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Managing data tasks using concepts of industrial engineering and operations management

Managing data tasks using concepts of industrial engineering and operations management Preparing a set of quality data is a task which usually requires time, effort, and cost, and involves people, equipment, materials, and methodologies. Because of the enormity of the aspects of the data task, it has been difficult to devise one methodology to address it and several approaches have usually been employed. It may be possible, however, to facilitate performing activities of the data task, and improve resource utilisation by applying concepts from industrial engineering (IE) and operations management (OM) to it. The objectives, activities, and problems encountered in the data task have counterparts in manufacturing, where the concepts of IE and OM are primarily applied, which may render these concepts suitable to the data task. This paper proposes application of concepts from IE and OM to the data task, and presents several examples and suggestions on their effectiveness, suitability, and usefulness to it. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Computer Applications in Technology Inderscience Publishers

Managing data tasks using concepts of industrial engineering and operations management

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1741-5047
eISSN
0952-8091
DOI
10.1504/IJCAT.1995.062418
Publisher site
See Article on Publisher Site

Abstract

Preparing a set of quality data is a task which usually requires time, effort, and cost, and involves people, equipment, materials, and methodologies. Because of the enormity of the aspects of the data task, it has been difficult to devise one methodology to address it and several approaches have usually been employed. It may be possible, however, to facilitate performing activities of the data task, and improve resource utilisation by applying concepts from industrial engineering (IE) and operations management (OM) to it. The objectives, activities, and problems encountered in the data task have counterparts in manufacturing, where the concepts of IE and OM are primarily applied, which may render these concepts suitable to the data task. This paper proposes application of concepts from IE and OM to the data task, and presents several examples and suggestions on their effectiveness, suitability, and usefulness to it.

Journal

International Journal of Computer Applications in TechnologyInderscience Publishers

Published: Jan 1, 1995

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