El autor Cristina Cabanillas ha publicado 10 artículo(s):
Resource Assignment Language (RAL) is a language for the selection of organisational resources that can be used, for example, for the assignment of human resources to business process activities. Its formal semantics have allowed the automation of analysis operations in several phases of the business process lifecycle. RAL was designed considering a specific organisational metamodel and pursuing specific purposes. However, it can be extended to deal with similar problems in different domains and under different circumstances. In this paper, a methodology to extend RAL is introduced, and an extension to support another organisational metamodel is described as a proof-of-concept.
Autores: Cristina Cabanillas / Manuel Resinas / Antonio Ruiz-Cortés / Jan Mendling /
Palabras Clave: Business Process Management - description logics - RAL - resource assignment - W3C Organisation Ontology
Actual process executions may constitute a valuable input for improving process design. Process mining provides methods for automatic process analysis, among others for discovering processes by extracting knowledge from event logs in the form of a process model. Various algorithms are available to discover models capturing the control flow of a process, related to the behavioural perspective of the process.For perspectives like the organisational perspective, which manages the involvement of human resources in processes, only partial solutions for mining had been developed despite the importance of resource information not only for performance but also for compliance analysis.
Prior work on mining resource information focused on discovering specific aspects of the organisational perspective such as role models, separation of duty or social networks. However, comprehensive and integrated support for the wellestablished workflow resource patterns, and specifically in this context for the socalled creation patterns, was missing. Furthermore, the close interplay between the organisational and the behavioural perspectives (cross-perspective patterns) was disregarded.
The research reported in this paper presented an efficient and effective framework for mining the organisational perspective of business processes that is divided into an event log pre-processing phase, a phase for integrated resource mining including cross-perspective patterns, and a model post-processing phase. We evaluated our approach with an implementation of the three phases, with simulation experiments for measuring performance, and with the application of the approach on a real-life event log for checking its effectiveness.
Autores: Stefan Schönig / Cristina Cabanillas / Stefan Jablonski / Jan Mendling /
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Autores: María Salas-Urbano / Carlos Capitán-Agudo / Cristina Cabanillas / Manuel Resinas /
Palabras Clave: Data Exploration - directly-follows graphs - Process Mining - Queries - visualizations
Business Process Management Systems (BPMS) are increasingly used to support service composition, typically working with executable BP models that involve resources, which include both automatic services and services provided by human resources. The appropriate selection of human resources is critical, as factors such as workload or skills have an impact on work performance. While priorities for automatic services are intensively researched, human resource prioritization has been hardly discussed. In classical workflow management, only resource assignment at BP design time to select potential performers for activities, and resource allocation at run time to choose actual performers, are considered. There is no explicit consideration of prioritizing potential performers to facilitate the selection of actual performers. It is also disregarded in professional solutions.
In this paper, we address this research gap and provide two contributions: (i) we conceptually define prioritized allocation based on preferences; and (ii) we propose a concrete way in which preferences over resources can be defined so that a resource priority ranking can be automatically generated. Our solution builds on the adaptation of a user preference model developed for the discovery and ranking of semantic web services called SOUP [1] to the domain at hand. As a proof of concept, we have extended the resource management tool CRISTAL (http://www.isa.us.es/cristal) with the SOUP component [2], using RAL [3] for resource selection. 1. J. M. García, D. Ruiz, and A. R. Cortés, «A Model of User Preferences for Semantic
Services Discovery and Ranking,» in ESWC (2), pp. 114, Springer, 2010. 2. J. M. García, M. Junghans, D. Ruiz, S. Agarwal, and A. R. Cortés, «Integrating
semantic Web services ranking mechanisms using a common preference model,» Knowl.-Based Syst., vol. 49, pp. 2236, 2013. 3. C. Cabanillas, M. Resinas, and A. Ruiz-Cortés, «Defining and Analysing Resource Assignments in Business Processes with RAL,» in ICSOC, vol. 7084, pp. 477486, Springer, 2011.
