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MC-DMN: Meeting MCDM with DMN Involving Multi-criteria Decision-Making in Business Process

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Computational Science and Its Applications – ICCSA 2017 (ICCSA 2017)

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Abstract

The modelling of business processes and in particular decision-making in these processes takes an important place in the quality and reliability of IT solutions. In order to define a modelling standards in this domain, the Open Management Group (OMG) has developed the Business Process Model and Notation (BPMN) and Decision Model and Notation (DMN). Currently, these two standards are a pillar of several business architecture Frameworks to support Business-IT alignment and minimize the gap between the managers expectations and delivered technical solution. In this paper, we propose the Multi-Criteria DMN (MC-DMN) which is a DMN enrichment. It allows covering the preference to criteria in decision-making using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) as a Multi-Criteria Decision-Making (MCDM) method and therefore it gives more faithfulness to the real world and further agility face the business layer changes.

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References

  1. Harmon, P.: Business Process Change: A Guide for Business Managers and BPM and Six Sigma Professionals, 2nd edn. Morgan Kaufmann Publishers, Burlington (2007). ISBN 978-0-12-374152-3

    Google Scholar 

  2. Brian, E., Dima, P., Sven, J., Christian, H.: Aligning business and IT models in service-oriented architectures using BPMN and SoaML. In: Proceedings of the First International Workshop on Model-Driven Interoperability, Oslo, Norway, pp. 61–68. ACM, October 2010. doi:10.1145/1866272.1866281

  3. OMG: Business Process Modeling Notation Specification 2.0 (2011). http://www.omg.org/spec/BPMN/2.0/PDF/

  4. Nazaruka, E., Oviikova, V.: Specification of decision-making and control flow branching in topological functioning models of systems. In: Proceedings of the 10th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE, Barcelona, Spain, 29–30 April 2015, pp. 364–373 (2015)

    Google Scholar 

  5. Nie, H., Lu, X., Duan, H.: Supporting BPMN choreography with system integration artefacts for enterprise process collaboration. Enterp. Inf. Syst. 8(4), 512–529 (2014)

    Article  Google Scholar 

  6. Nguyen, B.T., Nguyen, D.H., Nguyen, T.T.: Translation from BPMN to BPEL, current techniques and limitations. In: SoICT 2014, pp. 21–30 (2014)

    Google Scholar 

  7. OMG: Decision Model and Notation 1.0 (2015). http://www.omg.org/spec/DMN/1.0/PDF

  8. Taylor, J., Fish, A., Vincent, P.: Emerging Standards in Decision Modeling - An Introduction to Decision Model & Notation in iBPMS Intelligent BPM Systems: Impact and Opportunity. Future Strategies Inc., Brampton (2013). ISBN 978-0-9849764-6-1

    Google Scholar 

  9. Batoulis, K., Meyer, A., Bazhenova, E., Decker, G., Weske, M.: Extracting decision logic from process models. In: Zdravkovic, J., Kirikova, M., Johannesson, P. (eds.) CAiSE 2015. LNCS, vol. 9097, pp. 349–366. Springer, Cham (2015). doi:10.1007/978-3-319-19069-3_22

    Chapter  Google Scholar 

  10. Le Mauff, A., Bigand, M., Bourey, J.-P.: Separation of decision modeling from BPM using DMN for automating operational decision making. In: PRO-VE 2015 IFIP Working Conference on Virtual Enterprises, 05 October 2015

    Google Scholar 

  11. Batoulis, K., Baumgraß, A., Herzberg, N., Weske, M.: Enabling dynamic decision making in business processes with DMN. In: Reichert, M., Reijers, H.A. (eds.) BPM 2015. LNBIP, vol. 256, pp. 418–431. Springer, Cham (2016). doi:10.1007/978-3-319-42887-1_34

    Chapter  Google Scholar 

  12. Biard, T., Mauff, A., Bigand, M., Bourey, J.-P.: Separation of decision modeling from business process modeling using new decision model and notation (DMN) for automating operational decision-making. In: Camarinha-Matos, L.M., Bénaben, F., Picard, W. (eds.) PRO-VE 2015. IAICT, vol. 463, pp. 489–496. Springer, Cham (2015). doi:10.1007/978-3-319-24141-8_45

