A Text Mining Approach Agent-Based DSS for IT Infrastructure Maintenance

2021 ◽  
Vol 13 (3) ◽  
pp. 71-91
Author(s):  
Sidhamed Elandaloussi ◽  
Pascale Zarate ◽  
Noria Taghezout
Keyword(s):  
Information Technology ◽  
Multi Criteria Decision Making ◽  
It Infrastructure ◽  
Significant Deterioration ◽  
Agent Based ◽  
Decision Making Problem ◽  
Infrastructure Maintenance ◽  
Short Time ◽  
User Trust ◽  
Network Software

Information technology (IT) infrastructure refers to the combined set of network, software, hardware, applications, and all the information technology-related equipment for an enterprise IT environment. In addition, it provides the entire skeleton for an organization to continue delivering several services to its internal members (employees) and external ones (customers/partners). The interruption of services leads to a significant deterioration of the infrastructure, and at the same time, it slows down their functioning. Additionally, it can result in important loss of user trust. Therefore, we need to proactively help the technician teams to assess the quality and availability of their IT infrastructure. This study may help to build an approach for an IT infrastructure called MAITD-2 in order to classify, analyze, and take problems to closure in a short time face to a multi-criteria decision-making problem.

Shilling & Smith Acquisition of Xteria Inc.: Data Center Technology Leasing

2017 ◽  
pp. 1-9
Author(s):  
Mark Jeffery ◽  
Cassidy Shield ◽  
H. Nevin Ekici ◽  
Mike Conley
Keyword(s):  
Information Technology ◽  
Data Center ◽  
Credit Card ◽  
It Infrastructure ◽  
Technology Infrastructure ◽  
Information Technology Infrastructure ◽  
Secondary Objective ◽  
Useful Life ◽  
Strategic Context ◽  
A Company

The case centers on Shilling & Smith's acquisition of Xteria Inc. and the resulting need to quickly scale the company's IT infrastructure to accommodate the acquisition. The case is based on a real leasing problem faced by a major retail firm in the Chicago area when it purchased a small credit card processing firm and scaled the operations to handle the retail firm's credit card transactions. The CIO of Shilling & Smith needs to determine which lease option is the best means of providing the technical infrastructure needed to support the firm after the acquisition of Xteria. Several issues will drive this decision, including the value and useful life of the equipment, as well as the strategic context of the firm. This case examines how to evaluate different lease options when acquiring data center information technology infrastructure. Specifically, the case addresses software vs. hardware leasing, different lease terms, and choosing between different lease structures depending on the strategy and needs of a company. This case enables students to understand the different types of technology leases and in which situations these leases would be employed.The Shilling & Smith case examines how to evaluate different lease options when acquiring data center information technology infrastructure. Specifically, students learn software vs. hardware leasing, different lease terms, and how to choose between different lease structures depending on the strategy and needs of the company. A secondary objective of the case is to teach students the important components and relative costs of information technology infrastructure.

scholarly journals Raise your Glasses - the Water's Magic! Strategic IT at SA Water: A Case Study in Alignment, Outsourcing and Governance

2004 ◽  
Vol 19 (2) ◽  
pp. 130-139 ◽  
Author(s):  
Alan Thorogood ◽  
Philip Yetton ◽  
Anthony Vlasic ◽  
Joan Spiller
Keyword(s):  
Water Quality ◽  
Information Technology ◽  
Reporting System ◽  
Business Value ◽  
It Infrastructure ◽  
Australian Water ◽  
Quality Reporting ◽  
Business Applications ◽  
The Government

The South Australian Water case study illustrates the management challenges in aligning Information Technology with business objectives in a publicly owned corporation. To achieve the alignment, the new CIO begins by refreshing the IT infrastructure to support the required business applications. When the Government establishes ‘Improved water quality’ as a major corporate goal, the CIO seeks to add value to the business by developing a quality reporting system that leverages the existing technology. At the same time, he demonstrates to the corporation the IT function's capability to deliver business value through the management of multiple outsourcing vendors.

scholarly journals SOLUTION OF A MULTI-CRITERIA DECISION- MAKING PROBLEM ON BASE OF PROMETHEE METHOD

2020 ◽  
Author(s):  
Salimov Vagif Hasan Oglu
Keyword(s):  
Decision Making ◽  
Pairwise Comparison ◽  
Preference Function ◽  
Pairwise Comparisons ◽  
Multi Criteria Decision Making ◽  
Job Selection ◽  
Decision Making Problem ◽  
Practice Problem ◽  
Promethee Method ◽  
Large Groups

