On Demand Data Retrieval Web Service based Framework for Manufacturing Supply Chain Integration and Management Support

Authors

  • J. B. Carvalho Department of Production and Systems University of Minho Braga
  • M. L. R. Varela Department of Production and Systems University of Minho
  • J. E. Hernández Management School University of Liverpool
  • A. M. Madureira Informatics Engineering Department, School of Engineering

Keywords:

Web Service; Data Warehouse; Decision Support System; RESTFull; ERP; Supply Chain

Abstract

Manufacturing management can benefit highly from the use of web-based service technology. Moreover, it turns out to be possible to gain in agility and flexibility for building supply chain management systems, which deals with complex and sequential flows of information. This is due to the central idea that web service technologies helps to ensure the connectivity and interoperability between software components over the web, in where the available amount of information will be crucial to support better any manufacturing management decision-making process Hence, having real-time information available at any time can increase the information transparency, which will make easier for manufacturing managers to identify potential risks on their processes. Therefore, in this paper we propose a framework for supporting, in real-time and on-demand, the updating process of an enterprise data warehouse system which is based on: typical scheduling extraction, transformation and loading tool. Thereafter, this on-demand tool will be oriented to allow managers to access updated and valuable data through the use of web-based services which will handle the updating for each
specific data table for better supporting the manufacturing decision-making.

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Published

2013-10-01

How to Cite

J. B. Carvalho, M. L. R. Varela, J. E. Hernández, & A. M. Madureira. (2013). On Demand Data Retrieval Web Service based Framework for Manufacturing Supply Chain Integration and Management Support. Journal of Network and Innovative Computing, 1, 10. Retrieved from https://cspub-jnic.org/index.php/jnic/article/view/38

Issue

Vol. 1 (2013)

Section

Original Article

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