Location-based Automated Process Modelling

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

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

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Abstract

Services are today over 70% of the Gross National Product in most developed countries. Hence, the productivity improvement of services is an important area. How to collect data from services has been a problem and service data is largely missing in national statistics. This work presents an approach to collect service process data based on wireless indoor positioning using inexpensive wireless sensors and smart phones. This work also presents how the collected data can be used to extract automatically the process model. These models can further be used to analyse the improvements of the service processes. The presented approach comprises a light-weight process data acquisition system, which collects a minimised but precise data sets for automated process modelling. This automated modelling can be used to greatly improve the traditional process modelling in various service industries, for example, in the healthcare field. The presented approach has been tested and used in Tampere City dental care clinics.
Original languageEnglish
Title of host publicationProceedings of the 6th International Symposium on Data-driven Process Discovery and Analysis
Subtitle of host publicationCEUR workshop proceedings
PublisherRWTH Aachen University
Pages23-34
Number of pages11
Publication statusPublished - 15 Dec 2016
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

NameCEUR workshop proceedings
PublisherCEUR
Number1757
ISSN (Electronic)1613-0073

Conference

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

Keywords

  • automated process modelling
  • location-based
  • process modelling

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