MEASURING THE DATA MODEL QUALITY IN THE ESUPPLY CHAINS

• Main Authors: Zora Arsovski, Dragana Rejman Petrovic, Igor Milanovic, Vladimir Rankovic, Zoran Kalinic
• Format: Article
• Language: English
• Published: Center for Quality, Faculty of Engineering, University of Kragujevac, Serbia 2012-03-01
• Series: International Journal for Quality Research
• Subjects: e-supply chain; data model; quality; measurement
• Online Access: http://www.ijqr.net/journal/v6-n1/6.pdf

The implementation of Internet technology in business has enabled the development of e-business supply chains with large-scale information integration among all partners.The development of information systems (IS) is based on the established business objectives whose achievement, among other things, directly depends on the quality of development and design of IS. In the process of analysis of the key elements of company operations in the supply chain, process model and corresponding data model are designed which should enable selection of appropriate information system architecture. The quality of the implemented information system, which supports e-supply chain, directly depends on the level of data model quality. One of the serious limitations of the data model is its complexity. With a large number of entities, data model is difficult to analyse, monitor and maintain. The problem gets bigger when looking at an integrated data model at the level of participating partners in the supply chain, where the data model usually consists of hundreds or even thousands of entities.The paper will analyse the key elements affecting the quality of data models and show their interactions and factors of significance. In addition, the paper presents various measures for assessing the quality of the data model on which it is possible to easily locate the problems and focus efforts in specific parts of a complex data model where it is not economically feasible to review every detail of the model.