Browsing by Subject "INDUSTRIAL PRODUCTION"

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Un algoritmo genético híbrido y un enfriamiento simulado para solucionar el problema de programación de pedidos Job Shop

Meisel-Donoso, José David; Prado, L. K. (Liliana Katherine) (Fondo Editorial EIA, 2013-12-17)

Job Shop Scheduling Problem (JSP), classified as NP-Hard, has been a challenge for the scientific community because achieving an optimal solution to this problem is complicated as it grows in number of machines and jobs. ...
Desarrollo e implementación de un modelo de teoría de restricciones para sincronizar las operaciones en la cadena de suministro

Marín-Marín, W. (William); Gutiérrez-Gutierrez, E. V. (Elena Valentina) (Fondo Editorial EIA, 2013-10-23)

This paper presents a methodological and practical proposal to synchronize the logistic operations and decisions in a Colombian ceramic tile supply chain. For doing so, we used two tools from the Theory of Constraints ...
Modelos de sistemas MRP cerrados integrando incertidumbre

Arango-Serna, Martín Darío; Cano, J. A. (Jose Alejandro); Álvarez, K. C. (Karla Cristina) (Fondo Editorial EIA, 2013-11-06)

In this paper, we present four models of uncertainty in the MRP closed systems in the production components, such as: manufacturing capacity of each product, delivery time and inventory availability. These parameters are ...

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Un algoritmo genético híbrido y un enfriamiento simulado para solucionar el problema de programación de pedidos Job Shop
...
Meisel-Donoso, José David | 2013-12-17

Job Shop Scheduling Problem (JSP), classified as NP-Hard, has been a challenge for the scientific community because achieving an optimal solution to this problem is complicated as it grows in number of machines and jobs. Numerous techniques, including metaheuristics, have been used for its solution; however, the efficiency of the techniques, in terms of computational time, has not been very satisfactory. Because of this and for contributing to the solution of this problem, a simulated annealing (SA) and an improved genetic algorithm (IGA) have been proposed. The latter, by implementing a strategy of simulated annealing in the mutation phase, allows the algorithm to enhance and diversify the solutions at the same time, in order not to converge prematurely to a local optimum. The results showed that the proposed algorithms yield good results with deviations around the best values found not exceeding 5 % for more complex problems.

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Desarrollo e implementación de un modelo de teoría de restricciones para sincronizar las operaciones en la cadena de suministro
...
Marín-Marín, W. (William) | 2013-10-23

This paper presents a methodological and practical proposal to synchronize the logistic operations and decisions in a Colombian ceramic tile supply chain. For doing so, we used two tools from the Theory of Constraints methodology (TOC): the first one refers to the operations synchronization along the supply chain through the so-called method Drum-Buffer-Rope; the second one refers to the development of an accounting tool that allows improving the decision making for each member of the supply chain (Throughput Accounting). The results of the implementation show that an integral analysis of the supply chain could improve the global performance metrics such as service level, production plans fulfillment, inventory costs of raw materials and finished goods, and the company productivity.

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Modelos de sistemas MRP cerrados integrando incertidumbre
...
Arango-Serna, Martín Darío | 2013-11-06

In this paper, we present four models of uncertainty in the MRP closed systems in the production components, such as: manufacturing capacity of each product, delivery time and inventory availability. These parameters are processed by the fuzzy logic by modeling an MRP closed system deterministic. Therefore, three models are initially MRP closed system, where each independently consider uncertain ty in capacity, delivery time and inventory availability. Also, we present a fourth model of MRP closed system jointly analyzes the uncertainty in the three parameters mentioned above. Each of these models is corroborated with information from a company in the Colombian electricity area, evaluating the total cost of the production plan, inventory levels, service level and computational complexity.

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Biblioteca EIA
Repositorio Institucional
"Ciencia, Innovación y Cultura"

Browsing by Subject "INDUSTRIAL PRODUCTION"

Un algoritmo genético híbrido y un enfriamiento simulado para solucionar el problema de programación de pedidos Job Shop

Desarrollo e implementación de un modelo de teoría de restricciones para sincronizar las operaciones en la cadena de suministro

Modelos de sistemas MRP cerrados integrando incertidumbre

Envíos recientes

Un algoritmo genético híbrido y un enfriamiento simulado para solucionar el problema de programación de pedidos Job Shop

Desarrollo e implementación de un modelo de teoría de restricciones para sincronizar las operaciones en la cadena de suministro

Modelos de sistemas MRP cerrados integrando incertidumbre

Biblioteca Universidad Escuela Ingenieros de Antioquia

Browsing by Subject "INDUSTRIAL PRODUCTION"

Un algoritmo genético híbrido y un enfriamiento simulado para solucionar el problema de programación de pedidos Job Shop ﻿

Desarrollo e implementación de un modelo de teoría de restricciones para sincronizar las operaciones en la cadena de suministro ﻿

Modelos de sistemas MRP cerrados integrando incertidumbre ﻿

Envíos recientes

Un algoritmo genético híbrido y un enfriamiento simulado para solucionar el problema de programación de pedidos Job Shop

Desarrollo e implementación de un modelo de teoría de restricciones para sincronizar las operaciones en la cadena de suministro

Modelos de sistemas MRP cerrados integrando incertidumbre

Biblioteca Universidad Escuela Ingenieros de Antioquia

Un algoritmo genético híbrido y un enfriamiento simulado para solucionar el problema de programación de pedidos Job Shop

Desarrollo e implementación de un modelo de teoría de restricciones para sincronizar las operaciones en la cadena de suministro

Modelos de sistemas MRP cerrados integrando incertidumbre