Linear Programming


The framework of linear programming (LP), modeling examples. Graphical method. The simplex algorithm. Tableau implementation. Duality and dual simplex method. Sensitivity analysis. Parametric programming. Robustness. Integer LP. Special LP problems. Introduction to multiobjective LP. Case studies.

Objectives

Understanding basic optimization tools and techniques, Use of optimization software, Modeling real world problems

Prerequisites

Algebra, Methodology of operations research

Syllabus

The framework of linear programming (LP), modeling examples. Graphical method. The simplex algorithm. Tableau implementation. Duality and dual simplex method. Sensitivity analysis. Parametric programming. Robustness. Integer LP. Special LP problems. Introduction to multiobjective LP. Case studies.

COURSE DETAILS

Level:

Type:

undergraduate

(A-)

Instructors: Michael Doumpos
Department: School of Production Engineering and Management
Institution: Technical University of Crete
Subject: Engineering Economics and Management
Rights:

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