JOURNAL ARTICLE

Performance measurement integrated information framework in e-Manufacturing

Hilaida TeranJuan Carlos HernándezAntonio Vizán IdoipeJosé Ríos

Year: 2013 Journal:   Enterprise Information Systems Vol: 8 (6)Pages: 607-629   Publisher: Taylor & Francis

Abstract

The implementation of Internet technologies has led to e-Manufacturing technologies becoming more widely used and to the development of tools for compiling, transforming and synchronising manufacturing data through the Web. In this context, a potential area for development is the extension of virtual manufacturing to performance measurement (PM) processes, a critical area for decision making and implementing improvement actions in manufacturing. This paper proposes a PM information framework to integrate decision support systems in e-Manufacturing. Specifically, the proposed framework offers a homogeneous PM information exchange model that can be applied through decision support in e-Manufacturing environment. Its application improves the necessary interoperability in decision-making data processing tasks. It comprises three sub-systems: a data model, a PM information platform and PM-Web services architecture. A practical example of data exchange for measurement processes in the area of equipment maintenance is shown to demonstrate the utility of the model.

Keywords:
Interoperability Integrated Computer-Aided Manufacturing Process development execution system Manufacturing execution system Computer-integrated manufacturing Context (archaeology) Computer science Systems engineering Decision support system Information exchange Information model The Internet Engineering Manufacturing engineering Process management Software engineering World Wide Web Data mining

Metrics

14
Cited By
3.33
FWCI (Field Weighted Citation Impact)
38
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Flexible and Reconfigurable Manufacturing Systems
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Digital Transformation in Industry
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Collaboration in agile enterprises
Social Sciences →  Business, Management and Accounting →  Management of Technology and Innovation

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