Multi criteria decision making problem was considered. Review of existing multi criteria decision making methods was presented. Methods of solving this problem can be divided into two large groups: methods using the aggregation of all alternatives according to all criteria and the solution of the obtained one-criterion problem, the second group is associated with the procedure of pairwise comparisons. Promethee method have been considered with details. This method is based on the pairwise comparison of alternatives and specific aggregation procedures. The preference function are considered for minimization and maximization cases. As practice problem the job selection is considered. Three important criteria are used: salary, time, risk. The results of all computations are presented.

scholarly journals The Future of International Statistical Data Sharing and New Issues of Interaction

2019 ◽  
Vol 26 (7) ◽  
pp. 55-66
Author(s):  
O. E. Bashina ◽  
N. A. Komkova ◽  
L. V. Matraeva ◽  
V. E. Kosolapova
Keyword(s):  
Information Technology ◽  
International Organizations ◽  
Continuous Monitoring ◽  
Statistical Data ◽  
National Level ◽  
International Level ◽  
It Infrastructure ◽  
General Statistical ◽  
Practical Recommendations ◽  
Metadata Generation

The article deals with challenges and prospects of implementation of the Statistical Data and Metadata eXchange (SDMX) standard and using it in the international sharing of statistical data and metadata. The authors identified potential areas where this standard can be used, described a mechanism for data and metadata sharing according to SDMX standard. Major issues classified into three groups - general, statistical, information technology - were outlined by applying both domestic and foreign experience of implementation of the standard. These issues may arise at the national level (if the standard is implemented domestically), at the international level (when the standard is applied by international organizations), and at the national-international level (if the information is exchanged between national statistical data providers and international organizations). General issues arise at the regulatory level and are associated with establishing boundaries of responsibility of counterpart organizations at all three levels of interaction, as well as in terms of increasing the capacity to apply the SDMX standard. Issues of statistical nature are most often encountered due to the sharing of large amounts of data and metadata related to various thematic areas of statistics; there should be a unified structure of data and metadata generation and transmission. With the development of information sharing, arise challenges and issues associated with continuous monitoring and expanding SDMX code lists. At the same time, there is a lack of a universal data structure at the international level and, as a result, it is difficult to understand and apply at the national level the existing data structures developed by international organizations. Challenges of information technology are related to creating an IT infrastructure for data and metadata sharing using the SDMX standard. The IT infrastructure (depending on the participant status) includes the following elements: tools for the receiving organizations, tools for sending organization and the infrastructure for the IT professionals. For each of the outlined issues, the authors formulated some practical recommendations based on the complexity principle as applied to the implementation of the international SDMX standard for the exchange of data and metadata.

THE INTEGRATION OF ANALYTICAL HIERARCHY PROCESS AND DATA ENVELOPMENT ANALYSIS IN A MULTI-CRITERIA DECISION-MAKING PROBLEM

2006 ◽  
Vol 05 (02) ◽  
pp. 263-276 ◽  
Author(s):  
NORITA AHMAD ◽  
DANIEL BERG ◽  
GENE R. SIMONS
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Analytical Hierarchy Process ◽  
Data Envelopment ◽  
Multi Criteria Decision Making ◽  
Analysis Model ◽  
Decision Tool ◽  
Manufacturing Enterprises ◽  
Decision Making Problem ◽  
Hierarchy Process

This research focuses on developing a model that can be used to assess the performance of Small to Medium-Sized Manufacturing Enterprises (SMEs). The model will result from the integration of a decision tool called the Analytical Hierarchy Process (AHP) and a data analysis model called Data Envelopment Analysis (DEA). This research demonstrates that by eliminating flaws and taking advantage of each methodology's specific characteristics in identifying and solving problems, the new integrated AHP/DEA model appears to be a logical and sensible solution in multi-criteria decision-making problem.

Modeling Knowledge Employee’s Turnover Based on P-SVM

2010 ◽  
Vol 121-122 ◽  
pp. 825-831
Author(s):  
Yong Zhao ◽  
Ye Zheng Liu
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Model Development ◽  
Forecast Model ◽  
Support Vector ◽  
Multi Criteria Decision Making ◽  
Parameters Selection ◽  
Vector Machines ◽  
Decision Making Problem ◽  
Simulation Results

Knowledge employee’s turnover forecast is a multi-criteria decision-making problem involving various factors. In order to forecast accurately turnover of knowledge employees, the potential support vector machines(P-SVM) is introduced to develop a turnover forecast model. In the model development, a chaos algorithm and a genetic algorithm (GA) are employed to optimize P-SVM parameters selection. The simulation results show that the model based on potential support vector machine with chaos not only has much stronger generalization ability but also has the ability of feature selection.

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