EconPapers    
Economics at your fingertips  
 

Chance-Constrained Generalized Networks

A. Charnes, M. Kirby and W. Raike
Additional contact information
A. Charnes: Northwestern University, Evanston, Illinois
M. Kirby: Northwestern University, Evanston, Illinois
W. Raike: Northwestern University, Evanston, Illinois

Operations Research, 1966, vol. 14, issue 6, 1113-1120

Abstract: An extension to the theory of linear programming over generalized networks is presented which replaces the generalized Kirchoff node conditions by chance constraints. The extension is motivated by a class of problems in sanitary and chemical engineering in which the nonzero entries in the generalized incidence matrix may be random variables. Duality relations are established for appropriate pairs of such chance-constrained programming problems by showing that their deterministic equivalents consist of a deterministic generalized network problem and its dual. It is also shown how these duality relations may be exploited in order to obtain actual solutions to chance-constrained generalized network problems.

Date: 1966
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/opre.14.6.1113 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:14:y:1966:i:6:p:1113-1120

Access Statistics for this article

More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-03-19
Handle: RePEc:inm:oropre:v:14:y:1966:i:6:p:1113-1120