This course focuses on providing the students with a foundation in business analytics through extensive modeling. Students will be exposed to analytical models and solution methods for decision making related to transportation, assignment and network design. We will develop models using linear (including integer and mixed integer programming) and non-linear programming, and introduce solution methods such as stepping stone, maximal flow and shortest path. We will also touch upon decision making under uncertainty. We will focus on the application of these methods, not necessarily the theoretical underpinnings. Students will learn to address real supply chain problems using computer-based applications (Excel spreadsheets) and examples. This is a hands-on course where students will build and solve models during class and the tutorials.
This course contributes to multiple learning goals defined for the Masters in SCM learning outcomes relating to knowledge, skills and attitude. The knowledge goals relate to teaching the students about decision-making process, model formulation, solution methods and interpretation of model results. The skills which are taught are needed to develop and apply decision models for rigorous and fact-based decision making in various business contexts.. The course aims to motivate students to think analytically, understand and quantify the trade-offs related to supply chain decision making.|
1. Comprehending and describing the decision-making process
2. Modeling a business situation/problem subject to system constraints
3. Classifying different types of linear and non-linear programming problems like transportation, assignment, maximal flow etc.
4. Solving problems using relevant solution techniques like stepping stone, Hungarian method etc.
5. Using Excel as a tool for decision-modeling techniques and solution
6. Analysing and interpreting the solution