Access the full text.
Sign up today, get DeepDyve free for 14 days.
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
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.
International Journal of Computer Applications in Technology – Inderscience Publishers
Published: Jan 1, 1995
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.