Beyond Process Mining: From the Past to Present and Future

Aalst, Wil M. P. van der; Pesic, M.; Song, Minseok

doi:10.1007/978-3-642-13094-6_5

Cited by 77 publications

(41 citation statements)

References 31 publications

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“…If the gathering of the measures is carried out automatically, BAM techniques [12] can be used to provide near real time monitoring of business activities, measurement of PPIs, their representation in dashboards, and automatic and proactive notification in case of deviations [13]. Furthermore, this information, either obtained automatically or not, can be analysed using techniques from the fields of process mining [14,15], business process intelligence [16], data warehousing and classical data mining with the goal of evaluating and improving business process models and their implementation.…”

Section: Definition and Management Of Ppismentioning

confidence: 99%

On the definition and design-time analysis of process performance indicators

del–Río–Ortega

Resinas

Cabanillas

et al. 2013

Information Systems

104

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Cite this article as: Adela del-Río-Ortega, Manuel Resinas, Cristina Cabanillas and Antonio Ruiz-Cortés, On the definition and design-time analysis of process performance indicators, Information Systems, http://dx.doi.org/10.1016/j.is. 2012.11.004 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. AbstractA key aspect in any process-oriented organisation is the evaluation of process performance for the achievement of its strategic and operational goals. Process Performance Indicators (PPIs) are a key asset to carry out this evaluation, and, therefore, having an appropriate definition of these PPIs is crucial. After a careful review of the literature related and a study of the current picture in different real organisations, we conclude that there not exists any proposal that allows to define PPIs in a way that is unambiguous and highly expressive, understandable by technical and non-technical users and traceable with the business process (BP). In addition, like other activities carried out during the BP lifecycle, the management of PPIs is considered timeconsuming and error-prone. Therefore, providing an automated support for them is very appealing from a practical point of view.In this paper, we propose the PPINOT metamodel, which allows such an advanced definition of PPIs and is independent of the language used to model the business process. Furthermore, we provide an automatic semantic mapping from the metamodel to Description Logics (DLs) that allows the implementation of design-time analysis operations in such a way that DL $ This work has been partially supported by the European Commission (FEDER), Spanish Government under the CICYT projects SETI (TIN2009-07366) and TAPAS (TIN2012-32273); and projects THEOS (TIC-5906) and ISABEL (P07-TIC-2533) funded by the Andalusian local Government.* Corresponding author. Tel +34954557001 Email addresses: adeladelrio@us.es (Adela del-Río-Ortega), resinas@us.es (Manuel Resinas), cristinacabanillas@us.es (Cristina Cabanillas), aruiz@us.es (Antonio Ruiz-Cortés) Preprint submitted to Information SystemsNovember 22, 2012 reasoners' facilities can be leveraged. These operations provide information that can assist process analysts in the definition and instrumentation of PPIs. Finally, to validate the usefulness of our proposal, we have used the PPINOT metamodel at the core of a software tool called the PPINOT tool suite and we have applied it in several real scenarios.

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Section: Definition and Management Of Ppismentioning

confidence: 99%

On the definition and design-time analysis of process performance indicators

del–Río–Ortega

Resinas

Cabanillas

et al. 2013

Information Systems

104

View full text Add to dashboard Cite

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“…It is important to use both simulation and process mining techniques to better understand, model, and improve real-life business processes. Moreover, the relation can also be used as a basis for providing operational support where users are provided with recommendations about the next actions to take [4,12].…”

Section: Resultsmentioning

confidence: 99%

Generating Event Logs with Workload-Dependent Speeds from Simulation Models

Nakatumba

Westergaard

Aalst

2012

Lecture Notes in Business Information Processing

Self Cite

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Abstract. Both simulation and process mining can be used to analyze operational business processes. Simulation is model-driven and very useful because different scenarios can be explored by changing the model's parameters. Process mining is driven by event data. This allows detailed analysis of the observed behavior showing actual bottlenecks, deviations, and other performance-related problems. Both techniques tend to focus on the control-flow and do not analyze resource behavior in a detailed manner. In this paper, we focus on workload-dependent processing speeds because of the well-known phenomenon that people perform best at a certain stress level. For example, the "Yerkes-Dodson Law of Arousal" states that people will take more time to execute an activity if there is little work to do. This paper shows how workload-dependent processing speeds can be incorporated in a simulation model and learned from event logs. We also show how event logs with workload-dependent behavior can be generated through simulation. Experiments show that it is crucial to incorporate such phenomena. Moreover, we advocate an amalgamation of simulation and process mining techniques to better understand, model, and improve real-life business processes.

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“…i.e., PPIs need to be defined, the corresponding business processes must be instrumented, PPI values have to be computed. They can be monitored and analysed using techniques such as business activity monitoring (BAM) (Dresner 2003), business process intelligence (BPI) (Grigori et al 2004), or process mining (van der Aalst et al 2003(van der Aalst et al , 2010, and finally, a PPI redefinition can be required in case of the evolution of either the associated business processes or the PPIs themselves.…”

Section: Introductionmentioning

confidence: 99%

Visual ppinot: A Graphical Notation for Process Performance Indicators

et al. 2017

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Process performance indicators (PPIs) allow the quantitative evaluation of business processes, providing essential information for decision making. It is common practice today that business processes and PPIs are usually modelled separately using graphical notations for the former and natural language for the latter. This approach makes PPI definitions simple to read and write, but it hinders maintenance consistency between business processes and PPIs. It also requires their manual translation into lower-level implementation languages for their operationalisation, which is a time-consuming, error-prone task because of the ambiguities inherent to natural language definitions. In this article, VISUAL PPINOT, a graphical notation for defining PPIs together with business process models, is presented. Its underlying formal metamodel allows the automated processing of PPIs. Furthermore, it improves current state-of-the-art proposals in terms of expressiveness and in terms of providing an explicit visualisation of the link between PPIs and business processes, which avoids inconsistencies and promotes their co-evolution. The reference implementation, developed as a complete tool suite, has allowed its validation in a multiple-case study, in which five dimensions of VISUAL PPINOT were studied: expressiveness, precision, automation, understandability, and traceability.

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Beyond Process Mining: From the Past to Present and Future

Cited by 77 publications

References 31 publications

On the definition and design-time analysis of process performance indicators

On the definition and design-time analysis of process performance indicators

Generating Event Logs with Workload-Dependent Speeds from Simulation Models

Visual ppinot: A Graphical Notation for Process Performance Indicators

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