Modelo matemático para la optimización del plan maestro de producción para lácteos

Every day and with more frequency, the term industry 4.0 is heard, referring to the world is experiencing the fourth industrial revolution. Focusing on the concept of industry 4.0 speaks of a new way of understanding production systems and interconnecting them seeking automation, a priori, one might think that this change of automated machines to replace mechanical or manual tasks began more than 30 years ago. The meaning of this new revolution goes beyond automation; it is a digital integration or transformation. Industry 4.0 implements intelligent assistants who make optimal plan decisions while complying with restrictions and capacities. Real-time and virtual control tools provide information in seconds and improve the efficiency, responsiveness, and self-management of processes by integrating them collaboratively in favor of the human. Under this reality, the purpose of this article is addressed, developed in a crucial Ecuadorian company in the food sector, where a great opportunity has been identified to improve the current way in which the weekly production schedule of the pasta drying line is carried out. Automation and optimal planning are proposed as alternative solutions through the design and application of a mixed-integer linear programming mathematical model. Currently, the company carries out the planning of its weekly production manually, which causes inefficiency in the timely satisfaction of demand and cost overruns due to reprocessing and overstock of unrequested SKUs.Through the development of this tool, it is sought to optimize the correct use of the company's resources, minimizing the operating costs of production, considering the production capacity, the optimal sequence of tasks, and their restrictions to carry out the modeling.

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“…Las restricciones del modelo aplicado a este proceso de producción se describen a continuación [10], [11]:…”

Section: ) E Descripción De Las Restriccionesunclassified

Design of a Mathematical Model for the Production Sequencing of a Pasta Drying Line

Camacho¹,

Perea²,

Barcia³

et al. 2022

Proceedings of the 20th LACCEI International Multi-Conference for Engineering, Education and Technology: “Education, Research A

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“…La función objetivo está propuesta para minimizar la distancia recorrida por todas las rutas, se consideran que existen m rutas disponibles y n clientes. Aquí se suman todas las distancias ( ) entre los clientes y depósito y en la que existan conexiones ( ) en cada ruta r [9] y [10].…”

Section: Función Objetivo Y Restriccionesunclassified

Ruteo Vehicular con Ventanas de Tiempo Aplicando el Algoritmo Clarke & Wright para una Empresa de Insumos Médicos

Barcia¹,

Gutiérrez²,

Gonzalez³

2019

Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Industry, Innovation

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The company of the present study is an importer and marketer of medical supplies and equipment that contributes to the improvement of health care in the country, located in the city of Guayaquil where its distribution center is located to serve its customers nationwide. The company, did not have a tool that allows to plan the dispatch routes efficiently. The construction of routes was performed empirically considering the distances and time variables from one client to another, considering that most of the clients are public and private hospitals, clinics, as well as, medical centers, laboratories and health centers with different hours of service to suppliers. In this study, time windows were considered as vehicle routing variables, in which different clients can be attended, as well as traffic levels that were presented in certain sectors and at certain times. In addition, emphasis was placed on the analysis of the routing system that existed and an improved vehicle routing system was developed. The best solution that was adapted to the problem was the Vehicle Routing Problem (VRP) model with time windows applying the Clarke & Wright algorithm to minimize costs, distances, improve service quality and be more competitive.

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Modelo matemático para la optimización del plan maestro de producción para lácteos

Cited by 2 publications

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Design of a Mathematical Model for the Production Sequencing of a Pasta Drying Line

Design of a Mathematical Model for the Production Sequencing of a Pasta Drying Line

Ruteo Vehicular con Ventanas de Tiempo Aplicando el Algoritmo Clarke & Wright para una Empresa de Insumos Médicos

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