    Chapter  Google Scholar 

  13. Kluza, K., Nalepa, G.J.: Towards rule-oriented business process model generation. In: Proceedings of the Federated Conference on Computer Science and Information Systems, FedCSIS, Krakw, Poland, 8–11 September 2013, pp. 939–946 (2013)

    Google Scholar 

  14. Bajwa, I.S., Lee, M.G., Bordbar, B.: SBVR business rules generation from natural language specification. In: Artificial Intelligence for Business Agility - AAAI Spring Symposium Series, (SS-11-03), pp. 2–8 (2011)

    Google Scholar 

  15. Benson, T., Grieve, G.: UML, BPMN, XML and JSON. In: Benson, T., Grieve, G. (eds.) Principles of Health Interoperability. Health Information Technology Standards, pp. 55–81. Springer, Heidelberg (2016). doi:10.1007/978-3-319-30370-3_4

    Google Scholar 

  16. Ouyang, C., Dumas, M., ter Hofstede, A., van der Aalst, W.: From BPMN process models to BPEL web services. In: ICWS, Los Alamitos, pp. 285–292. IEEE, New York (2006)

    Google Scholar 

  17. Camunda Workflow and Business Process Management. https://camunda.org/

  18. Signavio Decision Manager. http://www.signavio.com/products/decision-manager/

  19. Decision Management Solutions: DecisionsFirst Modeler. http://decisionsfirst.com/

  20. The Digital Enterprise Suite. http://www.trisotech.com/

  21. Janssens, L., Smedt, J., Vanthienen, J.: Modeling and enacting enterprise decisions. In: Krogstie, J., Mouratidis, H., Su, J. (eds.) CAiSE 2016. LNBIP, vol. 249, pp. 169–180. Springer, Cham (2016). doi:10.1007/978-3-319-39564-7_17

    Google Scholar 

  22. Zardari, N.H., Ahmed, K., Shirazi, S.M., Yusop, Z.B.: Weighting Methods and their Effects on Multi-Criteria Decision Making Model Outcomes in Water Resources Management. SWST. Springer, Cham (2015). doi:10.1007/978-3-319-12586-2. ISBN 978-3-319-12585-5 (Print) 978-3-319-12586-2 (Online)

    Book  Google Scholar 

  23. Behzadian, M., Otaghsara, S.K., Yazdani, M., Ignatius, J.: A state-of the-art survey of TOPSIS applications. Expert Syst. Appl. 39(17), 13051–13069 (2012). doi:10.1016/j.eswa.2012.05.056

    Article  Google Scholar 

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Authors and Affiliations

  1. Université de Tunis, ISG, LR11ES03 SMART, 2000, Cit Bouchoucha Le Bardo, Tunis, Tunisia

    Riadh Ghlala, Zahra Kodia Aouina & Lamjed Ben Said

  2. Institut Supérieur des études Technologiques de Radès (ISETR), Radès, Tunisia

    Riadh Ghlala

  3. Institut Supérieur de Gestion (ISG), Tunis, Tunisia

    Zahra Kodia Aouina & Lamjed Ben Said

Authors
  1. Riadh Ghlala
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  2. Zahra Kodia Aouina
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  3. Lamjed Ben Said
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Corresponding author

Correspondence to Riadh Ghlala .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Trieste, Trieste, Italy

    Giuseppe Borruso

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  9. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  10. University of Trieste, Trieste, Italy

    Alfredo Cuzzocrea

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Ghlala, R., Kodia Aouina, Z., Ben Said, L. (2017). MC-DMN: Meeting MCDM with DMN Involving Multi-criteria Decision-Making in Business Process. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10409. Springer, Cham. https://doi.org/10.1007/978-3-319-62407-5_1

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  • DOI: https://doi.org/10.1007/978-3-319-62407-5_1

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  • Online ISBN: 978-3-319-62407-5

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