scholarly journals Business Process Models in the Context of Predictive Process Monitoring

2021 ◽  
Vol 28 (1) ◽  
pp. 39-46
Author(s):  
Florian Spree

Predictive process monitoring is a subject of growing interest in academic research. As a result, an increased number of papers on this topic have been published. Due to the high complexity in this research area a wide range of different experimental setups and methods have been applied which makes it very difficult to reliably compare research results. This paper's objective is to investigate how business process models and their characteristics are used during experimental setups and how they can contribute to academic research. First, a literature review is conducted to analyze and discuss the awareness of business process models in experimental setups. Secondly, the paper discusses identified research problems and proposes the concept of a web-based business process model metric suite and the idea of ranked metrics. Through a metric suite researchers and practitioners can automatically evaluate business process model characteristics in their future work. Further, a contextualization of metrics by introducing a ranking of characteristics can potentially indicate how the outcome of experimental setups will be. Hence, the paper's work demonstrates the importance of business process models and their characteristics in the context of predictive process monitoring and proposes the concept of a tool approach and ranking to reliably evaluate business process models characteristics.

2014 ◽  
Vol 11 (2) ◽  
pp. 461-480 ◽  
Author(s):  
Nuno Castela ◽  
Paulo Dias ◽  
Marielba Zacarias ◽  
José Tribolet

Business process models are often forgotten after their creation and its representation is not usually updated. This appears to be negative as processes evolve over time. This paper discusses the issue of business process models maintenance through the definition of a collaborative method that creates interaction contexts enabling business actors to discuss about business processes, sharing business knowledge. The collaboration method extends the discussion about existing process representations to all stakeholders promoting their update. This collaborative method contributes to improve business process models, allowing updates based in change proposals and discussions, using a groupware tool that was developed. Four case studies were developed in real organizational environment. We came to the conclusion that the defined method and the developed tool can help organizations to maintain a business process model updated based on the inputs and consequent discussions taken by the organizational actors who participate in the processes.


2019 ◽  
Vol 4 (2) ◽  
pp. 116
Author(s):  
Hilman Nuril Hadi ◽  
Tri Astoto Kurniawan ◽  
Ismiarta Aknuranda

BPMN has become the standard of business process modeling indescribing the existing series of business process. By engaging BPMN, an analystwould possibly able to model the whole business process activities in whichhe/she may analyze business process upon design time. It can be done byanalyzing the structure, behavior, or semantic of process model. In certaincondition one may ask a question what would the effects of the process be if itwere to be executed up to this point?. However, it cannot be solved with onlygraphical notation, but with its semantics. In practice, several modeling tools stilldo not provide a feature for managing information regarding the effects/resultsin the business process model. In fact, analysts should be supported with a toolin order to semantically enrich a process model with its effects. This articledescribes effect annotation semantically towards activity in the BPMN modelincluding the rules in representing its effects. The effect annotation will be suitedtowards activity type (atomic and compound activities). The outcomes of plugin development of eclipse BPMN2 modeler for representing semantic effect arealso described in this paper.


Author(s):  
Montserrat Estañol ◽  
Ángel Varela-Vaca ◽  
María Gómez-López ◽  
Ernest Teniente ◽  
Rafael Gasca

The inclusion of security aspects in organizations is a crucial aspect to ensure compliance with both internal and external regulations. Business process models are a well-known mechanism to describe and automate the activities of the organizations, which should include security policies to ensure the correct performance of the daily activities. Frequently, these security policies involve complex data which cannot be represented using the standard Business Process Model Notation (BPMN). In this paper, we propose the enrichment of the BPMN with a UML class diagram to describe the data model, that is also combined with security policies defined using the UCONABC framework annotated within the business process model. The integration of the business process model, the data model, and the security policies provides a context where more complex reasoning can be applied about the satisfiability of the security policies in accordance with the business process and data models. To do so, we transform the original models, including security policies, into the BAUML framework (an artifact-centric approach to business process modelling). Once this is done, it is possible to ensure that there are no inherent errors in the model (verification) and that it fulfils the business requirements (validation), thus ensuring that the business process and the security policies are compatible and that they are aligned with the business security requirements.


