Quality Information Systems in Advanced Manufacturing Environments

1996 ◽  
Vol 8 (3) ◽  
pp. 419-431 ◽  
Author(s):  
Joseph Sarkis ◽  
Michael Reimann
Keyword(s):  
Information Systems ◽  
Quality Information ◽  
Advanced Manufacturing ◽  
Manufacturing Environments

scholarly journals Data Cleaning in Knowledge Discovery Database-Data Mining (KDD-DM)

2019 ◽  
Vol 8 (6S3) ◽  
pp. 2196-2199
Keyword(s):  
Data Mining ◽  
Information Systems ◽  
Data Quality ◽  
Knowledge Discovery ◽  
Information Management ◽  
Data Cleaning ◽  
Main Issue ◽  
Quality Information ◽  
Data Preparation ◽  
Paper Review

Data quality is a main issue in quality information management. Data quality problems occur anywhere in information systems. These problems are solved by Data Cleaning (DC). DC is a process used to determine inaccurate, incomplete or unreasonable data and then improve the quality through correcting of detected errors and omissions. Various process of DC have been discussed in the previous studies, but there is no standard or formalized the DC process. The Domain Driven Data Mining (DDDM) is one of the KDD methodology often used for this purpose. This paper review and emphasize the important of DC in data preparation. The future works was also being highlight.

scholarly journals How to Provide for an Appropriate Dealing with Business Decision-Making from the Viewpoint of Informing

10.28945/2378 ◽  
2001 ◽  
Author(s):  
Vojko Potocan
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Quality Information ◽  
Main Field ◽  
Business Decision ◽  
Business Information

Economics of business decision-making (BDM) is target-oriented into management of the economic flow of business activities. Has a major impact on the level of quality of enterprise's operation. Business decision-making (BDM) is based on information, which shows the characteristics of the decisions and provides an additional and necessary knowledge. The main field of the management of the BDM is presented by the economic treatment of decisions, which are based on various information. The picture of the BDM is illustrated by various sorts, types and forms of information that are primarily created by the target- oriented information systems. These ensure a corresponding structured quality information for BDM at the selected levels of management. Due to the tradition, the usual business information hardly meets criteria of contemporary holism.

The Importance of Logistics Dimension in Information Management

2018 ◽  
pp. 583-601
Author(s):  
Pedro Fernandes Anunciação ◽  
Marina Rosa ◽  
Monique de Costa ◽  
Vanessa Oliveira
Keyword(s):  
Information Systems ◽  
Information Management ◽  
Quality Information ◽  
Success Factor ◽  
Economic Activities ◽  
Production Chain ◽  
Economic Agents ◽  
Critical Success ◽  
Economic Organizations ◽  
Management Processes

The evolution of management processes and the speed of the markets have highlighted the increasingly evident need for sharing of information and knowledge between the different economic agents. The competitiveness of economic organizations in a relational economic environment requires quality information. This feature is a critical success factor in the performance of economic activities. Organizations should seek to understand the internal and external dynamics inherent to the realization of their economic activities, identifying the various partners involved, and integrating their information systems, among others. The Volkswagen Autoeuropa is a reference to the management and economic organizations in which is evident the importance of information in the development of its activities with its partners and its centrality in the operation of the entire production chain. The objective of this study is to highlight the importance of logistics vision on the architecture of information systems, with reference to the case of Volkswagen Autoeuropa.

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