Journal article
Information derivability analysis for quality assurance information management systems
Computers & industrial engineering, v 19(1)
1990
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Presently, international economic competition is increasing at a rapid rate. As a consequence, quality and productivity have become the two most critical issues for manufacturing companies. This paper proposes a specialized type of information system to upgrade quality control management practices and to take advantage of recent advances in manufacturing systems and information systems. It outlines some of the benefits and problems related to the development of a Quality Assurance Information Management System (QAIMS), and offers useful suggestions for the preliminary phases of the analysis and design of such a system. QAIMS is a computerized documentation and decision tool centered on quality-related activities. Equipped with a well designed QAIMS, management can reduce communication gaps and maximize interactions between and within all manufacturing and business entities. The QAIMS would help to incorporate consumer feedback in product design and manufacturing, quality control and maintenance, productivity improvements, and greater efficiencies in production and services. With a well-designed QAIMS, management can also make long-range strategic plans to compete effectively.
Metrics
Details
- Title
- Information derivability analysis for quality assurance information management systems
- Creators
- Bay Arinze - Drexel UniversityCheickna Sylla - New Jersey Institute of Technology
- Publication Details
- Computers & industrial engineering, v 19(1)
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:A1990EQ44400051
- Scopus ID
- 2-s2.0-0025628967
- Other Identifier
- 991019319077004721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Industrial