Browsing by Author "Arias, Michael"

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    A Framework for Recommending Resource Allocation based on Process Mining
    (2016) Arias, Michael; Rojas, Eric; Muñoz Gama, Jorge; Sepúlveda Fernández, Marcos Ernesto
    Dynamically allocating the most appropriate resource to execute the different activities of a business process is an important challenge in business process management. An ineffective allocation may lead to an inadequate resources usage, higher costs, or a poor process performance. Different approaches have been used to solve this challenge: data mining techniques, probabilistic allocation, or even manual allocation. However, there is a need for methods that support resource allocation based on multi-factor criteria. We propose a framework for recommending resource allocation based on Process Mining that does the recommendation at sub-process level, instead of activity-level. We introduce a resource process cube that provides a flexible, extensible and fine-grained mechanism to abstract historical information about past process executions. Then, several metrics are computed considering different criteria to obtain a final recommendation ranking based on the BPA algorithm. The approach is applied to a help desk scenario to demonstrate its usefulness.
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    A Multi-criteria Approach for Team Recommendation
    (2017) Arias, Michael; Muñoz Gama, Jorge; Sepúlveda Fernández, Marcos Ernesto
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    BPIC 2013: Volvo incident and problem management behavior analysis
    (2013) Arias, Michael; Rojas, Eric
    This essay has the purpose of presenting the results of a work performed as part of Third International Business Process Intelligence Challenge. This challenge presents an event log from Volvo IT Belgium Company related with incident and problem management, focusing on a couple process owner´s questions. The authors of this document present the analysis realized applying different kind of tools and process mining techniques in order to solve the challenge presented. We provide an analysis, which discovered behavior characteristics, associated with products, resources and organizational lines. The results obtained provide useful information that Volvo can use to have more knowledge about the process that they are executing and have more information to make decisions and improve the actual process.
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    Clinical processes and its data, what can we do with them?
    (2015) Rojas, Eric; Arias, Michael; Sepúlveda Fernández, Marcos Ernesto
    Global healthcare services have evolved over time, and nowadays they are expected to follow high-quality optimized standards. Analyzing healthcare processes has become a relevant field of study, and different techniques and tools have been developed to promote improvements in the efficiency and effectiveness of these processes. There is a research field called process mining that can be used to extract knowledge from the event data stored in the hospital information systems. With the help of this, it is possible to discover the real executed process, examine its performance and analyze the resource interaction during its execution. The goal of this article is to provide a bibliographic survey about the use of process mining algorithms, techniques, and tools in the analysis of healthcare processes, providing a general overview about the main approaches previously used and the information required to apply them in the medical field. We provide important insights about data, algorithms, techniques and methodologies that are required to help answer medical expert questions about their processes, motivating and inspiring a broader usage. So, if we have the information and it is possible to analyze and understand the healthcare processes, why are we not doing it?
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    Combining Process Mining and Process Simulation in Healthcare: A Literature Review
    (Institute of Electrical and Electronics Engineers Inc., 2024) Salas, Evelyn; Arias, Michael; Aguirre, Santiago; Rojas Cordoba, Eric Eduardo
    Organizations are increasingly incorporating new strategies to ensure that the complex processes involved in the healthcare sector are comprehensively understood and enhanced. This includes the adoption of process mining (PM) and process simulation (PS), which have been used separately or in combination with one another in the healthcare field to assist decision-makers in process optimization. Although both PM and PS have provided a number of valuable contributions to healthcare, analysis in existing literature is lacking regarding analysis of the benefits, limitations, and tools derived from their combination thereof. The present article conducts a literature review, based on the PRISMA methodology, in which both disciplines are analyzed in terms of their application to healthcare. By reviewing distinct scholarly databases, 31 research studies were selected for analysis, from which it was possible to characterize case studies, techniques, tools, perspectives and algorithms, as well as to identify key limitations. The results indicate a stronger focus on medical fields including cardiology and emergency departments, with a preference for software tools, such as ProM, Disco, Arena, and CPN Tools. The use of real data predominates across the research studies, and the two most commonly identified and detailed limitations in the analysis relate to data quality issues and the involvement of healthcare experts throughout the analysis. Moreover, there is an increasing interest in the publications of papers on these topics within Latin America. Finally, through the findings of the present article have led the authors to propose several opportunities for future research. For example, the compilation of case studies in relation to medical fields that have been historically overlooked, and the availability of software that integrates PM and PS, in addition to the extent to which the usefulness of this combination may improve as a result in the field of healthcare.
