Slice and Connect: Tri-Dimensional Process Discovery with Case Study of Port Logistics Process

One problem of process discovery is the duplicated task, a task that appears multiple times in one process model. This paper presents “Slice and Connect,” an automated tri-dimensional process discovery technique considering duplicated task. It adds the notion of pool as a group of tasks that belongs...

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Bibliographic Details
Published inProcedia computer science Vol. 72; pp. 461 - 468
Main Authors Pulshashi, Iq Reviessay, Bae, Hyerim, Sutrisnowati, Riska Asriana, Yahya, Bernardo Nugroho, Park, Sanghyuck
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2015
Subjects
BPMN
multi-dimensional process model
port logistics
process discovery
process mining
BPMN
port logistics
process discovery
multi-dimensional process model
process mining
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Summary:One problem of process discovery is the duplicated task, a task that appears multiple times in one process model. This paper presents “Slice and Connect,” an automated tri-dimensional process discovery technique considering duplicated task. It adds the notion of pool as a group of tasks that belongs to a single entity (e.g. department, organization, country). The algorithm entails two steps: first, the event log is sliced according to the pool attribute, and then the pool dependency network (PDN) is discovered. Second, the inter-pool dependency is calculated to connect the PDNs, the result of which is a process model represented as an integrated dependency network (IDN). Duplicated task is only allowed within a different pool to clearly separate the activity context in IDN. The complexity of the process model thereby is increased; therefore, the comprehensibility of the process model is also increased.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2015.12.127