Estimation and characterization of activity duration in business processes

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

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.
Originele taal-2Engels
TitelInformation Processing and Management of Uncertainty in Knowledge-Based Systems : 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20 - 24, 2016, Proceedings, Part II
RedacteurenJ. Carvalho, M.J. Lesot, U. Kaymak, S. Vieira, B. Bouchon-Meunier, R. Yager
Plaats van productieCham
UitgeverijSpringer
Pagina's729-740
Aantal pagina's12
ISBN van elektronische versie978-3-319-40581-0
ISBN van geprinte versie978-3-319-40580-3
DOI's
StatusGepubliceerd - 2016
Evenement16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2016) - Eindhoven University of Technology , Eindhoven, Nederland
Duur: 20 jun 201624 jun 2016
Congresnummer: 16
http://is.ieis.tue.nl/ipmu/

Publicatie series

NaamCommunications in Computer and Information Science (CCIS)
Volume611

Congres

Congres16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2016)
Verkorte titelIPMU 2016
LandNederland
StadEindhoven
Periode20/06/1624/06/16
Internet adres

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