0000000000074018
AUTHOR
Luminita Duta
showing 4 related works from this author
Web engineering and multi-criterion analisys of modeling languages used in production systems
2010
Abstract Economic globalization and strong, unprecedented, industrial competition, the overwhelming influence of information and communication technology, the Internet and its most important service, i.e. the World Wide Web have an undisputed impact upon all enterprises, exerting a strong influence on the competition system, the accelerated development of new products and services through reducing the development time of the product life cycle, as well as the improvement of upstream and downstream communication with suppliers and customers. Within this framework, taking into account the decline in worldwide economy, especially during the past few years, this paper aims to proposing a new so…
Integrating DSS in public transportation monitoring systems
2010
Abstract Decision Support Systems (DSS) ensure the computer-based support for the conscientious decision-making in solving problems that require a large amount of information processing and complex scenarios. DSS for Transportation (DSST) are intelligent systems that are used at operational and organizational management levels. Operating a DSST in a public transportation web-based monitoring system is presented in this paper.
Web technologies and multi-criterion analysis used in enterprise integration
2011
The studies, research and solutions presented below started from the acute need of small and medium-sized enterprises to integrate their processes, services and relationships with customers and suppliers, in a cost-effective manner, given the fact that ERP systems are quite expensive for such organizations.
Genetic Algorithms: A Decision Tool in Industrial Disassembly
2008
In the recycling process of the Waste Electrical and Electronic Equipment (WEEE) the disassembly process has a central role. Disassembly is not the reverse of the assembly process, real difficulties occur in the tasks assignment process of the disassembly operations. Since this is a multi objective optimization problem, we prove that genetic algorithms provide a useful multi-criteria decision tool in the industrial disassembly process.