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Optimizing Resource Utilization by Combining Running Business Process Instances

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Service-Oriented Computing - ICSOC 2014 Workshops

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8954))

Abstract

Efficient business processes are a critical success factor for organizations in a competitive market environment. One of the key potentials to increase efficiency of business processes is the optimization of resource utilization. The contribution of this paper is a novel approach for combining activities across running process instances to optimize resource utilization; i.e., resources are shared across different process instances. The main benefits of the suggested approach are the identification, disclosure, and application of optimization potentials.

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References

  1. Browne, E.D., Schrefl, M., Warren, J.R.: Activity crediting in distributed workflow environments. In: ICEIS (3), pp. 245–253 (2004)

    Google Scholar 

  2. Chow, H.K., Choy, K.L., Lee, W.B.: A dynamic logistics process knowledge-based system - an RFID multi-agent approach. Know.-Based Syst. 20(4), 357–372 (2007)

    Article  Google Scholar 

  3. Cruz, C., González, J., Pelta, D.: Optimization in dynamic environments: a survey on problems, methods and measures. Soft Comput. 15(7), 1427–1448 (2011)

    Article  Google Scholar 

  4. Deb, K.: Multi-objective optimization. In: Burke, E.K., Kendall, G. (eds.) Search Methodologies, pp. 403–449. Springer, US (2014)

    Chapter  Google Scholar 

  5. Grigori, D., Casati, F., Castellanos, M., Dayal, U., Sayal, M., Shan, M.C.: Business process intelligence. Comput. Ind. 53(3), 321–343 (2004)

    Article  Google Scholar 

  6. Hartmann, S., Briskorn, D.: A survey of variants and extensions of the resource-constrained project scheduling problem. EJOR 207(1), 1–14 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  7. Leopold, H., Niepert, M., Weidlich, M., Mendling, J., Dijkman, R., Stuckenschmidt, H.: Probabilistic optimization of semantic process model matching. In: Barros, A., Gal, A., Kindler, E. (eds.) BPM 2012. LNCS, vol. 7481, pp. 319–334. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  8. Pufahl, L., Weske, M.: Batch activities in process modeling and execution. In: Basu, S., Pautasso, C., Zhang, L., Fu, X. (eds.) ICSOC 2013. LNCS, vol. 8274, pp. 283–297. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  9. Reichert, M., Rinderle, S., Dadam, P.: ADEPT workflow management system. In: van der Aalst, W.M.P., ter Hofstede, A.H.M., Weske, M. (eds.) BPM 2003. LNCS, vol. 2678, pp. 370–379. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  10. Wang, Y., Caron, F., Vanthienen, J., Huang, L., Guo, Y.: Acquiring logistics process intelligence: methodology and an application for a chinese bulk port. Expert Syst. Appl. 44, 195–209 (2014)

    Article  Google Scholar 

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Acknowledgements

This publication has been written within the project Vertical Model Integration (VMI) 4.0. The VMI 4.0 project is supported within the program “Regionale Wettbewerbsfähigkeit OÖ 2007-2013” by the European Fund for Regional Development as well as the State of Upper Austria. This work was also supported in part by the AdaBPM project, which is funded by the Austrian Research Promotion Agency (FFG) under the project number 842437.

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Correspondence to Christine Natschläger .

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Natschläger, C., Bögl, A., Geist, V. (2015). Optimizing Resource Utilization by Combining Running Business Process Instances. In: Toumani, F., et al. Service-Oriented Computing - ICSOC 2014 Workshops. Lecture Notes in Computer Science(), vol 8954. Springer, Cham. https://doi.org/10.1007/978-3-319-22885-3_11

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  • DOI: https://doi.org/10.1007/978-3-319-22885-3_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22884-6

  • Online ISBN: 978-3-319-22885-3

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