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    Deciphering event logs in SharePoint Server: A methodology based on process mining
    (IEEE, 2014) Arias, Michael; Rojas, Eric
    Nowadays, the information systems are an indispensable resource for the organizations. The processes that are managed through these systems most of the time are hard to understand, maintain and improve. The data associated to the process becomes the main source and input to do all types of analysis. Process Mining allows the extraction of useful knowledge from the generated information of the corporate systems. This work suggests a methodology based on process mining to execute process support analysis of a corporate intranet implemented in SharePoint Server. With the extracted information it is possible to do analysis from several perspectives. The obtained results allow administrators of this type of technology platforms to evaluate the techniques used and generate benefits. The methodology was applied in a case study for a Retail client, besides doing an exploratory analysis of the data for two additional clients in the Industrial Safety industry in Chile.
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    Discovering role interaction models in the Emergency Room using Process Mining
    (2018) Alvarez, Camilo; Rojas, Eric; Arias, Michael; Munoz-Gama, Jorge; Sepulveda, Marcos; Herskovic, Valeria; Capurro, Daniel
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    Human resource allocation in business process management and process mining : a systematic mapping study
    (2018) Arias, Michael; Saavedra Madariaga, Rodrigo Alejandro; Marques, Maira R.; Muñoz Gama, Jorge; Sepúlveda Fernández, Marcos Ernesto
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    Human resource allocation or recommendation based on multi-factor criteria in on-demand and batch scenarios
    (2018) Arias, Michael; Muñoz Gama, Jorge; Sepúlveda Fernández, Marcos Ernesto; Miranda, Juan Carlos
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    ResRec: A multi-criteria tool for resource recommendation
    (2016) Arias, Michael; Rojas, Eric; Lee, Wai Lam Jonathan; Muñoz Gama, Jorge; Sepúlveda Fernández, Marcos Ernesto
    Dynamic resource allocation is considered a key aspect withinbusiness process management. Selecting the most suitable resources is achallenge for those in charge of making the allocation, because the efficiency with which this task is executed, can contribute to the quality ofthe results, and improve the process performance. Different mechanismshave been proposed to improve resource allocation. However, there is aneed for more flexible allocation methods that integrate a set of conditions and requirements defined at run-time, and also, allow the combination of different criteria to evaluate resources. In this paper, we presentResRec, a novel Multi-factor Criteria tool that can be used to recommend and allocate resources dynamically. The tool provides the featureof solving individual requests (On-demand), or requests made in blocks(Batch) through a recommender system developed in ProM.
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    Towards a Taxonomy of Human Resource Allocation Criteria
    (2018) Muñoz Gama, Jorge; Sepúlveda, Marcos ; Arias, Michael
    Allocating the most appropriate resource to execute the activities of a business process is a key aspect within the organizational perspective. An optimal selection of the resources that are in charge of executing the activities may contribute to improve the efficiency and the performance of the business processes. Despite the existence of resource metamodels that seek to provide a better representation of resources, a detailed classification of the allocation criteria that have been used to evaluate resources is missing. In this paper, we provide an initial proposal for a resource allocation criteria taxonomy. This taxonomy is based on an extensive literature review that yielded 2,370 articles regarding the existing resource allocation approaches within the business process management discipline, from which 95 articles were considered for the analysis. The proposed taxonomy points out the most frequently used criteria for assessing the resources from January 2005 to July 2016.
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    Using Process Mining in Agile Software Development Methodologies: A Systematic Mapping Study
    (IEEE, 2018) Arias, Michael; Marques, Maira R.; Rojas Córdoba, Eric Eduardo
    The structure and the way in which organizations manage their projects have evolved. Agile software development has emerged as an alternative to manage projects management processes more efficiently. Process mining allows the analysis of project historical information and proposing improvements for agile processes. A systematic mapping study (SMS) was conducted to classify the proposed approaches in agile development methodologies that uses process mining. A total of 502 studies were identified, and finally 6 studies were selected and analyzed according to distinct aspects. Conference proceedings is the most common venue. There is a concentration of approaches published that comes from Asia and Europe. Disco tool is the most frequently used tool. Meanwhile, the process discovery being the most relevant process mining type used by researchers in this research area. There are two evaluation methods reported as being used: case study and running example, where Scrum is the most frequently methodology used. To the best of our knowledge, this is the first research that has been conducted to generate a SMS in this research area.