Use of a decision-making laboratory to support student’s visual analysis for the solution of a transportation problem in Mexico City

Corella, Christelle N.; Noguez, Julieta; Molina, Erazo; Sotkoeva, Erzhena; Salla, Rahul

doi:10.1109/fie43999.2019.9028550

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…The DMC located at Tecnologico de Monterrey, Mexico City campus also referred as "Decision Laboratory", is a room with seven big format and high-definition screens that offers a space to make consensual decisions and to present solution proposals to a group of decision-makers [19]. This last with the goal of selecting the best possible solution.…”

Section: Experimental Designmentioning

confidence: 99%

Supporting the Management of Predictive Analytics Projects in a Decision-Making Center using Process Mining

Sanchez-Escobar¹,

Noguez²,

Molina-Espinosa³

et al. 2021

Adv. sci. technol. eng. syst. j.

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Decision-Making Centers (DMCs) Environment facilitates stakeholders' decision-making processes using predictive models and diverse what-if scenarios. An essential element of this environment is the management of Decision Support Components (e.g., models or systems) that need to be created with mature methodologies and good delivery time. However, there has been a gap in the understanding of project management best practices in DMC environments and in the application of methodologies to ease project execution. In the following paper, we address that gap by analyzing six predictive analytics projects executed in a Mexican DMC using Process Mining techniques. We perform process discovery using a detailed activity event log, which has not been possible in previous studies. Additionally, we perform a compliance evaluation versus the de facto methodology to identify the current process alignment gaps, and finally, we analyze the social networks present in the process execution. The research reveals that (1) process mining models are helpful to address management issues of PA/DM projects (2) PA/DM projects require alignment to mature methodologies to improve process performance and avoid execution problems (3) PA/DM project execution should be revised at the activity level to identify issues and to propose specific strategies. This study's findings can help project managers to perform process analyses and to make informed decisions in PA/DM projects. The following paper is an extension of the article "Applying Process Mining to Support Management of Predictive Analytics/Data Mining Projects in a Decision-Making Center¨ presented in the 2019 International Conference on Systems and Informatics (ICSAI 2019).

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Section: Experimental Designmentioning

confidence: 99%