INSE6300 Supply Chain Management (Fall 2018)
Instructor: Jia Yuan Yu.
Lectures: Fridays, 17:4520:15, room FG B050.
Office hours: Fridays, 15:4517:45 in room EV7.635.
Course description: The course is a continuation of Supply Chain Design. We focus on qualityofservice and performance guarantees in the context of datadriven decisionmaking problems in supply chains.
References:

Understanding Machine Learning, S. ShalevShwartz, S. BenDavid.

Markov Decision Processes, Martin Puterman.

Theory of Point Estimation, E. L. Lehmann and G. Casella.

Fundamentals of Supply Chain Theory, Lawrence V. Snyder, ZuoJun Max Shen.

Exploratory Data Analysis, H. Seltman, [PDF].

50 years of Data Science, D. Donoho, [PDF].

Game Theory in Supply Chain Analysis, G. P. Cachon, S. Netessine, [PDF].
Announcements
Lecture notes
 Lecture 0: Intro [PDF].
 Lecture 1: Data [PDF].
 Lecture 2: Control charts [PDF].
 Lecture 3: Inventory management [PDF].
 Lecture 4: Dynamic programming [PDF] (long version: [PDF]).
 Lecture 5: Parametric estimation [PDF].
 Lecture 6: Hypothesis testing [PDF].
 Lecture 7: Queueing [PDF].
 Lecture 8: Gittins index [PDF].
 Lecture 9: Cooperative game theory [PDF].
Assignments
 Assignment 1: Control charts [PDF].
 Assignment 2: Strategic decision making [PDF].
Projects
Describe an application of supply chain methods to solve a new problem (e.g., using dataset found on the Internet, from opendata initiatives, government agencies, etc.). Here, you will motivate the problem, model it, propose a solution approach, and analyse this solution.
You will have to produce a concise report (neither too short nor too long), and give a presentation on it.
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