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.
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References
Al-Salim, B.: Mass customization of travel packages: data mining approach. International Journal Flexible Manufacturing System 19, 612–624 (2007)
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)
Bae, H.: Business Process Management. Lecture Notes in Pusan National University (2007b)
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
Frei, F.X.: The Four Things a Service Business Must Get Right. Harvard Business Review, 70–80 (April 2008)
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)
Henikoff, S., Henikoff, J.G.: Amino acid substitution matrices from protein blocks. Proc. Natl. Acad. Sci. U.S.A 89, 10915–10919 (1992)
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)
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)
Magidson, J., Brandyberry, G.: Putting Customers in the ‘Wish Mode. Harvard Business Review (September 2001)
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)
Soffer, P.: Scope Analysis: Identifying the Impact of Changes in Business Process Models. Softw. Process Improve. Pract. 10, 393–402 (2005)
Thomke, S., Hippel, E.v.: Customers as Innovators: A New Way to Create Value. Harvard Business Review (April 2002)
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)
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)
Yu, Y.W.: Improvement Plan of the Processes Similarity Comparison Criterion for Process Search. Master Thesis (2007) (in Korean)
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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
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DOI: https://doi.org/10.1007/978-3-642-12186-9_31
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