Abstract
The paper gains is to present a proposed attempt (Business Process Optimization Methodology) to select proper analysis, planning and optimization methods for resource management in the domain-information systems, and, being in the development phase, Business Process Optimization Platform (BPOP), which is an implementation of the proposed Business Process Optimization Methodology (BPOM) logic. The paper addresses an innovative and unique functionality of the introduced solution, including automatic planning, adaptation and optimization of the logical architecture of the domain information systems, the use of reusable software components (services) as well as resulting from the adopted attempt availability to obtain quickly the first results of the analysis and optimization of domain-specific processes.
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References
Marouane K., Houari S., Mounir B.: Model Transformation as an Optimization Problem. MoDELS 2008, LNCS 5301, 159–173, (2008)
Lin Y.: A Model Transformation Approach To Automated Model Evolution. The University of Alabama at Birmingham (2007).
Mens T., Van Gorp P.: A Taxonomy of Model Transformation. Electronic Notes in Theoretical Computer Science 152, 125–142 (2006)
Tisi M., Jouault F., Fraternali P. Ceri S., Bezivin J.: On the Use of Higher-Order Model Transformations. Proceedings of the 5th European Conference on Model Driven Architecture - Foundations and Applications, 18–33 (2009)
Ceder A.: Public-transport vehicle scheduling with multi vehicle type, Transportation Research Part C: Emerging Technologies, 19, 485-497 (2011)
Khisty, C.J., Lall, B.K.: Transportation Engineering: An Introduction. Prentice Hall (2003)
Mens T., Van Gorp P.: A Taxonomy of Model Transformation. Electronic Notes in Theoretical Computer Science 152, 125–142 (2006)
Rudek, A., Rudek, R.: A note on optimization in deteriorating systems using scheduling problems with the aging effect and resource allocation models, Computers & Mathematics with Applications, 62, 1870–1878 (2011).
Zäpfel G., Bögl M., Multi-period vehicle routing and crew scheduling with outsourcing options. International Journal of Production Economics, 113, 980–996 (2008)
Agarwal, V., et. al.: Synthy: A system for end to end composition of web services, World Wide Web Conference 3(4), pp. 311-339 (2005).
Ponnekanti, S. R., Fox, A.: SWORD: A developer toolkit for Web service composition, 11th World Wide Web Conference, pp. 97-103 (2002).
Hackmann, G., Gill, C., Roman, G.: Extending BPEL for interoperable pervasive computing. IEEE International Conference on Pervasive Services, pp. 204–213, (2007).
Swiatek P., Stelmach P., Prusiewicz A., Juszczyszyn K.: Service Composition in Knowledge-based SOA Systems. New Generation Comput. 30(2-3): 165-188 (2012).
Grzech A., Juszczyszyn K., Kołaczek G., Kwiatkowski J., Sobecki J., Świątek P., Wasilewski A., Specifications and Deployment of SOA Business Applications within a Configurable Framework Provided as a Service, Studies in Computational Intelligence, 2013, Springer, pp. 7 – 71.
XuboFei, Shiyong Lu: A Dataflow-Based Scientific Workflow Composition Framework. IEEE T. Services Computing 5(1): 45-58 (2012).
Diamantini C., Potena D., Storti E., Ontology-Driven KDD Process Composition, Advances in Intelligent Data Analysis VIII, Lecture Notes in Computer Science Volume 5772, 2009, pp 285-296.
Oliveira, D., et.al., Ontology-based Semi-automatic Workflow Composition, 2012, JIDM 3(1): pp.61-72.
Acknowledgments
The research presented in this paper was partially supported by the European Union within the European Regional Development Fund program no. POIG.01.03.01-02-079/12.
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Grzech, A., Juszczyszyn, K., Świątek, P. (2015). Methodology and Platform for Business Process Optimization. In: Selvaraj, H., Zydek, D., Chmaj, G. (eds) Progress in Systems Engineering. Advances in Intelligent Systems and Computing, vol 366. Springer, Cham. https://doi.org/10.1007/978-3-319-08422-0_56
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DOI: https://doi.org/10.1007/978-3-319-08422-0_56
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