction ◽  
Scenario Optimization ◽  
Information Interaction ◽  
Scientific Results

Research subject. Information interaction of the user with the information system. Objective. Improving the efficiency of user interaction with the information system to solve the main problem by customizing its interface and work script. Core results. The proposed methodology of scientific research aimed at achieving the goal, and consisting of 3 steps. As a result of each of them, the following main scientific results are expected to be obtained: interaction model, interaction assessment method, interaction optimization method. Also, it is expected to obtain private scientific results: the classification of the disadvantages of interaction, the influence of its parameters on the final efficiency, the architecture of the interface and scenario optimization system. Main conclusions. The proposed research scheme is scientifically correct and allows you to conduct a fullfledged scientific research and achieve the goal of the work. As a result, a method and a software tool will be developed that will make it possible to adjust a specific interface and a scenario for its work according to its own performance criteria - potency, operativeness and resource efficiency; at the same time, the general logic of solving the problem by the information system will remain unchanged.

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.

A Study on the Quantitative Assessment Method for Shift Quality of Automatic Transmission in a Wheel Loader

2008 ◽  
Vol 32 (7) ◽  
pp. 561-568 ◽  
Author(s):  
Jong-Chan Lee ◽  
Kwan-Soo Kim ◽  
Jong-Hyung Yim ◽  
Hyo-Won Lee ◽  
Young-Min Kwon ◽  
...  
Keyword(s):  
Quantitative Assessment ◽  
Automatic Transmission ◽  
Assessment Method ◽  
Wheel Loader ◽  
Shift Quality

Measuring the Information Volume of Teaching Material in Physics and Chemistry on the Basis of the Inter-Disciplinary Connections’ Information Model

2013 ◽  
Vol 785-786 ◽  
pp. 1484-1488
Author(s):  
Tatyana N. Gnitetskaya ◽  
Elena B. Ivanova
Keyword(s):  
Quantitative Assessment ◽  
Information Model ◽  
Assessment Method ◽  
Teaching Material ◽  
Physics Courses ◽  
Account Information ◽  
The Cross

This article presents a quantitative assessment method of information volume contained in a teaching material unit. The method is based on the inter-disciplinary connections information model elaborated by Gnitetskaya T. N. The method was applied to school chemistry and physics courses for the 8th grade. The cross-curricular links object is the concept of the electron. The information volume was calculated transferred through the electron concept as well as the minimum apprehension time of the teaching material in students. As a part of the method, the article presents an example of optimizing the inter-disciplinary connections in the teaching material. The possibility of designing the curricular contents based on the inter-disciplinary connections information model taking into account information limitations is shown.

Research on Quantitative Assessment Method of Power Transformer Supervision Based on Extensible Theory

2014 ◽  
Vol 644-650 ◽  
pp. 2587-2590
Author(s):  
Yu Qin Xu ◽  
Xiang Ling Zhan ◽  
Zheng Ren ◽  
Tong Li ◽  
Guo Hua Qiao ◽  
...  
Keyword(s):  
Quantitative Evaluation ◽  
Evaluation System ◽  
Quantitative Assessment ◽  
Power Transformer ◽  
Assessment Method ◽  
Key Factors ◽  
Quantitative Classification ◽  
Element Theory

The quantitative classification of transformer supervision can improve the quality of transformer supervision. For the contents of transformer supervision, this paper establishes an index system of transformer supervision. Example results show that the extension matter-element theory which is applied to transformer supervision quantitative evaluation is more reasonable. According to the categories of transformer supervision, this paper quantifies the uncertainty and builds the evaluation system of transformer supervision. It realizes the evaluation of transformer supervision and gets the key factors which influence the transformer supervision. This evaluation system is conducive to guide the transformer supervision to be more scientific and effective.

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