Accession Number:

ADA059859

Title:

Linear Decision Models Under Risk.

Descriptive Note:

Research rept.,

Corporate Author:

CALIFORNIA UNIV BERKELEY OPERATIONS RESEARCH CENTER

Personal Author(s):

Report Date:

1978-04-01

Pagination or Media Count:

131.0

Abstract:

The assumption made in linear programming that the components are Deterministic constant numbers is rarely fulfilled in practical applications. This has led to the development of the field of stochastic programming where the random aspect of the coefficients in the objective function, technology matrix, and the vector of resources are taken into account. This research investigates the problem of a linear program with uncertainty attached to the decision vector. For example, a decision to order a certain amount of a perishable good might yield variable amounts of this good at delivery due to spoilage.

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE