Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551039
Pertenecen a esta colección Tesis y Trabajos de grado de las Maestrías correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
Browse
Search Results
- Efecto del consumidor de gobierno en la confianza del consumidor en México(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2025-12-20) L'Eglise Orozco, Luis Alfonso; Sánchez López, Fernando; emimmayorquin, emipsanchez; Pérez Acosta, María Guadalupe; Hernández Daniel; Escuela de Gobierno y Transformación Pública; Campus Ciudad de MéxicoEste estudio examina la relación entre el consumo de gobierno y la confianza del consumidor en México entre 2001 y 2025 mediante un modelo ARDL. Con datos trimestrales y controles como el tipo de cambio real y un dummy por COVID-19, se identifican efectos de corto y largo plazo. Los resultados muestran cointegración y un impacto negativo de largo plazo: un incremento en el consumo de gobierno reduce la confianza del consumidor en 2.11%. En el corto plazo, solo el tipo de cambio y la pandemia afectan significativamente al ICC. Los hallazgos sugieren que mayor gasto público puede generar percepciones de incertidumbre fiscal.
- Implementación de un plan de ventas y operaciones (S&OP)(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2025-11-25) Banderas Márquez, Adriana Valeria; Coronado Mondragón, Christian Etianne; mtyahinojosa, emipsanchez; Vázquez Hernández, Jesús; Escuela de Ingeniería y Ciencias; Campus MonterreyEste proyecto implementa un proceso estructurado de Sales and Operations Planning (S&OP) en Flexometal, empresa mexicana dedicada a la fabricación de tubería de acero, con enfoque en la línea galvanizada RSD, que representa el 32 % de sus ventas totales. Mediante un diagnóstico operativo y una revisión sistemática de literatura, se identificaron deficiencias en la planeación de la demanda, el manejo de inventarios y la coordinación entre ventas, operaciones y finanzas, lo que generaba altos costos, variabilidad en la producción y un nivel de servicio inferior al objetivo corporativo. A partir de estos hallazgos, se establecieron siete objetivos operativos, entre ellos: reducir costos en 10 - 14 %, disminuir inventarios en al menos 15 %, mejorar la precisión del pronóstico en 15–20 %, elevar el nivel de servicio entre 15–18 % y fortalecer la colaboración interdepartamental. El proceso implementado adaptó las cinco fases del S&OP al contexto de Flexometal, incorporando herramientas como pronósticos estadísticos, políticas de inventario, análisis financiero y una estructura mensual de reuniones colaborativas. Tras diez meses de ejecución, el modelo generó mejoras tangibles: reducción del MAPE de 31 % a 22 %, optimización del inventario en 19 %, incremento del nivel de servicio a 93.8 % y una disminución total de costos del 12 %, equivalentes a ahorros estimados de 1.6 millones de pesos anuales. El S&OP se consolidó como un sistema sostenible, replicable y orientado a la toma de decisiones basada en datos.
- Automatic occupation classification based on the KSA model for Spanish job texts in the Mexican automotive sector(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2025-11-20) Acosta Flores, Armando Antonio; Gibrán Ceballos, Hëctor; mtyahinojosa, emipsanchez; Cantú Ortiz, Francisco Javier; González Gómez, Luis José; School of Engineering and Sciences; Campus Monterrey; Butt, SaburThis thesis explores how competency information—specifically Knowledge, Skills, and Abilities (KSA)—can support the classification of Spanish job postings into the Mexican occupational taxonomy SINCO 2019. While international frameworks such as ISCO and ESCO have guided occupational modeling for many years, there is still no practical method that connects KSA evidence in Spanish job texts to SINCO categories. This gap is especially visible in Mexico, where job postings vary widely in structure and vocabulary. To address this challenge, the thesis develops a transparent classification pipeline based on TF-IDF representations of normalized KSA terms combined with simplified job-title information. The study evaluates different feature configurations using reproducible experiments and shows that combining KSAs with title cues leads to more stable and interpretable predictions than using titles alone. The results highlight which SINCO unit groups are harder to distinguish and how overlapping competencies influence misclassifications. Overall, the thesis provides a practical baseline for Spanish occupational classification and opens opportunities for future work, including hierarchical approaches, automatic KSA extraction, and transformer-based models adapted to Mexican labor data.
- Propuesta de optimización del pricing estático mediante metodología DMAIC en un entorno CRM(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-09-23) Araiza Pérez, Natalia; Coronado Mondragon, Christian Etienne; mtyahinojosa, emipsanchez; Vázquez Hernández, Jesús; Ramírez Ponce, Edgar Omar; Escuela de Ingeniería y Ciencias; Campus MonterreyEl presente estudio desarrolló una propuesta de optimización del pricing estático para el área de Ventas Industria Química de Grupo Calidra en la Región Norte de México, mediante la metodología DMAIC (Definir, Medir, Analizar, Mejorar y Controlar). La investigación partió de una situación caracterizada por procesos manuales, alta variabilidad en descuentos, ausencia de analítica integrada y un tiempo promedio de cotización de 48 horas, factores que generan reprocesos, discrepancias comerciales y un desempeño de experiencia del cliente por debajo de los objetivos estratégicos. En la fase Definir se segmentó la cartera de clientes (tipos A, B y C) y se seleccionó el producto Quimex 90 como piloto del sistema de pricing. En Medir, se estableció la línea base operativa y se documentó el proceso actual mediante un SIPOC, identificando cuellos de botella en validaciones y ajustes manuales. En Analizar, se propuso utilizar herramientas como el diagrama de Ishikawa y el análisis de Pareto para profundizar en las causas raíz, considerando que alrededor del 30% del tiempo del proceso se destina a tareas manuales y retrabajos, lo que refuerza la necesidad de un esquema de pricing estático estandarizado. En la fase Mejorar se propuso en el diseño conceptual de un módulo de pricing integrado a Dynamics 365, basado en listas base, reglas de segmentación y flujos de aprobación automatizados. Finalmente, en Controlar se propuso definir indicadores clave —tiempo de cotización, tasa de errores y Net Promoter Score (NPS)— junto con una propuesta de dashboards y rutinas de monitoreo mensual. Como parte del enfoque metodológico, se compararon distintos escenarios de plataforma CRM (Dynamics 365, Coupa y Salesforce + CPQ), y se seleccionó Dynamics 365 como solución objetivo por su mayor integración para soportar un esquema de pricing estático segmentado. Los resultados esperados, sustentados en literatura especializada y casos de la industria química e industrial B2B, incluyeron una reducción del 20% en el tiempo de cotización, una disminución mínima del 15% en errores de pricing y reprocesos, una recuperación estimada de entre 1.2 y 2.0 millones de pesos anuales asociados a pérdidas por descuentos no controlados y ajustes de facturación, un incremento de 15 puntos en el NPS y un aumento del 25% en ventas cruzadas y adicionales. La principal contribución de este trabajo radicó en integrar, en un caso aplicado del sector químico, los enfoques de CRM analítico, pricing estático segmentado y metodologías Lean Six Sigma, donde se propuso un marco replicable para la mejora de procesos comerciales B2B soportados en plataformas tecnológicas como Dynamics 365.
- Charging EV station forecasting and location model for Mexico’s private sector(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-06-13) Hernández Salazar, Aldo; Ríos Solís, Yasmín Águeda; emimmayorquin; Jacobo Romero, Yulitza Yazmin; Shcool of Engineering and Sciences; Campus Monterrey; Probst, OliverThe decarbonization of the transport sector is critical for addressing climate change, with electric vehicles (EV) representing a pivotal solution. This thesis focuses on forecasting EV adoption and optimizing charging stations’ location in Mexico’s private sector. The study examines relevant national and international regulations and existing EV adoption models through a comprehensive literature review. Data collection incorporates national statistics, energy consumption records, and market reports on EV sales and adoption rates. Using statistical methods, the research develops multiple scenarios for EV adoption up to 2030. A mixed integer programming model is then constructed to maximize the profitability of charging station placements, considering constraints such as budget, parking availability, and electrical capacity. A detailed case study with anonymized data from Iberdrola’s clients is conducted, simulating the model to determine optimal charging station locations and configurations. The results provide valuable insights into the infrastructure needed to support the transition to EVs in Mexico, offering strategic recommendations for stakeholders. The study concludes with suggestions for future research, emphasizing the importance of real-time data and expanding the analysis to public charging infrastructure. This work aims to contribute significantly to Mexico’s sustainable energy transition and develop an efficient, widespread EV charging network.
- Comparative analysis of physicochemical and quality parameters in artisanal and commercial mexican honeys(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024) Flores Martínez, Alma Delfina; Angulo Bejarano, Paola Isabel 172602; Maldonado Guevara, Blanca Isabel; Cardador Martínez, Ma. Anaberta; Vázquez Martínez, Juan; Escuela de Ingeniería y Ciencias; Campus Monterrey; Sharma, AshutoshHoney is considered the most famous natural sweetener in the world. Honeybee (Apis mellifera) is the one that produces the honey that people commonly consume in their homes. The adulteration of this natural product has become one of the hardest problems in the market. Honey’s physicochemical properties are influenced by nectar source and storage time which also impact the quality (composition and sensory properties) and the volatile organic compound profiles. In Mexico, the lack of studies and information about artisanal honeys produced in rural areas is an opportunity area to expand its knowledge. Therefore, it is important to validate the physicochemical and quality parameters in artisanal honey produced in different areas of Mexico like Jalpan, located in “La Sierra Gorda” in Queretaro state, to the best of our knowledge this is the first report on artisanal honey quality studies in this locality. In the present research the physicochemical, quality, and volatile organic compound profile was analyzed in both artisanal and commercial honeys from Mexico. The physicochemical analysis done in all 13 samples revealed that all presented an acid pH ranging from (3.6 to 4.77), moisture levels ranged from to (15.77 to 21.80). Color evaluation using the CIEL*a*b* method classified most of the samples as “dark honeys”. The most abundant sugar was fructose, followed by glucose and maltose in all samples as found by HPLC analysis. The antioxidant activity analysis by DPPH and ABTS analysis revealed that darker honey samples had the highest antioxidant activity. SPME coupled to GCMS analysis was performed to evaluate the volatile organic compound profile of all 13 samples. Interestingly, various common biomarkers for honey were conserved among all samples, while some others had a differential expression (hotrienol, linalool oxide, trans-furan linalool oxide, cis-linalool oxide, Lilac aldehydes A, B, C, and D, nonanal and 1,2-epoxylinalool), and other group of compounds that were found have not been reported previously in honey samples which were mostly present in sample H4 indicating adulteration of this sample.
- Privacy based smart contract modeling using the UTXO model with DAML(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2023-11-30) López Hernández, José Daniel; García Bañuelos, Luciano; emipsanchez, emimmayorquin; Armas Cervantes, Abel; García Ceja, Enrique; Rodríguez Flores, Luis Armando; School of Engineering and Sciences; Campus Estado de MéxicoBlockchain is an area of opportunity for multiple fields, not only does it work for financial applications such as bitcoin or Etherium, but it also has opportunity for other type of applications. Business process management systems are commonly used for the creation, monitoring and optimization of business processes, and while there exist several BPMS there is no currently used one in the Blockchain. The main reason why companies are not using Blockchain hosted BPMS is due to the confidentiality problem native to the very same Blockchain, since all transactions are public in the Blockchain; due to security concerns, there is no native implementation for confidentiality in processes. That is why for a BPMS to be used in the Blockchain it has to be created with confidentiality in mind. In this thesis I wish to present a possible solution to the lack of confidentiality in the Blockchain, and inspire further work to implement a whole BPMS using DAML smart contract language as a solution. However in contrast to past work that has used a native BPMS to create business process models and translate them into smart contracts, DAML runs into an impedance mismatch with the used BPMS, BPMN. DAML being an UTXO smart contract language places a lot of emphasis on information flow, which is contrary to the action oriented BPMN. Due to this, it was decided that a new modeling language based on the JOpera ideas of what a visual language has to be was going to be created which was aptly named Graphical DAML. With the creation of this Visual language based on UML, the translation processes between GDAML and DAML had to be done, in the end a middle step between these two was added in the form of a JSON object. With the translation process complete, testing on DAML as a solution proved to be successful as the processes kept privacy and confidentiality of the users, the contracts and the information therein hidden to every user that was not pertinent. After all this, future work is recommended to extend this application and all resources are shared with the readers.
