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Optimal Design of a Stochastic System with Dominating Fixed Costs**

Published online by Cambridge University Press:  19 October 2009

Satinder K. Mullick
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Extract

Executives in a wide variety of formal organizations frequently face decisions involving changes in capacity of service capabilities. Usually these changes mean increases in manpower and/or capital expenditures for new facilities, but due to seasonality, or a decline in business, a decision may also involve the determination of whether to reduce the available capacity. These decisions generally are made by comparing the cost (or savings, which is a negative cost) of changing the service capability with the corresponding costs or risks of not being able to properly meet service requirements. In this paper, the problem described is one in which services are provided, and the cost, or risk, of not being able to meet service requirements is expressed by means of a queuing equation.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 1 , Issue 3 , September 1966 , pp. 55 - 74
Copyright
Copyright © School of Business Administration, University of Washington 1966

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References

1.Cobham, Alan, “Priority Assignment in Waiting Line Problems,” Journal of the Operations Research Society of America, Vol. 2, No. 1, February, 1954, pp. 70–76.CrossRefGoogle Scholar
2.Hadley, G., Nonlinear and Dynamic Programming, Addison-Wesley Publishing Company, Inc., Reading, Massachusetts, 1964.Google Scholar
3.Hertz, David B., “Risk Analysis in Capital Investment,” Harvard Business Review, January–February, 1964.Google Scholar
4.IBM, General Purpose Systems Simulator II, Reference Manual, International Business Machines Corporation, Data Processing Division, White Plains, N.Y., B20–6346–1, 1963.Google Scholar
5.Morgenthaler, George W., “The Theory and Application of Simulation in Operations Research,” Progress in Operations Research, Vol. 1, Ackoff, Russell L., (ed.), John Wiley & Sons, Inc., New York, 1961.Google Scholar
6.Mullick, Satinder Kumar, Optimal Design of a Stochastic System with Dominating Fixed Costs, Doctor of Philosophy Dissertation, The Johns Hopkins University, Baltimore, 1965; University Microfilms, Inc., Ann Arbor, Michigan, order number 65–10, 449.Google Scholar
7.Mullick, Satinder Kumar, Optimal Design of a Stochastic System with Dominating Fixed Costs, The Milton S. Eisenhower Library of The Johns Hopkins University, Baltimore, Md.: Progress Report on an Operations Research and Systems Engineering Study, N.S.F. Grant GN–31, June 1965, pp. 41–110.Google Scholar
8.Phipps, Thomas E. Jr., “Machine Repair as a Priority Waiting-Line Problem,” Journal of the Operations Research Society of America, Vol. 4, No. 1, February 1956, pp. 76–85.CrossRefGoogle Scholar
9.Saaty, Thomas L., Elements of Queuing Theory with Applications, McGraw-Hill Book Inc., New York, 1961.Google Scholar
10.Shiskin, Julius, “Electronic Computers and Business Indicators,” Business Cycle Indicators, Vol. 1, Moore, Geoffrey H., (ed.), Princeton University Press, Princeton, 1961Google Scholar
11.Stigler, G. J., The Theory of Price, Macmillan, New York, 1952.Google Scholar