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 | |
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