Focusing business process lead time improvements using influence analysis

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Lehto, Teemu
dc.contributor.author Hinkka, Markku
dc.contributor.author Hollmén, Jaakko
dc.contributor.editor Ceravolo, Paolo
dc.contributor.editor Van Keulen, Maurice
dc.contributor.editor Stoffel, Kilian
dc.date.accessioned 2018-03-16T10:32:18Z
dc.date.available 2018-03-16T10:32:18Z
dc.date.issued 2017
dc.identifier.citation Lehto , T , Hinkka , M & Hollmén , J 2017 , Focusing business process lead time improvements using influence analysis . in P Ceravolo , M Van Keulen & K Stoffel (eds) , Data-driven Process Discovery and Analysis : Proceedings of the 7th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2017), Neuchatel, Switzerland, December 6-8, 2017 . CEUR Workshop Proceedings , vol. 2016 , CEUR , CEUR Workshop Proceedings , pp. 54-67 , International Symposium on Data-Driven Process Discovery and Analysis , Neuchatel , Switzerland , 06/12/2017 . en
dc.identifier.issn 1613-0073
dc.identifier.other PURE UUID: 604078ab-8344-4c18-9cfd-e19c9c76b003
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/focusing-business-process-lead-time-improvements-using-influence-analysis(604078ab-8344-4c18-9cfd-e19c9c76b003).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85040521353&partnerID=8YFLogxK
dc.identifier.other PURE LINK: http://ceur-ws.org/Vol-2016/
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/17380446/paper5_1.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/30269
dc.description.abstract Shortening lead times in a business process is important for meetings service level agreements, decreasing inventories and working capital, keeping customers satisfied and in short: staying in business. Process mining methods make it possible to generate a large amount of transaction event data and case attributes that are useful for analysing lead times. However, finding root causes for long lead times is not so straightforward with current process mining methods. In this paper we extend our prevously presented influence analysis methodology by providing alternative treatment for continuous target variables like lead times and making it possible to give weights for each process case. We extend our contribution measure by presenting the definitions for binary/continuous as well as weighted/non-weighted needs. Using a publicly available real-life case study from Rabobank’s service desk process we demonstrate the effect of using either continuous or binary approach combined with possible weighting. en
dc.format.extent 14
dc.format.extent 54-67
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Rheinisch-Westfaelische Technische Hochschule Aachen
dc.relation.ispartof International Symposium on Data-Driven Process Discovery and Analysis en
dc.relation.ispartofseries Data-driven Process Discovery and Analysis en
dc.relation.ispartofseries CEUR Workshop Proceedings en
dc.relation.ispartofseries Volume 2016 en
dc.rights openAccess en
dc.subject.other Computer Science(all) en
dc.subject.other 113 Computer and information sciences en
dc.title Focusing business process lead time improvements using influence analysis en
dc.type A4 Artikkeli konferenssijulkaisussa fi
dc.description.version Peer reviewed en
dc.contributor.department School services, SCI
dc.contributor.department Department of Computer Science
dc.subject.keyword Contribution
dc.subject.keyword Data mining
dc.subject.keyword Influence analysis
dc.subject.keyword Lead times
dc.subject.keyword Process analysis
dc.subject.keyword Process improvement
dc.subject.keyword Process mining
dc.subject.keyword Root cause analysis
dc.subject.keyword Working capital
dc.subject.keyword Computer Science(all)
dc.subject.keyword 113 Computer and information sciences
dc.identifier.urn URN:NBN:fi:aalto-201803161739
dc.type.version publishedVersion


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