The Use of Process Mining in Business Process Simulation Model Construction

AbstractBackground and Purpose: Business process simulation (BPS) model is based on real-life data form sources like databases, observations and interviews. It acts as “as-is” business scenario can used for reengineering. The main challenge is to gather relevant data and to develop simulation model. Research aims to elaborate BPS model and to systematically assess how close to reality it is.Design/Methodology/Approach: The research has been performed in Polish telecommunications company. Authors investigate technical process of expanding cellular network. After elaborating “as-is” model, authors use ADONIS simulation tool to run a series simulations and confront simulation results with actual historical events. After this, assessment whether computer simulation model can precisely map real-life business process - and consequently act as credible basis for process improvement - is made.Results: The simulation model has been constructed with data from the WfMS database, observations, staff knowledge and their experience. Fully equipped simulation model is found to allow reconstructing the historical execution of business activity with low margin for error. Some limitation were identified and discussed.Conclusion: BPS is not a popular approach for process reengineering and improvement yet. Data collection issues for BPS that require adopting process mining techniques and additional information sources are among the reasons for that. In our study, computer simulation outputs are compatible with historical events. Hence the model reflects the business reality and can be taken as a reference model while redesigning the process.

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SELECTION OF ACTIVITIES IN DYNAMIC BUSINESS PROCESS SIMULATION / VEIKLŲ PASIRINKIMAS DINAMINIO VERSLO MODELIO SIMULIACIJOJE

Mokslas - Lietuvos ateitis ◽

10.3846/mla.2016.934 ◽

2016 ◽

Vol 8 (3) ◽

pp. 187-281

Author(s):

Toma Rusinaitė ◽

Titas Savickas ◽

Tadas Vysockis ◽

Olegas Vasilecas

Keyword(s):

Simulation Model ◽

Business Process ◽

Process Simulation ◽

Business Processes ◽

Dynamic Processes ◽

Changing Environment ◽

The Core ◽

The Past ◽

Core Issues ◽

Selection Of

Maintaining dynamicity of business processes is one of the core issues of today's business as it enables businesses to adapt to constantly changing environment. Upon changing the processes, it is vital to assess possible impact, which is achieved by using simulation of dynamic processes. In order to implement dynamicity in business processes, it is necessary to have an ability to change components of the process (a set of activities, a content of activity, a set of activity sequences, a set of rules, performers and resources) or dynamically select them during execution. This problem attracted attention of researches over the past few years; however, there is no proposed solution, which ensures the business process (BP) dynamicity. This paper proposes and specifies dynamic business process (DBP) simulation model, which satisfies all of the formulated DBP requirements. Šiuolaikiniam verslui svarbu vykdyti procesus dinamiškai, norint laiku prisitaikyti prie besikeičiančios aplinkos. Keičiant procesus reikia įvertinti keitimo pasekmes, o įvertinimui galima naudoti dinaminių procesų imitaciją. Siekiant realizuoti procesų dinamiką, reikia imitacijos metu turėti galimybę keisti proceso komponentus. Problema pritraukia daug dėmesio jau kelerius metus, tačiau vis dar nepasiūlytas sprendimas, kuris užtikrintų verslo proceso dinamiškumą. Šis straipsnis siūlo ir pateikia dinaminio verslo proceso imitacinį modelį, kuris atitinka anksčiau suformuotus dinaminio verslo proceso reikalavimus.

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An approach to business process simulation using mined probabilistic models

Computer Science and Information Systems ◽

10.2298/csis170520045s ◽

2018 ◽

Vol 15 (1) ◽

pp. 31-50

Author(s):

Titas Savickas ◽

Olegas Vasilecas

Keyword(s):

Simulation Model ◽

Business Process ◽

Process Simulation ◽

Probabilistic Models ◽

Business Processes ◽

Model Generation ◽

Event Logs ◽

Event Log ◽

Simulation Results ◽

Source Event

There are many approaches on how to analyse business processes, but the simulation is still not widely employed due to high costs associated with simulation model creation. In this paper, an approach on how to automatically generate dynamic business process simulation model is presented. The approach discovers belief network of the process from an event log and uses it to generate a simulation model automatically. Such model then can be further customised to facilitate analysis. For evaluation of the approach, conformance of the simulation results with the source event logs was calculated. The simulation results were event logs that were generated during the simulation of the discovered models. The evaluation showed that the approach could be used for initial simulation model generation.

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