2021 ◽  
pp. 61-72
Author(s):  
Merih Seran Uysal ◽  
Dominik Hüser ◽  
Wil M.P Van der Aalst

The rapid increase in generation of business process models in the industry has raised the demand on the development of process model matching approaches. In this paper, we introduce a novel optimization-based business process model matching approach which can flexibly incorporate both the behavioral and label information of processes for the identification of correspondences between activities. Given two business process models, we achieve our goal by defining an integer linear program which maximizes the label similarities among process activities and the behavioral similarity between the process models. Our approach enables the user to determine the importance of the local label-based similarities and the global behavioral similarity of the models by offering the utilization of a predefined weighting parameter, allowing for flexibility. Moreover, extensive experimental evaluation performed on three real-world datasets points out the high accuracy of our proposal, outperforming the state of the art.


Author(s):  
Mokhtar Soltani ◽  
Sidi Mohamed Benslimane

Various approaches uses business process models as starting point to derive software services. The first and the important task for developing service-oriented models is service identification. However, the majority of existing methods for service identification are developed manually because, on the one hand, they are based on the competence of the developers and, on the other hand, the business process models do not comprise sufficient knowledge to identify services automatically. The integration of Business Process Modeling (BPM), Model-Driven Development (MDD), and Ontology-based Semantic Annotation (OSA) allows the automation of the SOA (Service-Oriented Architecture) services development. Three steps are used for developing an SOA solution: service identification, service specification and finally service realization. In this paper, the authors illustrate a method called MOOSI (Multi-Objective Optimization-based Service Identification) that automatically identifies the architecturally significant elements from an annotated business process model in order to specify service model artifacts. The main goal of this work is to support the automation of the development process of service-oriented enterprise information system. The implementation results of our proposed method are discussed. This result shows that MOOSI can achieve high performance in terms of execution time and important quality in terms of modularization quality of identified services compared with other solution.


Author(s):  
Miroslav Ljubicic ◽  
Nenad Ivezic ◽  
Boonserm Kulvatunyou ◽  
Scott Nieman ◽  
Nenad Anicic ◽  
...  

To facilitate the vision of service-oriented manufacturing, Cloud Manufacturing (CMfg) will need to support business process model life-cycle management. In this paper, we propose the Business Process Cataloging and Classification System (BPCCS) to support that role. BPCCS can facilitate adaptation of business process models. We validate life-cycle management requirements for such a system and propose capabilities the system must have to address these requirements. We analyze related work in academia and industry as a basis for synthesizing a meta-model and a conceptual architecture for the system. We conclude that contextual information for business process models is a critical part of such a system and where the CMfg community can contribute new and valuable results.


