Abstract
We study the control of a Brownian motion (BM) with a negative drift, so as to minimize a long-run average cost objective. We show the optimality of a class of reflection controls that prevent the BM from dropping below some negative level r, by cancelling out from time to time part of the negative drift; and this optimality is established for any holding cost function h(x) that is increasing in x ≥ 0 and decreasing in x ≤ 0. Furthermore, we show the optimal reflection level can be derived as the fixed point that equates the long-run average cost to the holding cost. We also show the asymptotic optimality of this reflection control when it is applied to production-inventory systems driven by discrete counting processes.
Original language | English |
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Pages (from-to) | 180-183 |
Number of pages | 4 |
Journal | Performance Evaluation Review |
Volume | 45 |
Issue number | 3 |
DOIs | |
Publication status | Published - 20 Mar 2018 |
Event | 35th IFIP International Symposium on Computer Performance, Modeling, Measurements and Evaluation, IFIP WG 7.3 Performance 2017 - Columbia University, New York, United States Duration: 13 Nov 2017 → 17 Nov 2017 |
ASJC Scopus subject areas
- Software
- Hardware and Architecture
- Computer Networks and Communications