Automated Variant Analysis for Business Process Improvement
Name
Mir Jalal Hashimli
Abstract
The execution of business processes results in variants. While some of the variants perform better than others, the majority are not optimal. Different techniques can be used to go through the previous executed cases, identify what caused them to reach a successful conclusion given a specific metric, and recommend an action to the process worker. The thesis presents a case study in which a conceptual framework for business process variant analysis is implemented as a software solution. The result provides the most efficient process variant by comparing different impacts on the process cycle time efficiency. It is concluded that considering the best variant is the key to improving business processes.
Graduation Thesis language
English
Graduation Thesis type
Master - Software Engineering
Supervisor(s)
Fredrik Payman Milani, Katsiaryna Lashkevich, David Chapela
Defence year
2023