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.
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- Impact of Industry 4.0 on Small and Medium Enterprises: Evaluation of Maturity Indices and Implementation Methodologies(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-12-11) Delgado González, Jessica; Román Flores, Armando; emimmayorquin; Cuan Urquizo, Enrique; School of Engineering and Sciences; Campus Monterrey; Vázquez Hurtado, CarlosThe digital transformation driven by Industry 4.0 technologies is reshaping global economic and business paradigms. Small and medium-sized enterprises (SMEs) in Mexico, which represent 99.8% of the country's economic units and contribute over 52% to its GDP, face significant barriers such as limited financial resources, technological gaps, and cultural resistance. These constraints, highlighted in recent studies, underscore the need for tailored tools to support their digitalization efforts. This thesis develops a digital maturity model specifically adapted to Mexican SMEs, integrating practical tools such as an assessment framework and a step-by-step action plan. The study begins by analyzing the theoretical foundations of Industry 4.0 and existing digital maturity models while addressing challenges unique to SMEs. Building on this foundation, the proposed model evaluates SMEs' current digital maturity and provides actionable recommendations through a simulation applied to a representative SME. The results demonstrate the model’s utility in identifying areas for improvement, fostering innovation, and enhancing competitiveness and sustainability in a globalized market. This work contributes academically by adapting global models to local contexts and practically by offering a replicable framework to bridge the digital divide in this critical economic sector.
- Quality 4.0 methodology for manufacturing processes(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-12-03) Macias Arregoyta, Daniela; Morales Menéndez, Rubén; emipsanchez; Vázquez Lepe, Elisa Virginia; School of Engineering and Sciences; Rectoría Tec de Monterrey; Escobar Díaz, Carlos A.In this work, the pathway for the implementation of Quality 4.0 is reviewed. Several articles are written to detail the evolution from the execution of Six sigma DMAIC methodology and how it can be adapted to the use of AI to create smart factories and smart processes. The main objective is to expand the current conformance rate of this methodology and find the defective items that can be overlooked in manufacturing processes. This research ranges from the selection of the data to train the available models, how can it be corrected and improved, the different processes to handle real-world data sets, the use of different ML algorithms for data analysis, the adaptation of this MLAs to quality standards in Quality 4.0 practices, to the curricular needs for Quality 4.0 for problem solving replacing Six Sigma practices. This thesis will focus only on the description of the decay of the Six Sigma DMAIC paradigm and its evolution to Quality 4.0, and the Process Monitoring for Quality methodology for rare event detection, which are the most noted journal papers in which I could collaborate.
- The augmented robotic cell: design and implementation of a testing cell that incorporates mixed reality and iot(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2022-06-20) Tavares Rodríguez, José Alberto; TAVARES RODRIGUEZ, JOSE ALBERTO; 835771; Urbina Coronado, Pedro Daniel; puelquio/mscuervo; Orta Castañón, Pedro; Ahuett Garza, Horacio; Escuela de Ingeniería y Ciencias; Campus MonterreyMixed Reality (MR) has the potential to be one of the key technologies aligned with the Industry 4.0 principles that many companies around the world are adopting. This technology, combined with the Internet of Things and the enhanced capabilities introduced by the Cyber-Physical Systems, can contribute to building a collaborative industrial environment. The integration of these concepts represents a new tool to improve and accelerate human-machine communication through digitalization and the connectivity between devices. Currently, many of the equipment employed within the Manufacturing Industry demand a minimum level of knowledge and experience for them to be used. In some cases, this can lead to the specialization of workers, which can have some advantages like reducing human error and operation time. However, this can also decrease the worker’s flexibility for performing different tasks or using other equipment than the ones it is used to. Besides, the learning process is commonly time-consuming and costly, and the risk of errors is not entirely eradicated. MR technologies, especially Augmented Reality (AR), can solve this issue by creating a virtual environment that can be used for training purposes or guidance while performing different tasks. AR makes it possible to merge the real world with the digital world, providing digital tools that enhance the visualization of valuable and easy-to-understand information in real-time. This can provide feedback to the user so the process can be better understood and help identifying possible improvements and failures while ensuring a safer environment for the worker. Although being a technology with many possible benefits, it is relatively new and comes with limitations that are yet to be overcome before being fully exploited. Therefore, it is crucial to study the current state of this technology in terms of capabilities, the feasibility of its integration for industrial applications, and the expected performance in this environment. This research work aims to implement an Augmented Robotic Cell that integrates AR technology with IoT. The system is used to test a 3D printed Compliant Mechanism, obtain data from this process, and display important information in an MR environment in near real-time. The AR device is able to retrieve relevant information from the Physical System and display it to the user while allowing him to interact with it.
