scholarly journals Improving Business Process Models with Agent-Based Simulation and Process Mining

2013 ◽  
pp. 124-138 ◽  
Author(s):  
Fernando Szimanski ◽  
Célia G. Ralha ◽  
Gerd Wagner ◽  
Diogo R. Ferreira
Keyword(s):  
Business Process ◽  
Process Mining ◽  
Process Models ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Business Process Models

scholarly journals Towards Aspects Identification in Business Process Through Process Mining

2015 ◽  
Author(s):  
Bruna Brandão ◽  
Flávia Santoro ◽  
Leonardo Azevedo
Keyword(s):  
Programming Languages ◽  
Business Process ◽  
Process Model ◽  
Process Mining ◽  
Process Models ◽  
Preliminary Evaluation ◽  
Crosscutting Concerns ◽  
Business Process Models ◽  
Event Logs ◽  
Initial Results

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.

Recovery and Refinement of Business Process Models for Web Applications

2018 ◽  
pp. 248-291
Author(s):  
Alessandro Marchetto ◽  
Chiara Di Francescomarino
Keyword(s):  
Business Process ◽  
Process Model ◽  
Business Processes ◽  
Web Applications ◽  
Process Mining ◽  
Relevant Information ◽  
Process Models ◽  
Model Complexity ◽  
Model Refinement ◽  
Business Process Models

Web Applications (WAs) have been often used to expose business processes to the users. WA modernization and evolution are complex and time-consuming activities that can be supported by software documentation (e.g., process models). When, as often happens, documentation is missing or is incomplete, documentation recovery and mining represent an important opportunity for reconstructing or completing it. Existing process-mining approaches, however, tend to recover models that are quite complex, rich, and intricate, thus difficult to understand and use for analysts and developers. Model refinement approaches have been presented in the literature to reduce the model complexity and intricateness while preserving the capability of representing the relevant information. In this chapter, the authors summarize approaches to mine first and refine later business process models from existing WAs. In particular, they present two process model refinement approaches: (1) re-modularization and (2) reduction. The authors introduce the techniques and show how to apply them to WAs.

Mining business rules from business process model repositories

2015 ◽  
Vol 21 (4) ◽  
pp. 820-836 ◽  
Author(s):  
Jantima Polpinij ◽  
Aditya Ghose ◽  
Hoa Khanh Dam
Keyword(s):  
Business Process ◽  
Process Model ◽  
Process Mining ◽  
Process Models ◽  
Sequential Patterns ◽  
Business Rules ◽  
Data Set ◽  
Content Type ◽  
Market Growth ◽  
Business Process Models

Purpose – Business process has become the core assets of many organizations and it becomes increasing common for most medium to large organizations to have collections of hundreds or even thousands of business process models. The purpose of this paper is to explore an alternative dimension to process mining in which the objective is to extract process constraints (or business rules) as opposed to business process models. It also focusses on an alternative data set – process models as opposed to process instances (i.e. event logs). Design/methodology/approach – The authors present a new method of knowledge discovery to find business activity sequential patterns embedded in process model repositories. The extracted sequential patterns are considered as business rules. Findings – The authors find significant knowledge hidden in business processes model repositories. The hidden knowledge is considered as business rules. The business rules extracted from process models are significant and valid sequential correlations among business activities belonging to a particular organization. Such business rules represent business constraints that have been encoded in business process models. Experimental results have indicated the effectiveness and accuracy of the approach in extracting business rules from repositories of business process models. Social implications – This research will assist organizations to extract business rules from their existing business process models. The discovered business rules are very important for any organization, where rules can be used to help organizations better achieve goals, remove obstacles to market growth, reduce costly mistakes, improve communication, comply with legal requirements, and increase customer loyalty. Originality/value – There has very been little work in mining business process models as opposed to an increasing number of very large collections of business process models. This work has filled this gap with the focus on extracting business rules.

Recovery and Refinement of Business Process Models for Web Applications

2013 ◽  
pp. 134-175
Author(s):  
Alessandro Marchetto ◽  
Chiara Di Francescomarino
Keyword(s):  
Business Process ◽  
Process Model ◽  
Business Processes ◽  
Web Applications ◽  
Process Mining ◽  
Relevant Information ◽  
Process Models ◽  
Model Complexity ◽  
Model Refinement ◽  
Business Process Models

Web Applications (WAs) have been often used to expose business processes to the users. WA modernization and evolution are complex and time-consuming activities that can be supported by software documentation (e.g., process models). When, as often happens, documentation is missing or is incomplete, documentation recovery and mining represent an important opportunity for reconstructing or completing it. Existing process-mining approaches, however, tend to recover models that are quite complex, rich, and intricate, thus difficult to understand and use for analysts and developers. Model refinement approaches have been presented in the literature to reduce the model complexity and intricateness while preserving the capability of representing the relevant information. In this chapter, the authors summarize approaches to mine first and refine later business process models from existing WAs. In particular, they present two process model refinement approaches: (1) re-modularization and (2) reduction. The authors introduce the techniques and show how to apply them to WAs.

scholarly journals Evaluation and Lessons Learned from a Campus as a Living Lab Program to Promote Sustainable Practices

2021 ◽  
Vol 13 (4) ◽  
pp. 1739
Author(s):  
Paul Save ◽  
Belgin Terim Cavka ◽  
Thomas Froese
Keyword(s):  
Learning Curve ◽  
Business Process ◽  
Lessons Learned ◽  
Process Models ◽  
Sustainable Practices ◽  
Business Process Models ◽  
District Energy ◽  
University Of British Columbia ◽  
Living Lab ◽  
The University

Any group that creates challenging goals also requires a strategy to achieve them and a process to review and improve this strategy over time. The University of British Columbia (UBC) set ambitious campus sustainability goals, including a reduction in its greenhouse gas emissions to 33% below the 2007 level by 2015, and 100% by 2050 (UBC, 2006). The University pursued these goals through a number of specific projects (such as major district energy upgrade and a bioenergy facility) and, more generally, through a “Campus as a Living Lab” (CLL) initiative to marry industry, campus operations, and research to drive innovative solutions. The CLL program has achieved significant successes while also demonstrating many opportunities for improvements and lessons learned. The aim of this study was to examine the UBC CLL program, to identify and formalize its operations, to extract key transferable characteristics, and to propose replicable processes that other universities and municipalities can follow to expand their sustainable practices in similar ways. There was a learning curve with implementing a CLL program at UBC; thus, the goal of this study was to potentially shorten this learning curve for others. The research involved an ethnographic approach in which researchers participated in the CLL process, conducted qualitative analysis, and captured the processes through a series of business process models. The research findings are shared in two parts: 1. generalized lessons learned through key transferrable characteristics; 2. a series of generic organizational charts and business process models (BPMs) culminated with learned strategies through defined processes that illustrate what was required to create a CLL program at UBC. A generalized future improvement plan for UBC CLL programs is defined, generic BPMs about CLL projects are evaluated, and the level of engagement of multiple stakeholders through phases of project life cycle given in the conclusion for future use of other Living Lab organizations.

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