Arrangement Increasing Resource Allocation

Qi Feng () and J. George Shanthikumar
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Qi Feng: Purdue University
J. George Shanthikumar: Purdue University

Methodology and Computing in Applied Probability, 2018, vol. 20, issue 3, 935-955

Abstract: Abstract Consider a system composed of several units. The performance of each unit can be affected by providing a portion of a limited amount of costly resources available. An allocation of resources to a unit results in a unit’s response that depends on the level of resources allocated to it and some of its random parameters. In this paper we consider cases where each unit has one or two random parameters. The overall performance of the system is mapped by a function on the vector of responses generated by all the units in the system. Our interest is in identifying the conditions on the response function of the units, the system performance function and the random parameters under which the random system performance as a function of the resource allocation has stochastic arrangement increasing property. This allows one to substantially reduce the number of allocation that needs to be searched to identify an optimal allocation that maximizes the expected utility derived from the system response as a result of the resource allocation.

Keywords: Allocation; Arrangement increasing; Joint stochastic orders; Joint stochastic increasing vector; Stochastic functions; 60E15; 62E10; 90B05; 90B25 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11009-017-9580-5

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