ISS 500E - Quantitative Decision Techniques

Course Objectives

Course aims to
1. teach quantitative decision techniques and the application of these techniques.
2. provide a scientific and managerial perspective for model building, solving, and analyzing the real life problems in both manufacturing and service sectors.

Course Description

Introduction to quantitive analysis (QA), introduction to lineer programming (LP), basic definitions, assumptions and forms of LP, formulating LP problems, graphical solution of LP, the Simplex Method, the Big M Method, economic interpretation of simplex table, sensivity analysis, economic interpretation of dual problems, computer appplications, transportation models: introduction, balanced and unbalanced transportation models, improved starting solution of transportation problems, solution techniques of transportation models, assignment and transshipment models, goal programming, data envelopment analysis, Analytic Hierarchy Process, decision theory, presentation of projects.