Title
Capacity expansion under stochastic demands
Abstract
We consider the problem of optimally meeting a stochastically growing demand for capacity over an infinite horizon. Under the assumption that demand for product follows either a nonlinear Brownian motion or a non-Markovian birth and death process, we show that this stochastic problem can be transformed into an equivalent deterministic problem. Consistent with earlier work by A. Manne, the equivalent problem is formed by replacing the stochastic demand by its deterministic trend and discounting all costs by a new interest rate that is smaller than the original, in approximate proportion to the uncertainty in the demand.
Year
DOI
Venue
1992
10.1287/opre.40.3.S210
Operations Research
Field
DocType
Volume
Mathematical optimization,Nonlinear system,Discounting,Birth–death process,Interest rate,Infinite horizon,Deterministic system,Brownian motion,Stochastic programming,Operations management,Mathematics
Journal
40
Issue
ISSN
Citations 
S2
0030-364X
24
PageRank 
References 
Authors
7.03
1
3
Name
Order
Citations
PageRank
James C. Bean158161.70
Julia L. Higle238750.58
Robert L. Smith3664123.86