Graduate Teaching

I teach MS6322 (Transportation Logistics) at the City University of Hong Kong. It is a master course offered by the Department of Decision Analytics and Operations in the College of Business. The course provides an integrated view of transportation and logistics within supply chain management, combining industry practices and strategic perspectives with quantitative models for logistics decision making. 

The course examines how goods move through modern supply chains, how transportation and distribution systems are designed and operated, and how firms make logistics decisions involving cost, service, capacity, and sustainability. Students learn both the institutional and operational characteristics of major transportation modes and markets and analytical tools for transportation planning and network optimization. Real-world cases, quantitative exercises, and industry guest lectures are used to connect models with practice.  Emphasis is placed on applying analytical tools to real-world transportation and logistics problems. 

The course covers:

1. Transportation Systems and Global Logistics
   Transportation modes, infrastructure and industry players; land, air, and ocean transportation; international trade and logistics

2. Transportation and Distribution Decisions
   Transportation cost and service tradeoffs; transportation and network flow optimization; facility location and distribution network design; vehicle routing and last-mile delivery

3. Pricing, Uncertainty, and Emerging Logistics Issues
   Transportation service pricing and revenue management; logistics under uncertainty and disruption; green and sustainable logistics

Students also work in teams to investigate real-world transportation and logistics problems and present their analyses and recommendations.

Undergraduate Teaching

I taught SCM 404 (Demand Fulfillment) at Penn State from 2018-25. The course is one of the three prescribed foundation courses for the Supply Chain and Information Systems major for which SCM 301 Supply Chain Management is a prerequisite. This course also satisfies the prerequisite for SCM 421 Supply Chain Modeling and Analysis. 

It focuses on introducing classic models and solutions within the context of demand fulfillment. This class teaches you the strategic framework, managerial issues, and modeling methods related to planning and execution of demand fulfillment processes in a supply chain. It is organized in three modules, in each of which you will learn basic tools for analyzing operational problems, quantitative methods of managing that aspect of operations, as well as a strategic view. The three modules are:

1.     Demand Management and Forecasting 

•        Time series models (MA, ES, Holt, Seasonal Factor Analysis, Winter)

•        Causal models (simple and multiple linear regressions)

•        Machine learning (introductory of time series ML models and regression ML models)

•        Relevance-based prediction (introductory)

2.     Order Fulfillment and Inventory Management

•        Deterministic models (EOQ, quantity-discount)

•        Stochastic models (Newsvendor and multi-period)

3.     Distribution and Transportation 

•        Square root rule