Course Code & Number
BA 477
Course Title
Inventory Management
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 6 ECTS Credits
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: BA 305
Co-requisites: NONE
Catalog Description
Fundamental inventory planning. Control facilities in manufacturing and service firms. Inventory classification methods. Basic deterministic and probabilistic inventory planning methods. Software packages and computer-simulation games.
Course Objectives
The main aim of this course is to introduce the components of an inventory system and the principles of inventory management. The students will learn to analyze the inventory problems in the context of supply chain systems and use statistical modeling to model and solve these problems. Many cases will be discussed and analyzed.
Software Usage
Students will use linear and integer programming software such as Lindo, Gams, Cplex to work on their weekly assignments about 2 hours a week.
Course Learning Outcomes
Upon succesful completion of this course, a student will be able to
1. Discover inventory management, its importance for competitive advantage
2. Define the importance of information collection, analysis and sharing
3. Identify the inventory problems in a supply chain and importance of global optimization
4. Develop the ability to apply statistical modeling for real life problems
5. Assess the importance of information systems and software usage for competitiveness
Learning Activities and Teaching Methods:
Telling/Explaining
Discussion/Debate
Questioning
Reading
Demonstrating
Problem Solving
Inquiry
Collaborating
Think-Pair-Share
Predict-Observe-Explain
Case Study/Scenarion Analysis
Simulation & Games
Assessment Methods and Criteria:
Test / Exam
Quiz
Case Studies / Homework
Assessment Methods and Criteria Others:
Recommended Reading
1. Production Planning, Control and Integration, D. Sipper and R.L. Buffin, Mc Graw Hill, 1997.
Required Reading
1. Inventory Management, Production Planning and Scheduling, E. Silver, D. Pyke, and R. Peterson, John Wiley and Sons, 1998.
Learning Activities and Teaching Methods Others:
Student Workload:
| Workload |
Hrs |
| Case Study Analysis |
45 |
Course & Program Learning Outcome Matching:
