Stochastic approach to control of storage stocks in commercial warehouses

Stochastic programming is an approach for modeling optimization problems that involve uncertainty. Whereas deterministic optimization problems are formulated with known parameters, real world problems almost invariably include parameters which are unknown at the time a decision should be made. When...

Full description

Saved in:
Bibliographic Details
Main Authors: Popov, Stoyan, Baeva, Silvia, Marinova, Daniela
Format: Conference Proceeding
Language:English
Subjects:
Mathematical models
Optimization
Parameter uncertainty
Random variables
Warehouses
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Stochastic programming is an approach for modeling optimization problems that involve uncertainty. Whereas deterministic optimization problems are formulated with known parameters, real world problems almost invariably include parameters which are unknown at the time a decision should be made. When the parameters are uncertain, but assumed to lie in some given set of possible values, one might seek a solution that is feasible for all possible parameter choices and optimizes a given objective function. Such an approach is applied to mathematical model of optimization problem for storage stocks in commercial warehouses. Here probability distributions (e.g., of demand) could be estimated from data that have been collected over time. The aim is to find some policy that is feasible for all (or almost all) the possible parameter realizations and optimizes the expectation of some function of the decisions and the random variables.
ISSN:0094-243X
1551-7616
DOI:10.1063/1.5133573