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Big Data and Data Modelling for Manufacturing Information Systems

Big Data and Data Modelling for Manufacturing Information Systems

Norman Gwangwava, Khumbulani Mpofu, Samson Mhlanga
Copyright: © 2015 |Pages: 23
ISBN13: 9781466685055|ISBN10: 1466685050|EISBN13: 9781466685062
DOI: 10.4018/978-1-4666-8505-5.ch013
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MLA

Gwangwava, Norman, et al. "Big Data and Data Modelling for Manufacturing Information Systems." Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence, edited by Noor Zaman, et al., IGI Global, 2015, pp. 266-288. https://doi.org/10.4018/978-1-4666-8505-5.ch013

APA

Gwangwava, N., Mpofu, K., & Mhlanga, S. (2015). Big Data and Data Modelling for Manufacturing Information Systems. In N. Zaman, M. Seliaman, M. Hassan, & F. Marquez (Eds.), Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence (pp. 266-288). IGI Global. https://doi.org/10.4018/978-1-4666-8505-5.ch013

Chicago

Gwangwava, Norman, Khumbulani Mpofu, and Samson Mhlanga. "Big Data and Data Modelling for Manufacturing Information Systems." In Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence, edited by Noor Zaman, et al., 266-288. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8505-5.ch013

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Abstract

The evolving Information and Communication Technologies (ICTs) has not spared the manufacturing industry. Modern ICT based solutions have shown a significant improvement in manufacturing industries' value stream. Paperless manufacturing, evolved due to complete automation of factories. The chapter articulates various Machine-to-Machine (M2M) technologies, big data and data modelling requirements for manufacturing information systems. Manufacturing information systems have unique requirements which distinguish them from conventional Management Information Systems. Various modelling technologies and standards exist for manufacturing information systems. The manufacturing field has unique data that require capturing and processing at various phases of product, service and factory life cycle. Authors review developments in modern ERP/CRM, PDM/PLM, SCM, and MOM/MES systems. Data modelling methods for manufacturing information systems that include STEP/STEP-NC, XML and UML are also covered in the chapter. A case study for a computer aided process planning system for a sheet metal forming company is also presented.

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