Waste Identification from Event Logs
Date
2021
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Tartu Ülikool
Abstract
Organizations execute a variety of business processes to meet their business objectives.
Therefore, they seek to constantly improve such processes. One way to improve the
efficiency of processes is to identify and eliminate wastes in a process. Analysts use different
process mining software to discover and analyze business processes. Event logs,
i.e., data captured from the execution of business processes, are used to discover and
analyze processes to identify wastes. To identify wastes from event logs, analysts need
to know exactly what to look for. However, wastes are manifested in business processes
in different ways. Therefore, manifestations of wastes that the analyst is unfamiliar
with, remain hidden. This thesis aims at identifying the manifestations of wastes in
business processes and how to detect them from event logs. To this end, 187 relevant
papers were identified and subjected to content analysis. From these, manifestations of
8 wastes in business processes were elicited. Following this, a framework for how to
detect such wastes from business process event logs was derived. Thus, the contribution
of the thesis is a framework for identifying wastes from event logs.
Description
Keywords
Waste, Process mining, Event logs, Waste identification, Waste detection, Business process