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Simulation and animation of the operation of a fast food restaurant
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Source Winter Simulation Conference archive
Proceedings of the 28th conference on Winter simulation table of contents
Coronado, California, United States
Pages: 1264 - 1271  
Year of Publication: 1996
ISBN:0-7803-3383-7
Authors
Kambiz Farahmand  Texas A&M University-Kingsville, Department of Mechanical & Industrial Engineering, Campus Box 191, Kingsville, Texas
Alejandro Francisco Garza Martinez  Components Mecanicos, De Matamoros, S.A. De C.V., P.O. Box 4447, Brownsville, Texas
Sponsors
INFORMS/CS : Computer Science TC
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
SCS : Society for Computer Simulation
ASA : American Statistical Association
NIST : National Institue of Standards & Technology
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
Publisher
IEEE Computer Society  Washington, DC, USA
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Downloads (6 Weeks): 15,   Downloads (12 Months): 94,   Citation Count: 2
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ABSTRACT

A model was developed for the Simulation and Animation of the Drive-Thru (DT) and the lobby sections of a fast food restaurant. A discrete, non continuous, parallel simulation of the operation using animation in the Witness environment has made it possible to utilize real time data or forecasted data to optimize scheduling and maximize operation efficiency. Performance measures such as the number of customers balking from the system, the average time each customer spends in the system, the average waiting time for the customers, the average queue length before and after placing an order, the average time to fill an order and even the average utilization of each employee could be determined. The results could serve as basis to provide recommendations on how to improve efficiency and throughput for the fastest growing industry and the largest employer in the US. The modeling methodology and the tracking mechanism could also prove useful for the manufacturing or other service industries employing similar queuing techniques.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
AT&T ISTEL. 1995. Introduction to Witness.
 
2
AT&T ISTEL. 1995. Witness Training Manual.
 
3
COLLINS, M.J. 1995. Benchmarking with simulation: how it can help your production operations. Production Journal, 50-52.
 
4
LENZ, J. and NEITZEL, R. 1995. Cost modeling: An effective means to compare alternatives. Journal of Industrial Engineering, 18-19.
 
5
 
6
SM:TH, D. J. 1994. Computer simulation applications in service operations. The Service Industries Journal, 395-408.

Collaborative Colleagues:
Kambiz Farahmand: colleagues
Alejandro Francisco Garza Martinez: colleagues