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                                       Details for article 11 of 13 found articles
 
 
  On A Stochastic Multi-Facility Location Problem
 
 
Title: On A Stochastic Multi-Facility Location Problem
Author: Seppala, Yrjo
Appeared in: IIE transactions
Paging: Volume 7 (1975) nr. 1 pages 56-62
Year: 1975-03-01
Contents: This paper first discusses randomness in industrial multi-facility location problems. Different kinds of optimization criteria are then described for a stochastic location problem and the fractile approach is chosen. Seppala's “Chance-Constrained Programming Algorithm” is used to solve the stochastic multi-facility location problems, where transportation costs are random variables and distances between facilities are Euclidean. The covariance matrix of the problem is defined by weighting two extreme cases, where in one case the random cost variables are totally correlated and in another case they are distributed independently of one another. Finally a numerical example is presented and solved. The solutions of deterministic and stochastic versions of multi-facility problems differ greatly from one another.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 11 of 13 found articles
 
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