ISYE 3103 Introduction to Supply Chain Modeling: Logistics, Fall 2026
Description
This course provides an introduction to industrial supply chain logistics systems, including
- the components of logistics systems, such as suppliers, production facilities, storage and distribution facilities, freight transportation systems, and associated information and decision technologies;
- interactions between logistics systems components and the composition of supply chain logistics systems;
- key performance metrics for logistics systems and their components; and
- quantitative models and techniques for the analysis, design, planning, and control of logistics systems and their components.
Calendar
Below find the schedule of the class meetings for ISYE 3103 with details. The mode will indicate if the class will be held in-person or virtually during that session. The color indicates the type of class meeting: a green box indicates a lecture with discussion, a yellow box is for exam dates, and a red box will alert students to other important dates.
| Date | Mode | Topic | Notes |
|---|---|---|---|
| Aug 24 | In-person | Introduction | Overview of the course. Introduction to supply chain logistics. |
| Aug 26 | In-person | One-to-one Inventory | Modeling inventory management problems supplying a single facility from a single inbound facility. One product models and EOQ. |
| Aug 31 | In-person | One-to-one Inventory | Single lane, one-product EOQ models. Example calculations. |
| Sep 2 | In-person | One-to-one Inventory | Using EOQ to select freight transport modes and shipment sizes. Comparing logistics costs. Cost robustness. |
| Sep 7 | No class | Labor Day Holiday | |
| Sep 9 | In-person | One-to-one Inventory | Extensions to deterministic order and inventory management models. Backordering. |
| Sep 14 | In-person | One-to-one Inventory | Backordering analysis when demand is known: reducing inventory costs by waiting to fill orders. Models for demand uncertainty. |
| Sep 16 | In-person | Inventory under Uncertainty | Single-period models for inventory management under uncertainty. |
| Sep 21 | In-person | Inventory under Uncertainty | Examples for newsvendor models. Moving from single-period to multi-period models. |
| Sep 23 | In-person | Inventory under Uncertainty | Continuous review inventory models and (q,R) policies. |
| Sep 28 | In-person | Inventory under Uncertainty | Continuous review inventory models. Reducing stockout and lost sales likelihoods using safety stock investment. |
| Sep 30 | In-person | Inventory under Uncertainty | Periodic review inventory models and basestock policies. |
| Oct 5 | No class | Fall Break | |
| Oct 7 | In-person | Inventory under Uncertainty | Basestock policies; comparing safety stock levels. |
| Oct 12 | In-person | Supply chain network flows | Logistics flows on networks; flow conserving networks. |
| Oct 14 | In-person | Supply chain network flows | Path decomposition of network flows; minimum cost path; Dijkstra's Algorithm. |
| Oct 19 | In-person | Midterm Examination | In-class midterm examination. 75 minutes at normal class time. |
| Oct 21 | In-person | Supply chain network flows | Minimum cost path; Bellman-Ford type algorithms; MCNF formulation. |
| Oct 26 | In-person | Supply chain network flows | Minimum cost network flow models; minimum cost path as MCNF. |
| Oct 28 | Pre-recorded lecture | Supply chain network flows | General MCNF; Transportation problem MCNF for logistics flow decisions. |
| Nov 2 | Pre-recorded lecture | Supply chain network flows | Transportation problem and assignment problem MCNF for logistics flow decisions. |
| Nov 4 | In-person | ||
| Nov 9 | In-person | ||
| Nov 11 | In-person | ||
| Nov 16 | In-person | ||
| Nov 18 | In-person | ||
| Nov 23 | In-person | ||
| Nov 25 | No class | Thanksgiving Break | |
| Nov 30 | In-person | ||
| Dec 2 | In-person | ||
| Dec 7 | In-person | Course wrap-up | Closing thoughts about modern supply chain logistics systems and implications for design, planning, and control. |
| Dec 11 | In-person | Final Exam | In-class final examination. Special meeting time: 11:20am - 2:10pm |