[email protected] +92-22-2771247
Support IE&M
INM710

Operations Management

Course ID
INM710
Department
Industrial Engineering & Management
Level
Postgraduate
Instructor
Dr. Muhammad Saad Memon, Dr. Sonia Irshad Mari
Semester
3rd Semester
Credit
3.0

After completion of this course each student would be able to:

  • Design mathematical models for business problems in industrial engineering
  • Apply linear programming and multi objective optimization techniques to solve business problems
  • Resolve business optimization problem such transportation, human resource, and maximum flow problems
  • Solve optimization problem using QM for Window, Lingo and Anylogic software

The Operations Management is a compulsory course and has been offered by the Department of Industrial Engineering and Management.

Download Syllabus

Course Learning Outcomes

Aim:        To learn optimization techniques to solve complex business problems

 Objectives: After completing this course, the student will be able to:

  1. Design mathematical models for business problems in industrial engineering
  2. Apply linear programming and multi objective optimization techniques to solve business problems
  3. Resolve business optimization problem such transportation, human resource, and maximum flow problems
  4. Solve optimization problem using Excel, QM for Window and Lingo software

Course structure and modules

CONTENTS:

 

Optimization Approaches and problem Solving

Steps involved in Problem solving: Observation, Problem Definition, Model Construction, Model Solution, and Implementation, Linear Mathematical Programming Techniques, Probabilistic Techniques, Network Techniques, and Multi Criteria decision making.

Linear and Integer Linear Programming Modeling and Solution

Linear Programing Model formulation and solution, product mix problem, Facility location problem, Make or Buy decisions, Production Scheduling, solve linear problem case studies using Excel and Lingo software

Distribution and Network Models

Transportation problem, Assignment problem, Transshipment problems, Shortest-route problem, Maximal flow problem,

Time Series Analysis and Forecasting

Forecasting introduction, Time series patterns, Moving Averages, Weighted Moving Averages, Exponential Smoothing, Seasonality Without Trend, Seasonality and Trend.

Multicriteria Decision models

Goal programming formulation and solution, analytic hierarchy process (AHP), establishing priorities using AHP.

Recommended Books

  1. Bernard W. Taylor III, Introduction to Management Science, Pearson, Latest Edition
  2. Wayne L. Winston, Operations Research: Applications and Algorithms, Duxbury Press, Latest Edition
  3. Cliff Ragsdale, Spreadsheet Modeling and Decision Analysis: A Practical Introduction to Business Analytics, South-Western College Pub, Latest Edition.
  4. Anderson, David R., Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, and James J. Cochran. An Introduction to Management Science: Quantitative Approaches to Decision Making. Cengage learning, Latest Edition

Software

Analogic software will be used to analyze various issues related to supply chain system design.

Download the software here