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A framework for business process modeling by QoS-based pruning

  • S.I. : ICACNI-2016
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Abstract

In this paper, we have proposed a methodology towards improved business process model redesign based on QoS. We have extended an existing framework that generates an exhaustive space of process models from a set of capability library. The solution space is pruned based on goal and constraints considered thereafter. An algebraic framework is deployed that permits integrated multi-dimensional assessments of QoS factors for choosing path from the reduced space towards derivation of an optimal business process model by comparing the QoS values on both quantitative and qualitative scales. The proposed methodology ensures that while deriving a solution, no possible superior business process model is left out. Further, the designs that do not satisfy the given constraints are eliminated. Eventually, the extended and improved framework provides a comprehensive, both syntactically and semantically correct, consistent and improved business process that adheres to the target business goals and constraints specific to a business house. A use case is used to describe our methodology.

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References

  1. Agrahari A, Mithal S, Bhat J (2010) Pattern-based process optimizer. In: U.S. Patent No. 20,100,114,632. Washington, DC: U.S. Patent and Trademark Office

  2. Alotaibi Y, Liu F (2013) Business process modelling towards derive and implement it goals. In: Industrial electronics and applications (ICIEA), IEEE, pp 1739–1744

  3. Bistarelli S, Montanari U, Rossi F (1997) Semiring-based constraint satisfaction and optimization. J ACM (JACM) 44(2):201–236

    Article  MATH  MathSciNet  Google Scholar 

  4. Constantinescu Irina FP, Cristea V (2011) Performance analysis of workflows for service oriented computing. In: International conference on emerging intelligent data and web technologies (EIDWT), IEEE, pp 186–191

  5. Deb D, Chaki N (2016) A framework for goal compliance of business process model. In: Proceedings of the 4th international conference on advanced computing, networking, and informatics, Springer

  6. Deb D, Chaki N, Aditya G (2015) Business process generation by leveraging complete search over a space of activities and process goals. In: Proceedings of the 5th International conference on cloud computing and services science (CLOSER 2015), ScitePress, pp 233–240

  7. Kiepuszewski B, ter Hofstede AHM, Bussler CJ (2000) On structured workflow modelling. Lect Notes Comput Sci 1789:431–445

    Article  Google Scholar 

  8. Kumar M, Bhat J (2011) Process improvement by simplification of policy, and procedure and alignment of organizational structure. AMCIS 2011:346–353

    Google Scholar 

  9. Lan CW, Chen RC, Su AY, Huang AF, Yang SJ, Chung JY (2009) A multiple objectives optimization approach for qos-based web services compositions. In: IEEE international conference on e-business engineering, IEEE, pp 121–128

  10. Lodhi A, Köppen V, Wind S, Saake G, Turowski K (2014) Business process modeling language for performance evaluation. In: 2014 47th Hawaii international conference on system sciences, IEEE, pp 3768–3777

  11. Mansar SL, Reijers HA, Ounnar F (2009) Development of a decision-making strategy to improve the efficiency of BPR. Expert Syst Appl 36(2):3248–3262

    Article  Google Scholar 

  12. Papazoglou MP (2008) The challenges of service evolution. In: International conference on advanced information systems engineering, Springer, pp 1–15

  13. Phalp K, Shepperd M (2000) Quantitative analysis of static models of processes. J Syst Softw 52(2):105–112

    Article  Google Scholar 

  14. Reijers HA, Hee KM (2002) Product-based design of business processes applied within the financial services. J Res Pract Inf Technol 34(2):110–122

    Google Scholar 

  15. Reijers HA, Mansar SL (2005) Best practices in business process redesign: an overview and qualitative evaluation of successful redesign heuristics. Omega 33(4):283–306

    Article  Google Scholar 

  16. Van der Aalst WM, Hirnschall A, Verbeek H (2002) An alternative way to analyze workflow graphs. In: International conference on advanced information systems engineering, Springer, pp 535–552

  17. Wu Z, Shaowen Y, Gang H, Xue G (2011) Rules oriented business process modeling. In: IEEE international conference on internet technology and applications (ITAP), pp 1–4

  18. Xue Sida BW, Chen J (2013) Lightepc: A formal approach for modeling personalized lightweight event-driven business process. In: IEEE international conference on services computing (SCC 2013), IEEE, pp 1–8

  19. Yu T, Lin KJ (2005) A broker-based framework for qos-aware web service composition. In: 2005 IEEE international conference on e-technology, e-commerce and e-service, IEEE, pp 22–29

  20. Zakarian A (2001) Analysis of process models: a fuzzy logic approach. Int J Adv Manuf Technol 17(6):444–452

    Article  Google Scholar 

  21. Zhang Y, Perry DE (2014) A goal-directed modeling technique towards business process. In: IEEE 8th international symposium on service oriented system engineering (SOSE), IEEE, pp 110–121

  22. Zhou Y, Chen Y (2003) The methodology for business process optimized design. In: The 29th annual conference of the IEEE industrial electronics society, 2003. IECON’03, vol. 2, IEEE, pp 1819–1824

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Authors and Affiliations

  1. Department of Computer Science and Engineering, University of Calcutta, Kolkata, India

    Dipankar Deb & Nabendu Chaki

  2. Decision Systems Lab, School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, 2522, Australia

    Aditya Ghose

  3. Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Krakow, Poland

    Nabendu Chaki

Authors
  1. Dipankar Deb
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  2. Aditya Ghose
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  3. Nabendu Chaki
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Correspondence to Dipankar Deb.

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Deb, D., Ghose, A. & Chaki, N. A framework for business process modeling by QoS-based pruning. Innovations Syst Softw Eng 13, 271–278 (2017). https://doi.org/10.1007/s11334-017-0293-2

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  • DOI: https://doi.org/10.1007/s11334-017-0293-2

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