Browsing by Author "Sepúlveda Fernández, Marcos Ernesto"

Now showing 1 - 7 of 7
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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 Lessons-learned Mobile System for Construction Companies: Motivation and Design
    (2014) Ferrada Calvo, Ximena Veronica; Sepúlveda Fernández, Marcos Ernesto; Serpell Bley, Alfredo; Daniela Núñez; Neyem, Andres
    Construction projects are an important source of organizational knowledge. Though, it is common to find that most lessons learned in construction projects are lost because most companies never take care of collecting them. To change this situation, a mobile lesson-learned system application with interface for smartphones and web in a cloud environment is proposed. This article focuses on the design of a prototype of the system and the main characteristics of its architecture. It is concluded that the application of mobile technology on the field would facilitate the use of the system, been an appropriate tool for knowledge management. (C) 2014 The Authors. Published by Elsevier Ltd.
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    Applying Clustering in Process Mining to Find Different Versions of a Business Process That Changes over Time
    (Springer, 2012) Luengo Mundaca, Daniela Lorena; Sepúlveda Fernández, Marcos Ernesto
    Most Process Mining techniques assume business processes remain steady through time, when in fact their underlying design could evolve over time. Discovery algorithms should be able to automatically find the different versions of a process, providing independent models to describe each of them. In this article, we present an approach that uses the starting time of each process instance as an additional feature to those considered in traditional clustering approaches. By combining control-flow and time features, the clusters formed share both a structural similarity and a temporal proximity. Hence, the process model generated for each cluster should represent a different version of the analyzed business process. A synthetic example set was used for testing, showing the new approach outperforms the basic approach. Although further testing with real data is required, these results motivate us to deepen on this research line.
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    Improving Merging Conditions for Recomposing Conformance Checking
    (2019) Lee Wai, Lam Jonathan; Muñoz Gama, Jorge; Sepúlveda Fernández, Marcos Ernesto
    Efficient conformance checking is a hot topic in the field of process mining. Much of the recent work focused on improving the scalability of alignment-based approaches to support the larger and more complex processes. This is needed because process mining is increasingly applied in areas where models and logs are big . Decomposition techniques are able to achieve significant performance gains by breaking down a conformance problem into smaller ones. Moreover, recent work showed that the alignment problem can be resolved in an iterative manner by alternating between aligning a set of decomposed sub-components before merging the computed sub-alignments and recomposing sub-components to fix merging issues. Despite experimental results showing the gain of applying recomposition in large scenarios, there is still a need for improving the merging step, where log traces can take numerous recomposition steps before reaching the required merging condition. This paper contributes by defining and structuring the recomposition step, and proposes strategies with significant performance improvement on synthetic and real-life datasets over both the state-of-the-art decomposed and monolithic approaches
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    Process Remaining Time Prediction using Query Catalogs
    (2014) Sepúlveda Fernández, Marcos Ernesto; Bolt Iriondo, Alfredo José
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    Tailored Process Feedback Through Process Mining for Surgical Procedures in Medical Training: The Central Venous Catheter Case
    (2019) De La Fuente Sanhueza, Rene Francisco; Fuentes Henríquez, Ricardo Sergio; Herskovic, Maida Valeria Paz; Muñoz Gama, Jorge; Sepúlveda Fernández, Marcos Ernesto; Salas Morales, Juan Carlos
    In healthcare, developing high procedural skill levels through training is a key factor for obtaining good clinical results on surgical procedures. Providing feedback to each student tailored to how the student has performed the procedure each time, improves the effectiveness of the training. Current state-of-the-art feedback relies on Checklists and Global Rating Scales to indicate whether all process steps have been performed and the quality of each execution step. However, there is a process perspective not successfully captured by those instruments, e.g., steps performed but in an undesired order, part of the process repeated an unnecessary number of times, or excessive transition time between steps. In this work, we propose a novel use of process mining techniques to effectively identify desired and undesired process patterns regarding rework, order, and performance, in order to complement the tailored feedback of surgical procedures using a process perspective. The approach has been effectively applied to analyze a real Central Venous Catheter installation training case. In the future, it is necessary to measure the actual impact of feedback on learning.
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    Temporal specification of business processes through project planning tools
    (2011) Flores, Camilo; Sepúlveda Fernández, Marcos Ernesto
    Business Process Management has gained importance within organizations due to the need to streamline their operations. Nevertheless, despite the existence of process modeling standards such as BPMN, nowadays it is difficult to specify complex temporal constraints and relationships among tasks of a given process, which prevents the specification and subsequent automation of processes where these restrictions are relevant. To solve the exposed difficulty, we have resorted to the project planning and management field, developing a BPMN equivalency of all temporal constraints and relationships that can be specified in a standard project planning tool: Microsoft Project. This not only enables a simple interface for specifying complex temporal restrictions in business processes, but also defines an execution semantic for the models developed in the field of project planning, allowing their later automation through process execution engines