Development of an online quality information system for e-manufacturing

Jiao, R, Pokharel, S, Kumar, A and Zhang, L 2007, 'Development of an online quality information system for e-manufacturing', Journal of Manufacturing Technology Management, vol. 18, no. 1, pp. 36-53.


Document type: Journal Article
Collection: Journal Articles

Title Development of an online quality information system for e-manufacturing
Author(s) Jiao, R
Pokharel, S
Kumar, A
Zhang, L
Year 2007
Journal name Journal of Manufacturing Technology Management
Volume number 18
Issue number 1
Start page 36
End page 53
Total pages 18
Publisher Emerald Group Publishing Ltd.
Abstract Purpose - In an e-manufacturing environment, the acquisition of real time quality data and information is paramount for distributed collaborative manufacturers to make quick and correct actions towards quality problems in a manufacturing process. This paper attempts to assist manufacturers in obtaining such data and information and further to make decisions regarding quality control. Design/methodology/approach - In this paper, an online quality information system (OQIS) for quality control in an e-manufacturing environment is presented. The common object request broker architecture standards and client-server technologies are applied to obtain real time data and information whenever required at different locations. In addition, several modules, responsible for product design, process planning, quality control and data input, are developed within a coherent OQIS information model. Findings - Preliminary results show advantages of the OQIS for companies to obtain real time quality data and information. It can also suggest possible improvements pertaining to quality control towards e-manufacturing. Research limitations/implications - The proposed OQIS can be further developed to solve such issues as explanation of complex quality information and deployment costs in the enterprise. Further research should be directed to the evolution of OQIS. Originality/value - The OQIS can provide consistent quality data and information, based on which manufacturers can make timely and correct decisions in solving quality problems in an e-manufacturing environment.
Subject Business and Management not elsewhere classified
DOI - identifier 10.1108/17410380710717634
ISSN 1741-038X
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