One of the main problems faced by manufacturing companies in the production sequencing, also called scheduling, which consists of identifying the best way to order the production program on the machines for improving efficiency. This paper presents the integration of a simulation model with an optimization method to solve the problem of dynamic programming with stochastic demand
The stochastic job shop problem was solved using two genetic algorithms. The first was a stochastic ...
This paper presents a genetic algorithm solution for the parallel machine scheduling problems with a...
Search strategies have been used to solve the problem of scheduling of Manufacturing Systems with Sh...
Die Optimierung der Auftragsterminierung und Einsteuerungsreihenfolge hat großen Einfluss auf die Pr...
In this work the authors addresses the problem of sequencing a set of jobs on a single machine using...
Production scheduling and job sequencing can be a complex problem especially with multiple machines ...
Production scheduling has attracted the interest of production economics communities for d...
Mainly in industrial production companies and those that provide maintenance services to machinery, ...
The thesis deals with the scheduling problem of manufacturing operations in industrial production. T...
This work was aimed for developing computational intelligence for scheduling a manufacturing cell's ...
El artículo propone, un algoritmo genético para solucionar óptimamente el problema de la programació...
A Job Shop Problem (JSP) may be considered a hard combinatorial optimization problem. Although the v...
Resource constrained project scheduling problems are very difficult to solve to optimality. Because ...
En este estudio se propone e implementa computacionalmente un algoritmo genético secuencial para res...
The Job Shop scheduling problem is widely used in industry and has been the subject of study by seve...
The stochastic job shop problem was solved using two genetic algorithms. The first was a stochastic ...
This paper presents a genetic algorithm solution for the parallel machine scheduling problems with a...
Search strategies have been used to solve the problem of scheduling of Manufacturing Systems with Sh...
Die Optimierung der Auftragsterminierung und Einsteuerungsreihenfolge hat großen Einfluss auf die Pr...
In this work the authors addresses the problem of sequencing a set of jobs on a single machine using...
Production scheduling and job sequencing can be a complex problem especially with multiple machines ...
Production scheduling has attracted the interest of production economics communities for d...
Mainly in industrial production companies and those that provide maintenance services to machinery, ...
The thesis deals with the scheduling problem of manufacturing operations in industrial production. T...
This work was aimed for developing computational intelligence for scheduling a manufacturing cell's ...
El artículo propone, un algoritmo genético para solucionar óptimamente el problema de la programació...
A Job Shop Problem (JSP) may be considered a hard combinatorial optimization problem. Although the v...
Resource constrained project scheduling problems are very difficult to solve to optimality. Because ...
En este estudio se propone e implementa computacionalmente un algoritmo genético secuencial para res...
The Job Shop scheduling problem is widely used in industry and has been the subject of study by seve...
The stochastic job shop problem was solved using two genetic algorithms. The first was a stochastic ...
This paper presents a genetic algorithm solution for the parallel machine scheduling problems with a...
Search strategies have been used to solve the problem of scheduling of Manufacturing Systems with Sh...