Year: 2016
Type: article
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.
Source: Aaltodoc (Aalto University)
Authors: Ye Zhang, Olli Martikainen, Riku Saikkonen, Eljas Soisalon-Soininen
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: green
Funder: Aalto-Yliopisto
OpenAlex ID: W2573651124