Abstract
The aim of this paper is to present an evolution of a Scheduling Decision Support System (SDSS) incorporating the concepts of Scalable Intelligence and Adaptation. The purpose of our work is to contribute for DSS enhancement in the field of production plan and control, and via its practical exploitation pursuit better performance of production managers and consequent increase industrial systems efficiency and productivity.
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References
Wiers, V.C.S.: Human–Computer Interaction in Production Scheduling: Analysis and Design of Decision Support Systems for Production Scheduling Tasks. Ph.D. Thesis, Eindhoven University of Technology, Holland (1997)
Ramos, C.: Scalable Intelligence Decision Support Systems. In: Proc. of Conf. on Enterprise Information Systems (1999)
Almeida, A., Martins, C.: A New Approach for Decision Support in Cooperative Scheduling. In: Kommers, P., Richards, G. (eds.) Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications, Orlando FL, USA, June 2006, pp. 2656–2659. AACE, Chesapeake (2006)
Hearst, M.: Trends & Controversies: Mixed-initiative interaction. IEEE Intelligent Systems (1999)
Marinho, J., Ramos, C., Oliveira, J.: SCALINTEL: A DSS Prototype with Scalable Intelligence. In: Proceedings of ICKEDS - 1st International Conference on Knowledge Engineering and Decision Support, Porto, Portugal, pp. 353–359 (2004)
Almeida, A.: Analysis and Development of Mechanisms and Algorithms to Support Product Oriented Scheduling. Doctoral Thesis on Production Engineering, University of Minho, Portugal (2002)
Silva, E., Ramos, C.: Scalable Analysis to Decision Support for Production Scheduling. In: IASTED International Conference on Artificial Intelligence and Applications (2002)
Almeida, A., Marreiros, G.: An approach to Collaborative Scheduling through Group Decision Support. Journal of Advanced Computational Intelligence and Intelligent Informatics 10(4) (2006)
Martins, C., Faria, L., Carrapatoso, E.: Constructivist Approach for an Educational Adaptive Hypermedia Tool. In: The 8th IEEE International Conference on Advanced Learning Technologies (ICALT 2008), University of Cantabria, Santander, July 1-5,(2008)
Martins, C., Faria, L., Carrapatoso, E.: User Modeling In Adaptive Hypermedia Educational Systems. In: Educational Technology & Society, pp. 1436–4522 (2007)
Frias-Martinez, E., Magoulas, G.D., Chen, S.Y., Macredie, R.D.: Modeling Human Behavior in User-Adaptive Systems: Recent Advances Using Soft Computing Technique. Expert Systems with Applications 29(2) (2005)
Brusilovsky, P.: From adaptive hypermedia to the adaptive Web. In: Proceedings of Mensch & Computer 2003, Stuttgart, Germany, pp. 21–24 (2003)
Kobsa, A.: User Modeling: Recent Work, Prospects and Hazards. In: Adaptive User Interfaces: Principles and Practice, North Holland/Elsevier, Amsterdam (1993)
Benyon, D.: Adaptive systems: A solution to Usability Problems. Journal of User Modeling and User Adapted Interaction 3(1), 1–22 (1993)
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Almeida, A., Martins, C., Faria, L. (2010). Scalable Intelligence and Adaptation in Scheduling DSS. In: Corchado, E., Novais, P., Analide, C., Sedano, J. (eds) Soft Computing Models in Industrial and Environmental Applications, 5th International Workshop (SOCO 2010). Advances in Intelligent and Soft Computing, vol 73. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13161-5_9
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DOI: https://doi.org/10.1007/978-3-642-13161-5_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13160-8
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