Leveraging Dynamicity and Process Mining in Ad-Hoc Business Process

Author(s):  
Zineb Lamghari ◽  
Rajaa Saidi ◽  
Maryam Radgui ◽  
Moulay Driss Rahmani
2018 ◽  
Vol 8 (2) ◽  
pp. 217-231 ◽  
Author(s):  
Wasana Bandara ◽  
Scott Bailey ◽  
Paul Mathiesen ◽  
Jo McCarthy ◽  
Chris Jones

Business process management (BPM) in the public sector is proliferating globally, but has its contextual challenges. Ad hoc process improvement initiatives across governmental departments are not uncommon. However, as for all organisations, BPM efforts that are coordinated across the organisation will reap better outcomes than those conducted in isolation. BPM education plays a vital role in supporting such organisation-wide BPM efforts. This teaching case is focused on the sustainable development and progression of enterprise business process management (E-BPM) capabilities at the Federal Department of Human Services: a large Australian federal government agency. The detailed case narrative vividly describes the case organisation, their prior and present BPM practices and how they have attempted BPM at an enterprise level, capturing pros and cons of the journey. A series of student activities pertaining to E-BPM practices is provided with model answers (covering key aspects of BPM governance, strategic alignment, culture, people, IT, methods, etc.). This case provides invaluable insights into E-BPM efforts in general and BPM within the public sector. It can be useful to BPM educators as a rich training resource and to BPM practitioners seeking guidance for their E-BPM efforts.


2022 ◽  
Vol 13 (2) ◽  
pp. 1-28
Author(s):  
Yan Tang ◽  
Weilong Cui ◽  
Jianwen Su

A business process (workflow) is an assembly of tasks to accomplish a business goal. Real-world workflow models often demanded to change due to new laws and policies, changes in the environment, and so on. To understand the inner workings of a business process to facilitate changes, workflow logs have the potential to enable inspecting, monitoring, diagnosing, analyzing, and improving the design of a complex workflow. Querying workflow logs, however, is still mostly an ad hoc practice by workflow managers. In this article, we focus on the problem of querying workflow log concerning both control flow and dataflow properties. We develop a query language based on “incident patterns” to allow the user to directly query workflow logs instead of having to transform such queries into database operations. We provide the formal semantics and a query evaluation algorithm of our language. By deriving an accurate cost model, we develop an optimization mechanism to accelerate query evaluation. Our experiment results demonstrate the effectiveness of the optimization and achieves up to 50× speedup over an adaption of existing evaluation method.


Author(s):  
Bruna Brandão ◽  
Flávia Santoro ◽  
Leonardo Azevedo

In business process models, elements can be scattered (repeated) within different processes, making it difficult to handle changes, analyze process for improvements, or check crosscutting impacts. These scattered elements are named as Aspects. Similar to the aspect-oriented paradigm in programming languages, in BPM, aspect handling has the goal to modularize the crosscutting concerns spread across the models. This process modularization facilitates the management of the process (reuse, maintenance and understanding). The current approaches for aspect identification are made manually; thus, resulting in the problem of subjectivity and lack of systematization. This paper proposes a method to automatically identify aspects in business process from its event logs. The method is based on mining techniques and it aims to solve the problem of the subjectivity identification made by specialists. The initial results from a preliminary evaluation showed evidences that the method identified correctly the aspects present in the process model.


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