Artificial neural networks for job shop simulation

Advanced Engineering Informatics

Volumn 16, Issue 4, 2002, Pages 241-246

  Fonseca, Daniel J ^a   Navaresse, Daniel ^a  

^a The University of Alabama   (United States)

Author keywords

Artificial neural networks; Job shop simulation; Manufacturing lead time; Metamodeling

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; FEEDFORWARD NEURAL NETWORKS; MANUFACTURE; RANDOM PROCESSES; SCHEDULING;

JOB SHOP SIMULATION;

MULTILAYER NEURAL NETWORKS;

EID: 0042430207     PISSN: 14740346     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1474-0346(03)00005-3     Document Type: Article

References (16)

1. Askin R, Standridge C. Modeling and analysis of manufacturing systems. New York: Wiley; 1993.
2. Badiru A, Sieger D. Neural network as a simulation metamodel in economic analysis of risky projects. Eur J Oper Res 1998;105:130-42.
3. Dempster M, Lenstra J, Kan R. Deterministic and stochastic scheduling: introduction. Proceedings of the NATO Advanced Study and Research Institute on Theoretical Approaches to Scheduling Problems; 1981. p. 3-14.
4. Funahashi K. On the approximate realization of continuous mappings by neural networks. Neural Netw 1989;2:183-92.
5. Haykin S. Neural networks. New Jersey: Prentice-Hall; 1999.
6. Hornik K, Stinchcombe M, White H. Multilayer feedforward networks are universal approximators. Neural Netw 1989;2:359-66.
7. Jones A, Rabelo L. Survey of job shop scheduling techniques. Gaithersburg, MD: NISTR, National Institute of Standards and Technology; 1998.
8. Kilmer R. Artificial neural network metamodels. PhD Dissertation, University of Pittsburgh; 1994
9. Kilmer R, Smith A, Shuman L. An emergency department simulation and a neural network metamodel. J Soc Health Syst 1997;5(3):63-79.
10. Kilmer R, Smith A, Shuman L. Computing confidence intervals for stochastic simulation using neural network metamodels. Comput Ind Engng 1999:36:391-407.
11. Lawrence J. Data preparation for a neural network. AI Expert 1991;11:34-41.
12. Lawrence J. Introduction to neural networks. Design, theory, and applications. Nevada City, CA: California Scientific Software; 1994.
13. Medsker L, Liebowitz J. Design and development of expert systems and neural networks. New York: Macmillan College Publishing Company; 1994.
14. Pegden C, Shannon R, Sadowsky R. Introduction to simulation using SIMAN. Blacklick, OH: McGraw and Hill; 1995.
15. Pierreval H. Training a neural network by simulation for dispatching problems. Proceedings of the Third Rensselaer International Conference on Computer Integrated Engineering; 1992. p. 332-6.
16. Schelasin R, Mauer J. Creating flexible simulation models. IEE Solutions 1995:5:50-67.