A trajectory data warehouse solution for workforce management decision-making

Garani, Georgia; Tolis, Dimitrios; Savvas, Ilias Κ.

doi:10.1016/j.dsm.2023.03.002

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…Dentro del ámbito de la inteligencia de negocios, encontramos los almacenes de datos, también conocidos como Data Warehouse (DW) en inglés, que constituyen una arquitectura fundamental para las aplicaciones de soporte a la toma de decisiones y que actualmente están siendo incorporados por las tecnologías de la información (TI). Recientemente, la convergencia entre la capacidad para implementar las tecnologías adecuadas de gestión de la información y las necesidades empresariales ha dado lugar al desarrollo de esta tecnología [7].…”

Section: Introductionunclassified

Inteligencia de Negocios para la Toma de Decisiones en una Pyme del Sector Manufacturero

Avendaño Delgado,

Deza Castillo,

Florian Castillo

et al. 2023

Proceedings of the 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development (LEIRD 202

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The need to maintain better control in the processes of a company, not only commercial but also productive makes it necessary to maintain a focus on the implementation of business tools such as Business Intelligence, which allows to have accurate and statistical data of production in real time and propose solution strategies based on this data. The purpose of this research was to design a Business Intelligence model to facilitate decision making in the production area of an SME in the manufacturing sector. The research has a mixed methodological approach, applied, transversal, prospective and non-experimental, in which the production processes were chosen as a sample and the production area as the unit of study. An interview validated by experts was conducted, along with a documentary analysis based on company records. The Kimball methodology was used to guide the development of the project, which included the creation of a Datamart from the transactional database, the ETL process to load data into the dimensional database and the construction of an OLAP cube for the visualization of reports using Power BI (Business Intelligence

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Section: Introductionunclassified

Inteligencia de Negocios para la Toma de Decisiones en una Pyme del Sector Manufacturero

Avendaño Delgado,

Deza Castillo,

Florian Castillo

et al. 2023

Proceedings of the 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development (LEIRD 202

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Revolutionizing Industries Through Data Mining and Data Warehousing Techniques Across Various Business Areas

Samonte,

Alvarez,

Ogaya

et al. 2024

2024 International Conference on Information Management and Technology (ICIMTech)

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Motion Trajectory Prediction in Warehouse Management Systems: A Systematic Literature Review

Belter,

Hering,

Weichbroth

2023

Applied Sciences

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Background: In the context of Warehouse Management Systems, knowledge related to motion trajectory prediction methods utilizing machine learning techniques seems to be scattered and fragmented. Objective: This study seeks to fill this research gap by using a systematic literature review approach. Methods: Based on the data collected from Google Scholar, a systematic literature review was performed, covering the period from 2016 to 2023. The review was driven by a protocol that comprehends inclusion and exclusion criteria to identify relevant papers. Results: Considering the Warehouse Management Systems, five categories of motion trajectory prediction methods have been identified: Deep Learning methods, probabilistic methods, methods for solving the Travelling-Salesman problem (TSP), algorithmic methods, and others. Specifically, the performed analysis also provides the research community with an overview of the state-of-the-art methods, which can further stimulate researchers and practitioners to enhance existing and develop new ones in this field.

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A trajectory data warehouse solution for workforce management decision-making

Cited by 3 publications

References 9 publications

Inteligencia de Negocios para la Toma de Decisiones en una Pyme del Sector Manufacturero

Inteligencia de Negocios para la Toma de Decisiones en una Pyme del Sector Manufacturero

Revolutionizing Industries Through Data Mining and Data Warehousing Techniques Across Various Business Areas

Motion Trajectory Prediction in Warehouse Management Systems: A Systematic Literature Review

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