- Standardized model for innovation proposal creation in the medical device field(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2023-11-20) Torres Flores, Adriana; Loera Hernández, Imelda; emiggomez, emipsanchez; Aceves Campos, Nancy; Siller González, Andrea; School of Engineering and Sciences; Campus MonterreyThe following project was carried out at the company Bioana, a medical device company that develops projects both internal and external from international clients. Bioana is a project-oriented organization since projects are created to attend the specific needs of the client, the regulatory burden according to device classification and risks associated with the uncertainty of product development. One of the critical parts for project success is planning and that process incorporates the proposal quotation for our clients. In recent years the proposal preparation takes a considerable amount of time from 1 week to 1 month, depending on the workload of the management team and the complexity of the project. The objective of the current project is to create a standardized proposal model specific to medical device innovation adapting to the specific needs of Bioana, providing a clear framework for selecting, quoting, and planning each innovation project. The impact of the implementation of the proposal model is reducing the cost burden associated with delivering projects outside from the quoted timeframe, stay within budget and have clear guidelines when to negotiate with clients’ specific terms to avoid incurring in losses. The financial impact of such a model can be clearly measured by KPIs once the proposals are accepted by the clients and the projects are started. With the use of the proposed model the average time for proposal preparation went from a process that required several days, to 3 to 4 hours maximum.
- Model development for forecasting engineering resources assigned to harness design projects(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2023-07-14) Cordero Rivera, Jose de la Cruz; Tamayo Enríquez, Francisco Alberto; emimmayorquin; Tecnológico de Monterrey; Campus MonterreyA wiring harness is a combination of conductors and connectors to bring signals between devices within an environment to enable a system to perform. Current CAD modeling process helps to predict physical parameters to reduce time during product verification and validation before cost reduction is performed. Design resources forecast and time estimation has been an area to improve since future projects time frames are hard to predict, currently resources are assigned according to designers needs and variate through project development. Previous attempts to develop regression model had been made considering variables hard to estimate before the design is completed. Multiple linear regression is going to be used to determine design time for single wiring harness model and thus, compute the amount of engineering resources assigned to a project. Effective team structure and communication are required to meet out of design dates, avoiding downtimes and allowing a constant workload during the project timeframe. This project was focused on developing a regression model to forecast the amount of engineering resources required to complete an electrical wiring harness routing project with an unfluctuating workload in a defined period.
- Dynamic time delay methods for wind resources in complex terrain(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2023-02-13) Chávez Gutiérrez, Troy David; Probst Oleszewski, Oliver Matthias; emiggomez, emipsanchez; Minchala Ávila, Luis Ismael; School of Engineering and Sciences; Campus Monterrey; Ríos Solís, Yasmín ÁguedaWind Energy is the process of generating electricity via wind turbines, with wind resources therefore being one of the most crucial factors to consider for its profitability and development. However, not only the stochasticity and turbulence in wind speed makes it a difficult resource to predict but the complex terrain where wind farms are pretended to be installed provides a high challenge for wind planners to rely on wind resources. A better and deeper understanding of atmospheric flow with more robust methodologies are demanded for wind resource assessment. In that case, data-driven science is a methodology proper to such challenge as it focuses on extracting knowledge from data despite the complexity of the system in question. In this thesis, wind speed from a complex terrain was subject to a study from a perspective of dynamical systems and in pure data-driven approach. Pointedly, the Hankel Alternative View of the Koopman Analysis (HAVOK) was used to make a dynamical model out of time-delay coordinates. HAVOK is a universal and data-driven decomposition of chaotic time series into an intermittently forced linear dynamical model. Recently, such approach has been improved with the name of Structured HAVOK (sHAVOK) to make a more accurate model. To do so, a unique and single time series was assessed from averaging hourly-taken measurements from met-masts installed in Mesa Sur, thus making a system to make the dynamical model. Fourier filtering via Fast Fourier Transformation was then used to denoise the time series in four different stages. The first study of this thesis consisted of comparing HAVOK and sHAVOK with different training set proportions at four different levels of filtering considering that the forcing term of the dynamical system is known. Conversely, in the second part of this thesis, the forcing term is not assumed to be known and such term is fitted through Fourier series to make future wind speed measurements, considering the highest level of denoising. This strategy resulted in a good prediction for the first trajectory and wind speed only at first stage of denoising, while fell behind on the remaining stages.