For a queueing system, design deals with the permanent, optimal setting of system parameters (such as service rate and/or number of servers), while control deals with adjusting system parameters as the system evolves to ensure certain performance levels are met. A typical example of a control rule is that a server is to be added when the queue size is greater than a certain number (say N 1) and when the queue size drops down to N 2 < N 1, the server goes to other duties. Dynamic programming; Markov decision processes; Queueing theory.
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© 2001 Kluwer Academic Publishers
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Gass, S.I., Harris, C.M. (2001). Design and control . In: Gass, S.I., Harris, C.M. (eds) Encyclopedia of Operations Research and Management Science. Springer, New York, NY. https://doi.org/10.1007/1-4020-0611-X_234
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DOI: https://doi.org/10.1007/1-4020-0611-X_234
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