This work was published in ICSOC 2013, vol. 8274, 374-388. It was partially supported by the EU-FP7, the EU Commission, the Spanish and the Andalusian R&D&I programmes (grants 318275, 284860, TIN2009-07366, TIN2012-32273, TIC-5906).
Autores: Cristina Cabanillas / José María García / Manuel Resinas / David Ruiz / Antonio Ruiz-Cortés / Jan Mendling /
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Autores: Carlos Capitán-Agudo / María Salas-Urbano / Cristina Cabanillas / Manuel Resinas /
Palabras Clave: BPI challenge - interestingness - Process Mining - recommendation
Business process (BP) modelling notations tend to stray their attention from resource management, unlike other aspects such as control flow or even data flow. On the one hand, the languages they offer to assign resources to BP activities are usually either little expressive, or hard to use for non-technical users. On the other hand, they barely care about the subsequent analysis of resource assignments, which would enable the detection of problems and/or inefficiency in the use of the resources available in a company. We present RAL Solver, a tool that addresses the two aforementioned issues, and thus: (i) allows the specification of assignments of resources to BP activities in a reasonably simple way; and (ii) provides capabilities to automatically analyse resource assignments at design time, which allows extracting information from BP models, and detecting inconsistencies and assignment conflicts.
Autores: Cristina Cabanillas / Adela del-Río-Ortega / Manuel Resinas / Antonio Ruiz-Cortés /
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Business processes (BPs) are often analysed in terms of control flow, temporal constraints, data and resources. From all of these aspects, resources have received much less attention than other aspects, specially control flow. Even the standard BP modelling notation (BPMN) does not provide concrete definitions for the resource-related concepts [2]. However, the participation of people in BPs is of utmost importance, both to supervise the execution of automatic activities and to carry out software-aided and/or manual tasks. Therefore, they should be considered when designing and modelling the BPs used in an organization.
In this paper we face human-resource management (resource management for short) in BP models. Firstly, we deal with the assignment of resources to the activities of a BP model, aiming at easing and improving the way resources can be associated with BP activities. Some approaches addressing a similar purpose have been introduced in the last years [35], but they are in general either too complex to be used by technically unskilled people, or not expressive enough to provide powerful resource management in workflows (WFs) and BPs.
Autores: Cristina Cabanillas / Manuel Resinas / Antonio Ruiz-Cortés /
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Summary of the Contribution
Process-oriented organisations need to manage the different types of responsi- bilities their employees may have w.r.t. the activities involved in their business processes. Despite several approaches provide support for responsibility modelling, in current Business Process Management Systems (BPMS) the only responsibility considered at run time is the one related to performing the work required for activity completion. Others like accountability or consultation must be implemented by manually adding activities in the executable process model, which is time-consuming and error-prone. This paper addresses this limitation by enabling current BPMS to execute processes in which people with different responsibilities interact to complete the activities. A metamodel based on Responsibility Assignment Matrices (RAM) is designed to model the responsibility assignment for each activity, and a template- based mechanism that automatically transforms such information into BPMN elements is developed. The approach is independent of the platform and hence, the output models can be interpreted and executed by BPMS that support BPMN. Furthermore, the original structure of the process model remains unchanged, as the templates for modelling responsibilities are defined at subprocess level. This provides transparency and does not affect the readability of the original model. As our approach does not enforce any specific behaviour but new templates can be modelled to specify the interaction that best suits the activity requirements, there is high flexibility and generalisability. Moreover, template libraries can be created and reused in different processes. We provide a reference implementation and build a library of templates for a well-known set of responsibilities.
Autores: Cristina Cabanillas / Manuel Resinas / Antonio Ruiz-Cortés /
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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). Furthermore, it is also increasingly important to provide these PPI definitions with support to automated analysis allowing to extract implicit information from them and their relationships with the BP. In this work we present PPINOT, a tool that allows the graphical definition of PPIs together with their corresponding business processes, and their subsequent automated analysis.
Autores: Adela del-Río-Ortega / Cristina Cabanillas / Manuel Resinas / Antonio Ruiz-Cortés /
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