2021 ◽  
Author(s):  
Χριστίνα Τσαγκάνη

Οι επιχειρησιακές διαδικασίες αποτελούν μια σημαντική πηγή γνώσης, ειδικά για οργανισμούς που οργανώνονται με τρόπο προσανατολισμένο στις διαδικασίες. Τα μοντέλα επιχειρησιακών διαδικασιών και η σχετική τεκμηρίωση, που είναι ένας τρόπος περιγραφής των οργανωτικών δραστηριοτήτων, μπορούν να αποτελέσουν ένα μέσο αποτελεσματικότερης λειτουργίας και κερδοφορίας για τις επιχειρήσεις. Ως εκ τούτου, οι επιχειρησιακές διαδικασίες μπορούν να θεωρηθούν ως μέρος των οργανωτικών περιουσιακών στοιχείων ενός οργανισμού, τα οποία μπορούν να αξιοποιηθούν και να ενισχύσουν περαιτέρω τη βιωσιμότητα και την κερδοφορία του. Η έρευνα που παρουσιάζεται σε αυτή τη διατριβή επικεντρώνεται στην παροχή μεθοδολογιών που βοηθούν στην εκμετάλλευση αυτών των περιουσιακών στοιχείων, όπως περιγράφεται παρακάτω.Πολύ συχνά, τα μοντέλα επιχειρησιακών διαδικασιών περιέχουν πολλές σημαντικές πληροφορίες, ειδικά όταν πρόκειται για μοντέλα που απεικονίζουν ήδη αυτοματοποιημένες διαδικασίες ή διαδικασίες που θα αυτοματοποιηθούν. Αυτή η μεγάλη ποσότητα πληροφοριών αναστέλλει τη γρήγορη κατανόηση και χρήση τους, ειδικά από ανθρώπους σε υψηλότερα επίπεδα της οργανωτικής ιεραρχίας, όπως στελέχη επιχειρήσεων, διευθυντές και γενικοί διευθυντές, που δεν ενδιαφέρονται για ασήμαντες λεπτομέρειες αλλά πρέπει να επικεντρωθούν στα σημαντικά σημεία της επιχειρησιακής διαδικασίας, για να λάβουν αποφάσεις. Έτσι, μεγάλα και πολύπλοκα μοντέλα επιχειρησιακών διαδικασιών δημιουργούν την ανάγκη για απλοποιημένες εκδόσεις μοντέλων, οι οποίες, ωστόσο, διατηρούν σημαντικές πληροφορίες, όπως μεταξύ άλλων της επικοινωνίας μεταξύ των διαφόρων επιχειρηματικών τομέων που απεικονίζονται σε αυτά τα μοντέλα, και συνεπώς ενισχύουν τη χρηστικότητα των αρχικών μοντέλων. Επομένως, είναι επιτακτική ανάγκη να δημιουργηθούν προσεγγίσεις ικανές να παρέχουν απλουστευμένες μορφές των μοντέλων επιχειρησιακών διαδικασιών που θα βοηθούν στη γρήγορη κατανόησή τους αντί να δημιουργούνται νέα απλούστερα μοντέλα για την ίδια αναλυτική διαδικασία.Επιπλέον, δεδομένου ότι οι πληροφορίες που συλλέγονται σε υπάρχουσες λεπτομερείς επιχειρησιακές διαδικασίες αποτελούν σημαντικό οργανωτικό περιουσιακό στοιχείο, καθίσταται επιτακτική η επαναχρησιμοποίηση τους, ειδικά λαμβάνοντας υπόψη ότι, οι επιχειρήσεις ενδέχεται να αντιμετωπίσουν παρόμοια σενάρια μοντελοποίησης, εντός και μεταξύ, των επιχειρησιακών περιοχών τους. Εκτός αυτού, έχει αποδειχτεί ότι η μοντελοποίηση επιχειρησιακών διαδικασιών σύγχρονων επιχειρήσεων από το μηδέν είναι δύσκολη, χρονοβόρα, επιρρεπής σε σφάλματα και απαιτεί εκτεταμένες προσπάθειες και πόρους για την παραγωγή ποιοτικών μοντέλων. Επομένως, απαιτούνται προσεγγίσεις που επιτρέπουν την επαναχρησιμοποίηση υπαρχόντων μοντέλων επιχειρησιακών διαδικασιών και διευκολύνουν τις προσπάθειες μοντελοποίησης.Αυτή η διατριβή προτείνει νέες λύσεις για την αντιμετώπιση των προαναφερθεισών προκλήσεων, δηλαδή της απλούστευσης και της επαναχρησιμοποίησης μοντέλων επιχειρησιακών διαδικασιών. Συγκεκριμένα, εισάγει ένα πλαίσιο για τη μετατροπή σύνθετων και μεγάλων μοντέλων σε απλούστερα και μικρότερα, προκειμένου να βελτιωθεί η κατανόηση και η επαναχρησιμοποίηση τους. Αυτά τα απλοποιημένα μοντέλα συμπληρώνουν τα αναλυτικά μοντέλα διαδικασίας. Προς το σκοπό αυτό, προτείνεται μια μεθοδολογία βασισμένη σε κανόνες που επεκτείνεται πέραν της αφαίρεσης των δραστηριοτήτων, εστιάζοντας στα χαρακτηριστικά των συστατικών των μοντέλων και τις συσχετίσεις τους. Αυτή η προσέγγιση εφαρμόζεται αυτόματα σε ολόκληρο το μοντέλο μιας επιχειρησιακής διαδικασίας με αποτελεσματικό και αποδοτικό τρόπο, το οποίο επιβεβαιώνεται από τα αποτελέσματα των πειραματικών μετρήσεων.Επιπλέον, η παρούσα διατριβή προτείνει μια μεθοδολογία αντιστοίχισης μοντέλων διαδικασιών που αυξάνει τη χρηστικότητα των ήδη απλουστευμένων μοντέλων διαδικασίας, ενώ διευκολύνει τις προσπάθειες μοντελοποίησης διαδικασιών. Αυτή η προσέγγιση διασφαλίζει την ποιότητα των αποτελεσμάτων αντιστοίχισης, ενσωματώνοντας πολλές μετρικές ομοιότητας. Επίσης, μπορεί να εφαρμοστεί σε μεγάλα μοντέλα διαδικασιών επεκτείνοντας τον αλγόριθμο Α*. Ειδικά, προτείνει την εκμετάλλευση των ιδιοτήτων των στοιχείων του μοντέλου διαδικασίας σε μια προσπάθεια μείωσης του χώρου αντιστοίχισης, ο οποίος είναι ιδιαίτερα χρήσιμος σε περιπτώσεις που αντιστοιχίζονται μεγάλα μοντέλα διαδικασιών. Η αποτελεσματικότητα και εφαρμογή της προτεινόμενης μεθοδολογίας αποδεικνύεται μέσω πειραματικής αξιολόγησης.


