Name
Abstract | ||
|---|---|---|
Simulation is often used for the evaluation of a Master Production Schedule (MPS). Also, the goal of this paper is the study of the design of a simulation model by reducing its complexity. According to theory of constraints, we want to build reduced models composed exclusively by bottleneck and, in order to do that, a neural network, particularly a multilayer perceptron, is used. Moreover, the structure of the network is determined by using a pruning procedure. This approach is applied to a sawmill flow shop case. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/UKSIM.2008.73 | UKSim |
Keywords | Field | DocType |
job shop scheduling,supply chains,manufacturing,neural networks,simulation,multilayer perceptron,computer simulation,simulation model,neural network,computational modeling,theory of constraints | Bottleneck,Computer science,Network simulation,Control engineering,Multilayer perceptron,Theory of constraints,Master production schedule,Artificial intelligence,Artificial neural network,Mathematical optimization,Job shop scheduling,Flow shop scheduling,Machine learning | Conference |
ISSN | Citations | PageRank |
2381-4772 | 3 | 0.40 |
References | Authors | |
10 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| P. Thomas | 1 | 78 | 12.59 |
| Denise Choffel | 2 | 5 | 0.85 |
| André Thomas | 3 | 111 | 21.26 |