Extracting service process models from location data

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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 languageEnglish
Title of host publicationData-Driven Process Discovery and Analysis - 6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Revised Selected Papers
Pages78-96
Number of pages19
Volume307
DOIs
Publication statusPublished - 2018
MoE publication typeA4 Article in a conference publication
EventInternational Symposium on Data-Driven Process Discovery and Analysis - Graz, Austria
Duration: 15 Dec 201616 Dec 2016
Conference number: 6

Publication series

NameLecture Notes in Business Information Processing
Volume307
ISSN (Print)1865-1348

Conference

ConferenceInternational Symposium on Data-Driven Process Discovery and Analysis
Abbreviated titleSIMPDA
CountryAustria
CityGraz
Period15/12/201616/12/2016

Keywords

  • Automated
  • Location-based
  • Process modelling
  • Service process

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