Author(s):  
Mostefai Abdelkader ◽  
Ignacio García Rodríguez de Guzmán

This paper formulates the process model matching problem as an optimization problem and presents a heuristic approach based on genetic algorithms for computing a good enough alignment. An alignment is a set of not overlapping correspondences (i.e., pairs) between two process models(i.e., BP) and each correspondence is a pair of two sets of activities that represent the same behavior. The first set belongs to a source BP and the second set to a target BP. The proposed approach computes the solution by searching, over all possible alignments, the one that maximizes the intra-pairs cohesion while minimizing inter-pairs coupling. Cohesion of pairs and coupling between them is assessed using a proposed heuristic that combines syntactic and semantic similarity metrics. The proposed approach was evaluated on three well-known datasets. The results of the experiment showed that the approach has the potential to match business process models effectively.


Author(s):  
Arifah Fairuzia ◽  
Muhammad Ainul Yaqin ◽  
Maulana Muhammad El-Sulthan ◽  
Fauziyah Amini

Data Objects and Data Stores are two notations that exist in BPMN, but in their implementation, in XPDL Data Objects and Data Stores still do not fulfill their function as data stream loaders. So data injection is needed so that the business process model can contain process flow and data flow. The purpose of this study is to develop business process models so that business process models can contain process flow and data flow. The business process model can contain process flow and data flow if there is data injected through XPDL from the business process model. Data injection is performed on XPDL Data Objects, Data Stores and transitions. Before injecting data into XPDL, the data to be injected is analyzed first. After being analyzed, the data is injected into XPDL Data Objects, Data Stores and transitions. After the data is injected, XPDL is tested whether it can be reopened as a business process model or not with Bizagi software. The results obtained are XPDL files that can inject data in the Data Store, Data Objects and transitions. XPDL that has been injected by the data in the test can be reopened in Bizagi software. The conclusion of this research is the process flow and data flow in the business process model can be developed.


2019 ◽  
Vol 25 (5) ◽  
pp. 908-922 ◽  
Author(s):  
Remco Dijkman ◽  
Oktay Turetken ◽  
Geoffrey Robert van IJzendoorn ◽  
Meint de Vries

Purpose Business process models describe the way of working in an organization. Typically, business process models distinguish between the normal flow of work and exceptions to that normal flow. However, they often present an idealized view. This means that unexpected exceptions – exceptions that are not modeled in the business process model – can also occur in practice. This has an effect on the efficiency of the organization, because information systems are not developed to handle unexpected exceptions. The purpose of this paper is to study the relation between the occurrence of exceptions and operational performance. Design/methodology/approach The paper does this by analyzing the execution logs of business processes from five organizations, classifying execution paths as normal or exceptional. Subsequently, it analyzes the differences between normal and exceptional paths. Findings The results show that exceptions are related to worse operational performance in terms of a longer throughput time and that unexpected exceptions relate to a stronger increase in throughput time than expected exceptions. Practical implications These findings lead to practical implications on policies that can be followed with respect to exceptions. Most importantly, unexpected exceptions should be avoided by incorporating them into the process – and thus transforming them into expected exceptions – as much as possible. Also, as not all exceptions lead to longer throughput times, continuous improvement should be employed to continuously monitor the occurrence of exceptions and make decisions on their desirability in the process. Originality/value While work exists on analyzing the occurrence of exceptions in business processes, especially in the context of process conformance analysis, to the best of the authors’ knowledge this is the first work that analyzes the possible consequences of such exceptions.


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