On goal-oriented business process simulation

Vasilecas, Olegas; Vysockis, Tadas; Rusinaite, Toma

doi:10.1109/aieee.2016.7821817

Cited by 6 publications

(9 citation statements)

References 10 publications

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“…Several researchers made a comparison between various existing models [11] and compared them based on four views of a BP, namely, the informational view, the functional view, the dynamic view, and the organizational view. In a previous study [12], we compared several BP tools based on structural, syntactic and semantic factors.…”

Section: Existing Business Process Modelsmentioning

confidence: 99%

Hypergraph Application on Business Process Performance

Bouafia

Molnár

2021

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The modeling of the graphical representation of business processes (BP) or workflows in enterprise information systems (IS) is often to represent various activities, entities, relations, functions, and communicate between them in an enterprise to achieve the major goal of operational support. In this work, we decided to use graph representation approaches, especially hypergraphs to depict the complex relationships that exist among the artifacts and constituents of BP for more efficient and accurate manipulations. We used bipartite and further hypergraph formats for storing and curating data. We have investigated the various descriptive languages and representation models of BP as process modeling, workflow and process integration, and object-oriented (OO) languages. We have carried out experiments using different approach combinations, but for observing quiltedrepresentation, we focused on the main consistencies of “DBP”. As the final approach, we used the “DBP” stream and data schemes that are defined by us to proceed with using pure Python for manually generating data and external Python libraries to store, curate, and visualize “DBP”.

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Section: Existing Business Process Modelsmentioning

confidence: 99%

Hypergraph Application on Business Process Performance

Bouafia

Molnár

2021

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“…A process on how simulation of dynamic business process is performed [25] During the dynamic BP simulation, contrary to other simulation approaches, the activities to be executed are selected not using standard control-flow techniques, such as events or arcs connecting the activities, but by using predicate rules. Such a selection allows modellers to define complex rules, taking into account resource availability, the current state of the executed process instance, contextual data (such as time, day or recent events) and other constraints.…”

Section: Figmentioning

confidence: 99%

An approach to business process simulation using mined probabilistic models

Savickas

Vasilecas

2018

COMSIS J

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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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“…Some level of dynamicity is represented by ad-hoc ( Reichert & Dadam, 2009 ; Bizagi, 2021 ), agile ( Gong & Janssen, 2012 ), flexible ( Rosa et al, 2017 ; Reichert & Weber, 2012 ), adaptive ( Reichert & Dadam, 2009 ), variable ( Rosa et al, 2017 ), customizable ( Rosa et al, 2017 ), declarative ( Jimenez-Ramirez, Barba & Del Valle, 2018 ; Eshuis, 2018 ), and dynamic BP ( Vasilecas et al, 2016 ). However, as outlined in ( Gong & Janssen, 2012 ), the concepts of agility and flexibility overlap nevertheless, and in representing a system’s ability to respond to environmental changes, agility has a stronger influence than flexibility on the characteristic of speed.…”

Section: Introductionmentioning

confidence: 99%

“… Kiedrowicz (2017) has noted that dynamics are obtained during process implementation, with an initially non-defined form of such processes completely or in part. In Vasilecas et al, (2016) , authors define dynamic BP as a set of activities, which might change at a certain point in time due to the changes occurring in the BP context. Therefore, in dynamic BP a sequence of activities cannot be predefined in advance.…”

Section: Introductionmentioning

confidence: 99%

“…Most of today’s approaches fall within this level of dynamicity, a good example of which is the use of variable models ( Rosa et al, 2017 ; Alférez et al, 2014 ; Milani et al, 2016 ). The third and highest level of dynamicity is achieved in the case of, for example, a goal-driven BP that can be changed at run-time according to the new conditions and the customer’s needs, as in Vasilecas et al (2016) . Therefore, these BP have no predefined sequence of activities.…”

Section: Introductionmentioning

confidence: 99%

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A survey on modeling dynamic business processes

Kalibatiene

Vasilecas

2021

PeerJ Computer Science

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Dynamic and flexible systems offer huge advantages for businesses in addressing dynamic uncertain factors and implementing dynamic business processes (DBP). However, DBP remains a challenge from the perspectives of modeling, simulation, and implementation because of a nontrivial understanding of “What is a dynamic business process?” A variety of approaches for DBP modeling and implementation have been proposed over the past years, yet few comprehensive studies analyzing DBP from different particular perspectives (e.g., business process (BP) variability, aspect oriented BP, service compositions, etc.) and research questions that lay the foundation for the development of a meaning of a DBP have been reported. The motivation behind this review is to examine DBP meaning from a global perspective and, consequently, answer the previously presented research question. Therefore, in this paper, we present a systematic literature review (SLR) comprised of 67 papers from five respective digital libraries, which index Computer Science (CS), Information Systems (IS), and Software Engineering (SE) journals and conference proceedings. Two points of view are analyzed in the selected papers. First, we observe the similarities and differences between the proposed approaches to DBP modeling and implementation. From these observations, we define six main requirements for DBP (DBPR). In addition, the comparison of the selected papers according to DBPR shows that most of the approaches analyzed limit BP dynamicity, since they use partially predefined BP models. Secondly, we analyze the papers based on a visualization perspective that shows the less explored areas as follows: more flexible process modeling approach and its implementation in IS should be developed; usage of historic data should be extended; domain knowledge usage, like goal-orientation, multi-criteria optimization, domain knowledge, artificial intelligence, etc., should be included and extended to ensure BP dynamicity. As such, this study makes important contributions and serves as a useful resource for future DBP studies and practice. Moreover, we expect that our results could inspire researchers and practitioners towards further work aimed at bringing forward the field of DBP modeling and implementation.

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On goal-oriented business process simulation

Cited by 6 publications

References 10 publications

Hypergraph Application on Business Process Performance

Hypergraph Application on Business Process Performance

An approach to business process simulation using mined probabilistic models

A survey on modeling dynamic business processes

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