Examinando por Materia "DDMRP"
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Ítem Hybrid algorithm based on Reinforcement Learning and DDMRP methodology for inventory management(Universidad EAFIT, 2021) Cuartas Murillo, Carlos Andrés; Aguilar, José Lisandro; Aguilar, José LisandroThis article proposes a hybrid algorithm based on Reinforcement Learning and on the inventory management methodology called DDMRP (Demand Driven Material Requirement Planning) to determine the optimal time to buy a certain product, and how much quantity should be requested. For this, the inventory management problem is formulated as a Markov Decision Process where the environment with which the system interacts is designed from the concepts raised in the DDMRP methodology, and through the Reinforcement Learning algorithm – specifically, Q-Learning. The optimal policy is determined for making decisions about when and how much to buy. To determine the optimal policy, three approaches are proposed for the reward function: the first one is based on inventory levels; the second is an optimization function based on the distance of the inventory to its optimal level, and the third is a shaping function based on levels and distances to the optimal inventory. The results show that the proposed algorithm has promising results in scenarios with different characteristics, performing adequately in difficult case studies with a diversity of situations such as scenarios with discontinuous or continuous demand, seasonal and non-seasonal behavior with high demand peaks, multiple lead times, among others.Ítem Marco de referencia para la implementación de DDMRP en la planta de Non Stick GSA(Universidad EAFIT, 2019) Builes Henao, Jose Luis; Castro Zuluaga, Carlos AlbertoÍtem Modelo de excelencia operacional sector industrial colombiano(Universidad EAFIT, 2024) Ochoa Naranjo, Juan Esteban; Ramírez Echeverri, Sergio Augusto; Ramírez Echeverri, Sergio AugustoOperational excellence models have been implemented by various companies worldwide to guide their organizational procedures, to be able to last over time and guarantee their profitability. For the Colombian case, no model of this type has been documented to promote operational excellence in national companies, this work seeks to carry out a bibliographic review on the relevant models of operational excellence in the industry and supported by the judgment of experts, to develop a reference model for the search for operational excellence, presenting companies with a model with their respective improvement tools and indicators, on which they must work to focus on the company's overall results, seeking to maximize sales and not on local efficiencies, allowing them to look at the organization with a holistic approach and understand the relationships between the different areas and how they work generate synergies in the organization to achieve the main objective of every company: to generate greater profitability through sales. Here we will make a compilation of the different models most used nationally and internationally, which will allow us to make a tool that allows companies to identify the current position of their strategic state. This model will also be used as a diagnostic and evaluation tool to review the degree of maturity that a company has around the search for operational excellence, where opportunities for improvement will be found and, how to iterate on the model and generate systematic continuous improvement for companies in the industrial sector in Colombia.