Extracting service process models from location data

Ye Zhang; Olli Martikainen; Riku Saikkonen; Eljas Soisalon-Soininen

doi:10.1007/978-3-319-74161-1_5

Extracting service process models from location data

Ye Zhang^*, Olli Martikainen, Riku Saikkonen, Eljas Soisalon-Soininen

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

Abstract

Services are today over 70% of the Gross National Product in most developed countries. The productivity improvement of services is increasingly important and it relies heavily on a deep understanding of the service processes. However, how to collect data from services has been a problem and service data is largely missing in national statistics, which brings challenges to service process modelling. This work aims to simplify the procedure of automated process modelling, and focuses on modelling generic service processes that are location-aware. An approach based on wireless indoor positioning is developed to acquire the minimum amount of location-based process data that can be used to automatically extract the process models. The extracted models can be further used to analyse the possible improvements of the service processes. This approach has been tested and used in dental care clinics. Besides, the automated modelling approach can be used to greatly improve the traditional process modelling in various other service industries.

Original language	English
Title of host publication	Data-Driven Process Discovery and Analysis - 6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Revised Selected Papers
Publisher	Springer
Pages	78-96
Number of pages	19
Volume	307
ISBN (Print)	9783319741604
DOIs	https://doi.org/10.1007/978-3-319-74161-1_5
Publication status	Published - 2018
MoE publication type	A4 Conference publication
Event	International Symposium on Data-Driven Process Discovery and Analysis - Graz, Austria Duration: 15 Dec 2016 → 16 Dec 2016 Conference number: 6

Publication series

Name	Lecture Notes in Business Information Processing
Volume	307
ISSN (Print)	1865-1348

Conference

Conference	International Symposium on Data-Driven Process Discovery and Analysis
Abbreviated title	SIMPDA
Country/Territory	Austria
City	Graz
Period	15/12/2016 → 16/12/2016

Keywords

Automated
Location-based
Process modelling
Service process

Access to Document

10.1007/978-3-319-74161-1_5

Cite this

Zhang, Y., Martikainen, O., Saikkonen, R., & Soisalon-Soininen, E. (2018). Extracting service process models from location data. In Data-Driven Process Discovery and Analysis - 6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Revised Selected Papers (Vol. 307, pp. 78-96). (Lecture Notes in Business Information Processing; Vol. 307). Springer. https://doi.org/10.1007/978-3-319-74161-1_5

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Zhang, Y, Martikainen, O, Saikkonen, R & Soisalon-Soininen, E 2018, Extracting service process models from location data. in Data-Driven Process Discovery and Analysis - 6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Revised Selected Papers. vol. 307, Lecture Notes in Business Information Processing, vol. 307, Springer, pp. 78-96, International Symposium on Data-Driven Process Discovery and Analysis, Graz, Austria, 15/12/2016. https://doi.org/10.1007/978-3-319-74161-1_5

Extracting service process models from location data. / Zhang, Ye; Martikainen, Olli; Saikkonen, Riku et al.
Data-Driven Process Discovery and Analysis - 6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Revised Selected Papers. Vol. 307 Springer, 2018. p. 78-96 (Lecture Notes in Business Information Processing; Vol. 307).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Soisalon-Soininen, Eljas

N1 - Conference code: 6

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Extracting service process models from location data

Abstract

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Keywords

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