Date of Graduation
12-2015
Document Type
Thesis
Degree Name
Bachelor of Science in Industrial Engineering
Degree Level
Undergraduate
Department
Industrial Engineering
Advisor/Mentor
Dr. Ed Pohl
Committee Member/Reader
Dr. Chase Rainwater
Abstract
Operating a business efficiently depends on effective everyday decision-making. In turn, those decisions are influenced by the quality of data used in the decision-making process, and maintaining good data quality becomes more challenging as a business expands. Protecting the quality of the data and the information it generates is a challenge faced by many companies across all industrial sectors. As companies begin to use data from these large data bases they will need to begin to develop strategies for maintaining and assessing the reliability of the information they generate using this data. A considerable amount of literature exists on data quality but minimal amounts of information exist on information reliability and maintenance. For these reasons, it is important to study the current methods used by businesses to maintain desired levels of data and information quality. The purpose of this paper is to describe and assess the available knowledge relating data quality, reliability and maintenance by performing a systematic literature review in these areas.
Citation
Guerra Garcia, D. A. (2015). Modeling Information Reliability and Maintenance: A Systematic Literature Review. Industrial Engineering Undergraduate Honors Theses Retrieved from https://scholarworks.uark.edu/ineguht/37
Included in
Data Storage Systems Commons, Industrial Engineering Commons, Operational Research Commons