Towards a Characterization of BPM Tools’ Simulation Support: The Case of BPMN Process Models

Pereira, José Luís; Freitas, António Paulo

doi:10.24874/ijqr13.04-02

Cited by 8 publications

(5 citation statements)

References 3 publications

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“…Other components that are closely related to BPMN are processes, collaborations, and choreographies. Once a business process is described by using BPMN, a modeller can use a process simulation approach to discover its optimized form [8]. In course of time this approach attracted the attention of many reputable companies (Oracle, Intel, SAP etc.)…”

Section: Methods Used In the Researchmentioning

confidence: 99%

Management of business processes using stochastic simulation

2020

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The paper deals with risks and uncertainties that are related to business processes. The risks and uncertainties (risk factors) can significantly influence organizational performance, value creation and long term-sustainability. Managers are often puzzled with making decisions in the environment of breakthrough discontinuities. The main outcome of the paper is the presentation of purposefully developed software tool that uses stochastic simulation of risks and uncertainties of business processes to support making optimum managerial decisions. This software is able to simulate any process risk factors that are describable by a mathematical model. The model was tested on the examples of production and investment cases. The research applied Business Process Modelling Notation Approach (BPMN) as well as mathematical and stochastic modelling. In addition, contextual interviews with company managers and risk specialists were used to get unbiased, reliable, and professional information on determination and analysis of process risk factors. The research was also supported by the evidence provided by the case study that illustrates software based decision-making process relating to opting for technology variant.

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Section: Methods Used In the Researchmentioning

confidence: 99%

Management of business processes using stochastic simulation

2020

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“…The analysis of a few BPM tools [30] that forms the basis of this research has shown that, in addition to a minimal set of features that are required to do straightforward simulation work and are shared by all of them, there are considerably different simulation capabilities among tools. On the one hand, several BPM tools can already be used for significant simulation work, while on the other hand, there are still some that lack crucial simulation features.…”

Section: Bpmn and Simulationmentioning

confidence: 99%

A business process re-engineering approach to transform business process simulation to BPMN model

Choudhary

Riaz

2023

PLoS ONE

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Software reverse engineering and reengineering are becoming common in the field of games and website development. Simulation and modeling play an important role in understanding the flow of the overall system. Business process modeling notation (BPMN) is used to show the overall architecture of the business process. Simulated business process re-engineering is essential for implementing change or creating new processes. The simulation model explains whether a change will be successful or not prior to adopting any new business processes or other changes. Some available tools help convert the BPMN to a simulating BPMN model but converting the discrete event simulation model build in commercial off the shelf simulation packages like Simul8 to the BPMN to help generate business process simulation to BPMN is also a key challenge. This framework is introduced to convert the simulation model to BPMN using the reverse engineering concept to understand how the converting tools convert the BPMN model to the simulation model. After understanding this process, the concept of reengineering will be used to build a BPMN from the simulation model. The framework is divided into three main parts model translation, model mapping, and model formation. For model building, two simulation tools Simul8 and BPSimulator are used. It is then tested on two case studies bank and product manufacturing. The output shows the BPMN model is generated from the simulation model within less time on a single click saving time and resources for developing BPMN model first and then making simulation model for testing purpose.

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“…According to [28], the axis of the BPM philosophy and the implementation of its principles is the satisfaction of customers' needs. BPM assists managers of SMEs in achieving business objectives [29]. One of the most important business objectives is customers satisfaction.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Modern Digital Systems and Approaches to Business Process Management

et al. 2022

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In order to adapt to ever-changing customer needs and satisfy them, good Business Process Management (BPM) in Small and Medium-sized Enterprises (SMEs) is crucial. The target group of this research is production SMEs whose BPM can be monitored respecting the values of key performance indicators (KPIs). This paper shows how improving the performance of the observed business processes can improve the level of customer satisfaction. This improvement should lead to the sustainability of SMEs in the market. In this paper, evaluation of business processes performance is defined as a multi-criteria decision problem. The relative importance of considered KPIs and their imprecise values are described by linguistic expressions, which are then modeled by triangular intuitionistic fuzzy numbers (TIFNs). Calculation of KPI weights is done by using the fuzzy analytic hierarchy process (FAHP). Evaluation of BPM success is conducted respecting the obtained KPI weights and KPI values. An optimal solution for BPM success improvement, respecting customer satisfaction indicators, is calculated using the Artificial Neural Network (ANN) and Genetic Algorithm (GA) approaches. By applying the proposed model, managers of production SMEs can determine the management initiatives that will improve their business and the sustainability of their companies.

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Towards a Characterization of BPM Tools’ Simulation Support: The Case of BPMN Process Models

Cited by 8 publications

References 3 publications

Management of business processes using stochastic simulation

Management of business processes using stochastic simulation

A business process re-engineering approach to transform business process simulation to BPMN model

Application of Modern Digital Systems and Approaches to Business Process Management

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