- Towards a digital twin by merging discrete event simulations, augmented reality and the internet of things(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-06-15) Valdivia Puga, José Abraham; URBINA CORONADO, PEDRO DANIEL; 298324; Urbina Coronado, Pedro Daniel; ilquio, emipsanchez; Ahuetl Garza, Horacio; Orta Castañón, Pedro Antonio; Escuela de Ingeniería y Ciencias; Campus MonterreyThis work presents the creation and implementation of an augmented reality system to a partial digital twin for a manufacturing process through the application of discrete event simulations, IoT tools and communication protocols in an industrial environment through a mobile app presentation. This approach will take a non-connected manufacturing process and adapt it to a smart factory environment creating an intercommunicated DES system with IoT and augmented reality capabilities. This approach was achieved using a real study case which consists in a machine generating items from a percentage of the input material while the rest of the material is stored in a recovery chamber to use it again in another item creation. This process was used as an example to create a partial digital twin and implement all the tools mentioned before. This work will allow to know all the process parameters, data related to the process like cycle time, number of pieces, time per process status, etc., this information will be used to create a system in which a real-time visualization of the process and its data can be performed through the use of augmented reality tools achieved by Unity 3D software. This approach will help to create a visualization for the partial digital twin, its process and results in a real context and even allow the user to modify its conditions before their implementation through a user interface, allowing to create an infrastructure that support different scenarios, process optimizations, and know possible future conditions.
- Online process monitoring using a multivariate CUSUM approach with winsorization(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-06-12) Márquez Alderete, María Fernanda; AHUETT GARZA, HORACIO; 120725; Ahuett Garza, Horacio; tolmquevedo, emipsanchez; Escuela de Ciencias e Ingeniería; Campus Monterrey; Tercero Gómez, Víctor GustavoWith the development of Industry 4.0 (I4.0), companies are transforming the way products are designed, manufactured and distributed. The application of new technologies in production and data acquisition exacerbates the need to foster quantitative approaches in the quality management of manufactured products, such as statistical process monitoring (SPM). A measuring system machine for evaluating die-casted workpieces was designed following the previous trend. This machine already applies part of the theoretical concepts of I4.0. The presented thesis complements the application of I4.0 concepts to the device, by using SPM methods, specifically, a multivariate CUSUM to assess small and sustained shifts; where winsorizing was used to create robustness over isolated changes that can be detected using complementing Shewhart-type charts. Additionally, an online dashboard was created to display the plotting statistics in real-time.
- Reference model and methodology to design sensing, smart, and sustainable medical devices(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-06-09) Gutierrez Olivares, Inti Rodrigo; MOLINA GUTIERREZ, ARTURO; 15309; GUTIERREZ OLIVARES, INTI RODRIGO; 834550; BALDERAS SILVA, DAVID CHRISTOPHER; 222222; PONCE CRUZ, PEDRO; 31857; Molina Gutierrez, Arturo; emipsanchez; Balderas Silva, David Christopher; School of Engineering and Sciences; Campus Ciudad de México; Ponce Cruz, PedroRecognizing the importance of health care, the dissertation presents the instantiation of a reference model and methodology to design the Sensing, Smart, and Sustainable S3 medical devices. The concept of Sensing Smart, and Sustainable is presented as a concept that satisfies the requirements of the new products, aligned with the trends of the Fourth Industrial Revolution (I4.0). New medical devices must be intelligent, patient-focused, flexible to world health changes, data-driven in order to support in the decision-making process such as diagnosis, connected and socioeconomically and environmentally sustainable. Although the integration gap between Life Cycle Engineering (LCE) and Health care is evident; models and methodologies currently applied in LCE can be turned over to medical devices. Moreover, the lack of health policy and management expertise in many countries has impeded progress in building sustainable medical devices. Hence, the intention of the presented project is to enable a model to guide the ideation, design and development of medical devices using the life cycle engineering principles. To support the medical devices development, an instantiated reference model and methodology is proposed based on the Integrated Product, Process and Manufacturing system Development (IPPMD); along with the best practices from World Health Organization (WHO) Research and Development Blue Print and the Biodesign “The Process of Innovating Medical Technologies” from Cambridge University. The reference model is applied in a case of study: through the application of the IPPMD in the development of an Analogous CPAP for COVID-19 ICU patients. Analysis of the results found the conclusion to further work on the IPPMD reference model and methodology to design the S3 Medical Devices.
