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MANUPLAN: a precursor to simulation for complex manufacturing systems
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Source Winter Simulation Conference archive
Proceedings of the 17th conference on Winter simulation table of contents
San Francisco, California, United States
Pages: 411 - 420  
Year of Publication: 1985
ISBN:0-911801-07-3
Authors
Rajan Suri  Univ. of Wisconsin - Madison, Dept. of Industrial Engineering, Madison, WI
Gregory W. Diehl  Network Dynamics, Inc., 1218 Massachusetts Ave, Cambridge, MA
Sponsor
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 2,   Downloads (12 Months): 12,   Citation Count: 10
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abstract   references   cited by   collaborative colleagues  

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ABSTRACT

MANUPLAN is a tool for designing and analyzing manufacturing systems. In the early stages of manufacturing systems planning, it offers an efficient alternative to simulation modelling. MANUPLAN is based on a state-of-the-art analytical model. It is practical and easy to use, being simpler and quicker than simulations model. In a typical case, a system design that would have taken several weeks to evaluate using simulation was evaluated in under two days with MANUPLAN. Inputs to MANUPLAN are the basic system design data: information on part routing, equipment capacities and reliabilities, and production requirements. Outputs from MANUPLAN include part flow times, work-in-process levels, equipment utilizations, and production rates achieved. Each run by MANUPLAN takes only a few seconds. By changing the system design data, manufacturing designers can quickly understand the trade-offs between inventory levels, production requirements, flow times, and equipment reliabilities, for their system.


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
Suri, R. "Quantitative Techniques for Robotic Systems Analysis", Chapter in Handbook of Industrial Robotics, S.Y. Nor (ed.), John Wiley 1985.
 
2
Suri, R. "An Overview of Evaluative Models for Flexible Manufacturing Systems", Annals of Operations Research, to appear in 1985.
 
3
Henriksen~ J.O. and Craln, R.C., GPSS/H User's Manual, 2nd edition, Wolverine Software Corp., Anandale, VA, 1983.
 
4
Ho, Y.C., R. Suri, X.R. Cao, G.W. Diehl, J.W. Dille and M. Zazanis, "Optimization of Large Multiclass {Non- Product-Form) Queueing Networks Using Perturbation Analysis", Large Scale Systems Journal, Vol. 7, 165-180, 1984.
 
5
Suri, R. and J.W. Dille, "A Technique for On-line Sensitivity Analysis of Flexible Manufacturing Systems", Annals of Operations Research, 1985.
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9
Suri, R., and Diehl, G.W., "A Variable Buffer-slze Model and its Use in Analyzing Closed Queueing Networks With Blocking", to appear in 1986.
 
10
Buzacott, J.A., "Modelling Automated Manufacturing Systems", Proc. 1983 Fall lIE Conference, 34:1-348.
 
11
Solberg, J. J., "A Mathematical Model of Computerized Manufacturing Systems", Proceedings of the 4th International Conference on Production Research, Tokyo, Japan, 1977.
 
12
Stecke, K.E., "Production Planning Problems for Flexible Manufacturing Systems", Ph.D. Dissertation, School of Industrial Engineering, Purdue University, West Lafayette, Indiana, 1981.
 
13
Suri, R. , and Hildebrant, R. R., "Modelling Flexible Manufacturing Systems Using Mean-Value Analysis", SME Journal of Manufacturing Systems, Vol. 3, No. 1, 1984.
 
14
Little, J. D. C., "A Proof of the Queueing Formula L = A W", Operations Research, Vol. 9p 1961, pp. 383-387.
 
15
M. Reiser, "A Queueing Network Networks with Window Flow Control", IEEE Trans. Communic. COM-27, 8 (Aug. 1979), 1199-1209.
 
16
Koenigsberg, E., "Twenty Five Years of Cyclic Queues and Closed Queue Networks: A Review", Journal Opl. Res. Soc. 33, pp. 6;05-619, 1982.

CITED BY  10
Collaborative Colleagues:
Rajan Suri: colleagues
Gregory W. Diehl: colleagues