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29th Annual Simulation Symposium (SS '96)
Scheduling analysis using discrete event simulation
New Orleans, LA
April 08-April 11
ISBN: 0-8186-7432-6
ASCII Text
x 
 
E.J. Williams, I. Ahitov, "Scheduling analysis using discrete event simulation," Simulation Symposium, Annual, pp. 148, 29th Annual Simulation Symposium (SS '96), 1996.
 
 
BibTex
x
 
@article{ 10.1109/SIMSYM.1996.492162,
author = {E.J. Williams and I. Ahitov},
title = {Scheduling analysis using discrete event simulation},
journal ={Simulation Symposium, Annual},
volume = {0},
year = {1996},
issn = {1080-241X},
pages = {148},
doi = {http://doi.ieeecomputersociety.org/10.1109/SIMSYM.1996.492162},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Simulation Symposium, Annual
TI - Scheduling analysis using discrete event simulation
SN - 1080-241X
SP
EP
A1 - E.J. Williams,
A1 - I. Ahitov,
PY - 1996
KW - scheduling; production control; discrete event simulation; planning; manufacturing data processing; scheduling analysis; discrete event simulation; production shop; macro planning level; product mix requirements adaptation; optimal in-process buffer sizing; throughput targets; proposals
VL - 0
JA - Simulation Symposium, Annual
ER -
 
E.J. Williams, Eng. Comput. Center, Ford Motor Co., Dearborn, MI, USA
I. Ahitov, Eng. Comput. Center, Ford Motor Co., Dearborn, MI, USA
Describes a production shop which needed to undertake schedule analyses at the macro level of planning and explain the methods of using simulation to obtain valid, credible schedule analyses quickly. After a discussion of the simulation model itself, we present actual simulation results and conclusions. These successful simulation results help the production shop attain nimble adaptation to product mix requirements, optimal in-process buffer sizing, and speedy combination of the ability to schedule proposals to meet throughput targets.
Index Terms:
scheduling; production control; discrete event simulation; planning; manufacturing data processing; scheduling analysis; discrete event simulation; production shop; macro planning level; product mix requirements adaptation; optimal in-process buffer sizing; throughput targets; proposals
Citation:
E.J. Williams, I. Ahitov, "Scheduling analysis using discrete event simulation," ss, pp.148, 29th Annual Simulation Symposium (SS '96), 1996
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