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Sensitivity Analysis in Linear Programming Models with Common Inputs
Author(s) -
Camm Jeffrey D.,
Burwell Timothy H.
Publication year - 1991
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1991.tb01278.x
Subject(s) - sensitivity (control systems) , computer science , linear programming , simple (philosophy) , aggregate (composite) , mathematical optimization , mathematics , algorithm , philosophy , materials science , epistemology , electronic engineering , engineering , composite material
The importance of sensitivity analysis information in linear programming has been stressed in the management science literature for some time. Indeed, Gal [3] has devoted an entire text to just this issue. Linear programs with common inputs (cost coefficients or right‐hand‐side values) present a problem in that classical sensitivity analysis does not allow for the simultaneous changes required to determine the sensitivity of these models to common inputs. We first survey the approaches previously developed for simultaneous‐change sensitivity analysis and cast them in the framework of the special common input case. These general techniques are compared to a simple aggregate variable technique that has not received attention in the literature.

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