Skip to main content

Process Design Selection Using Proximity Score Measurement

  • Conference paper

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 43))

Abstract

Recently, business environments have become exceedingly dynamic and competitive. In this situation, many enterprises strive to attract customers by constructing multiple business process (BP) variants. Variances within a single process model are created by a process designer to comply with customers’ needs. However, customers are rarely involved in the design phase. In the near future, a customer-centric system will request more flexibility in design customization. The advantages from the establishment of a user analysis tool will be necessary to any organization. This paper presents an analysis technique for measuring the proximity among processes. The proposed proximity score follows the concept of workflow mining in observing the closeness of the relationships among all activities within process variants. The method enables a process modeler to generate a proximity score directly once a user starts to design. A higher proximity score for a new process design emphasizes a closer relationship with the existing activities among process variants. A simple case study is presented to demonstrate the idea of proximity score in the BP design environment.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Al-Salim, B.: Mass customization of travel packages: data mining approach. International Journal Flexible Manufacturing System 19, 612–624 (2007)

    Article  Google Scholar 

  • Bae, J., Liu, L., Caverlee, J., Zhang, L.J., Bae, H.: Development of Distance Measures for Process Mining, Discovery and Integration. International Journal of Web Services Research 4(4) (2007a)

    Google Scholar 

  • Bae, H.: Business Process Management. Lecture Notes in Pusan National University (2007b)

    Google Scholar 

  • Dayhoff, M.O., Schwartz, R.M., Orcutt, B.: A model of evolutionary change in proteins. Atlas of Protein Sequence and Structure 5(suppl.), 345–352 (1978); National Biomedical Research Foundation, Silver Spring, MD

    Google Scholar 

  • Frei, F.X.: The Four Things a Service Business Must Get Right. Harvard Business Review, 70–80 (April 2008)

    Google Scholar 

  • Hallerbach, A., Bauer, T., Reichert, M.: Context-based Configuration of Process Variants. In: 3rd International Workshop on Technologies for Context-Aware Business Process Management (TCoB 2008), Barcelona, Spain (June 2008)

    Google Scholar 

  • Henikoff, S., Henikoff, J.G.: Amino acid substitution matrices from protein blocks. Proc. Natl. Acad. Sci. U.S.A 89, 10915–10919 (1992)

    Article  Google Scholar 

  • Jung, J.Y., Bae, J.: Workflow Clustering Method based on Process Similarity. In: Gavrilova, M.L., Gervasi, O., Kumar, V., Tan, C.J.K., Taniar, D., Laganá, A., Mun, Y., Choo, H. (eds.) ICCSA 2006. LNCS, vol. 3981, pp. 379–389. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  • Li, C., Reichert, M.U., Wombacher, A.: Issues in Process Variants Mining. Technical Report TR-CTIT-08-10, Centre for Telematics and Information Technology, University of Twente, Enschede (2008)

    Google Scholar 

  • Magidson, J., Brandyberry, G.: Putting Customers in the ‘Wish Mode. Harvard Business Review (September 2001)

    Google Scholar 

  • Moon, S.K., Simpson, T.W., Kumara, S.R.T.: A methodology for knowledge discovery to support product family design. Annals of Operation Research (2008)

    Google Scholar 

  • Soffer, P.: Scope Analysis: Identifying the Impact of Changes in Business Process Models. Softw. Process Improve. Pract. 10, 393–402 (2005)

    Article  Google Scholar 

  • Thomke, S., Hippel, E.v.: Customers as Innovators: A New Way to Create Value. Harvard Business Review (April 2002)

    Google Scholar 

  • Van der Aalst, W.M.P., Weijters, T., Maruster, L.: Workflow Mining: Discovering Process Models from Event Logs. IEEE Transactions on Knowledge and Data Engineering 16(9) (September 2004)

    Google Scholar 

  • Weijters, A.J.M.M., van der Aalst, W.M.P.: Process Mining Discovering Workflow Models from Event-Based Data. In: Proc. 13th Belgium-Netherlands Conference Artificial Intelligence, BNAIC 2001 (2001)

    Google Scholar 

  • Yu, Y.W.: Improvement Plan of the Processes Similarity Comparison Criterion for Process Search. Master Thesis (2007) (in Korean)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yahya, B.N., Bae, H., Bae, J. (2010). Process Design Selection Using Proximity Score Measurement. In: Rinderle-Ma, S., Sadiq, S., Leymann, F. (eds) Business Process Management Workshops. BPM 2009. Lecture Notes in Business Information Processing, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12186-9_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-12186-9_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12185-2

  • Online ISBN: 978-3-642-12186-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics