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     Research Journal of Applied Sciences, Engineering and Technology


Module-based QIS Modeling for Production Logistics in SME

1M.R. Khabbazi, 1M.K. Hasan, 2R. Sulaiman and 1A. Shapii
1Department of Industrial Computing
2Institute of Visual Informatics, FTSM, University Kebangsaan Malaysia, Bangi, Malaysia
Research Journal of Applied Sciences, Engineering and Technology  2014  1:183-190
http://dx.doi.org/10.19026/rjaset.7.238  |  © The Author(s) 2014
Received: June 11, 2012  |  Accepted: July 05, 2013  |  Published: January 01, 2014

Abstract

This study proposes an object-oriented modelling for the quality information system as a module able to be integrated with other production logistics back office systems. Using the UML modelling tools such as component and class diagrams, the model addresses the highest level quality business processes and data structure as well as all identified providing and depending interfaces and the messaging system in a module-based framework design. The methodology and adopted procedures are explained in details of which provide a better understanding of the modelling and the possibility for the lower-levels quality data extensions following the same framework. The model is able to manipulate all quality control data for purchasing, production and remedy operation in a lot-based make-to-order production system within a defined module.

Keywords:

Computer-aided systems, data modeling, production logistics, QIS, UML,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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