Estimation and characterization of activity duration in business processes

R.M.T. Gonçalves, R.J. Almeida, J. Sousa, R.M. Dijkman

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

Abstract

Process-aware information systems are typically used to log events in a variety of domains (e.g. commercial, logistics, healthcare) de- scribing the execution of business processes. The analysis of such logs can provide meaningful knowledge for organizations to improve the quality of their services as well as their efficiency. The prediction of activity du- rations, based on historic data from execution logs, allows the creation of feasible plans for business processes. However, a problem arises when there are discrepancies between execution logs and the actual execution. When event logs are partially human-generated there is an underlying uncertainty related to the time at which events (recorded by means of user interaction) are logged. If not taken into account, this uncertainty can lead to wrong predictions of activity durations. In this paper, we focus on creating assumptions to estimate activity durations and anal- yse their impact in the stochastic characterization. A partially human- generated logistics database is used as example.
Original languageEnglish
Title of host publicationInformation Processing and Management of Uncertainty in Knowledge-Based Systems : 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20 - 24, 2016, Proceedings, Part II
EditorsJ. Carvalho, M.J. Lesot, U. Kaymak, S. Vieira, B. Bouchon-Meunier, R. Yager
Place of PublicationCham
PublisherSpringer
Pages729-740
Number of pages12
ISBN (Electronic)978-3-319-40581-0
ISBN (Print)978-3-319-40580-3
DOIs
Publication statusPublished - 2016
Event16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2016) - Eindhoven University of Technology , Eindhoven, Netherlands
Duration: 20 Jun 201624 Jun 2016
Conference number: 16
http://is.ieis.tue.nl/ipmu/

Publication series

NameCommunications in Computer and Information Science (CCIS)
Volume611

Conference

Conference16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2016)
Abbreviated titleIPMU 2016
CountryNetherlands
CityEindhoven
Period20/06/1624/06/16
Internet address

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