Development of a mobile application for operations research transportation methods.
The project describes the development of a mobile application designed to optimize the resolution of transportation problems. As a starting point, the problem that led to its creation is presented: the need to compare several heuristic methods, a time-consuming process that hinders efficient decision-making due to the absence of a clear approach that guarantees optimal results. The efficiency and effectiveness of heuristic transportation methods is demonstrated through an interactive tool adapted to current needs. The waterfall methodology was used to structure the development of the application, integrating the Northwest Corner, Minimum Cost, and Vogel algorithms. These are traditional methods in transportation literature. In addition to these, three alternative heuristic methods were programmed: Southwest Corner, Maximum Demand, and Minimum Cost by Batches (Cofermin) algorithms. This methodology allows phases such as requirements gathering, design, implementation, and testing to be addressed to ensure a functional result that is adapted to the objectives. The document also presents examples of the code developed and its respective functions, illustrating the technical design and implementation of the application's key features, such as interaction with sliders, buttons, and cells. The results show that the application improves decision-making by providing fast and reliable solutions.
Development of a mobile application for operations research transportation methods.
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DOI: https://doi.org/10.22533/at.ed.317582501102
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Palavras-chave: mobile application, heuristic transportation methods, waterfall methodology, decision-making.
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Keywords: mobile application, heuristic transportation methods, waterfall methodology, decision-making.
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Abstract:
The project describes the development of a mobile application designed to optimize the resolution of transportation problems. As a starting point, the problem that led to its creation is presented: the need to compare several heuristic methods, a time-consuming process that hinders efficient decision-making due to the absence of a clear approach that guarantees optimal results. The efficiency and effectiveness of heuristic transportation methods is demonstrated through an interactive tool adapted to current needs. The waterfall methodology was used to structure the development of the application, integrating the Northwest Corner, Minimum Cost, and Vogel algorithms. These are traditional methods in transportation literature. In addition to these, three alternative heuristic methods were programmed: Southwest Corner, Maximum Demand, and Minimum Cost by Batches (Cofermin) algorithms. This methodology allows phases such as requirements gathering, design, implementation, and testing to be addressed to ensure a functional result that is adapted to the objectives. The document also presents examples of the code developed and its respective functions, illustrating the technical design and implementation of the application's key features, such as interaction with sliders, buttons, and cells. The results show that the application improves decision-making by providing fast and reliable solutions.
- Erick Alexis Velasco Montes de Oca
- Roberto Cruz Gordillo
- Jorge William Figueroa Corzo
- Alicia González Laguna
- Mónica Laurent León Juárez
- Edali Ramos Mijangos
- Ma. Elidia Castellanos Morales
- José Flavio Guillen Vera
- Octavio Ariosto Ríos Tercero