Supply Chain Management became a popular term in the mid-1990s but, even today, no clear definition of the term has emerged. Instead, for most academics and practitioners, supply chain management is a broad term that covers many functions, including but not limited to manufacturing, warehousing, and transportation, as well as supplier relationship management, inventory management, pricing, and customer service.

As globalization has increased the scope and the complexity of supply chains, developing a supply chain strategy has become critical to a company's success. For some companies, a supply chain strategy that operates across multiple areas is necessary to achieve competitive advantage. For other companies, a supply chain strategy that focuses on a single area is sufficient to achieve operational excellence. In either case, optimization plays an important role.

This case studies collection highlights discrete optimization models in three areas that fall under the umbrella of supply chain: manufacturing, location analysis, and transportation. Please note that not all of the topics are serious in nature!

**Manufacturing**

- Cutting Stock Problem

Given paper rolls of fixed width and a set of orders for rolls of smaller widths, the objective of the Cutting Stock Problem is to determine how to cut the rolls into smaller widths to fulfill the orders to minimize the scrap. - Project Scheduling with CPM

Given a list of activities required to complete a project along with the duration of each activity and the dependencies between activities, the objective of the Critical Path Method (CPM) is to determine the sequence of activities that minimizes the latest completion time. - Facility Location Problem (Interactive MIRO demo)

This real life layout redesign decision can be modeled and solved as an optimization problem. The objective would be to minimize all costs including cost of making layout changes and cost of material handling. This is implemented using GAMS/MIRO. Users can run the model on default data, view the results, then change data to generate a new scenario, comparing two saved scenarios in the comparison tool.

**Location Analysis**

- Air Ambulance Reassignment Problem (Interactive MIRO demo)

The objective of the Air Ambulance Reassignment Problem is to determine a minimum cost assignment of helicopters to sites to satisfy the projected demand for the next time period. This is implemented using GAMS/MIRO. Users can run the model on default data, view the results, then change data to generate a new scenario, comparing two saved scenarios in the comparison tool. In the helicopter relocation, the arcs and cells are clickable to show label and flow information. - Quadratic Assignment Problem (
*interactive NEOS demo*)

The objective of the Quadratic Assignment Problem is to assign \(n\) facilities to \(n\) locations in such a way as to minimize the assignment cost, which is a function of flow and distance. - Nurse Practitioner Staffing (
*interactive NEOS demo*)

The objective of the Nurse Practitioner Staffing Problem is to determine the optimal number of nurse practitioners to hire in order to maximize the number of patients served at nursing facilities. - News feed layout problems (1 and 2D versions) (Interactive MIRO demo)

The objective of the news feed layout problem is to determine how to place news articles for maximum exposure. This is implemented using GAMS/MIRO. Users can run the model on default data, view the results, then change data to generate a new scenario, comparing two saved scenarios in the comparison tool.