Quantitative Management: Integer Linear Programming

Overview/Description
This course aims to show how to construct linear programming models with general integer, binary, and mixed decision variables to solve a range of optimization problems

Target Audience
Analysts and business decision makers seeking competency in the area of quantitative management

Prerequisites
A general understanding of information systems and management principles, along with a grounding in calculus and algebra

Expected Duration
5:00 Hours

Objectives:

Quantitative Management: Integer Linear Programming

  • To formulate an integer linear programming (LP) model
  • To explain how to construct a binary integer programming model
  • To explain how to construct an integer programming model with dependent decisions
  • To explain how to construct an integer programming (IP) model for a problem with fixed costs
  • To practice formulating, solving, and interpreting a mixed integer linear programming model


    • Course Number: KQM25SE