GAMS Case Studies

Here at GAMS we are proud to work closely with our customers and help them solve their problems. Below you will find a selection of case studies that demonstrate the diverse application areas of mathematical optimization with GAMS.

Cloud-based optimization of energy supply-demand networks and investment decisions

The EIP Energy Investment Planner© optimizes energy supply and demand networks and helps in evaluating investment decisions with an interactive web-based user interface

Problem Type: LP/MIP Industry: Energy

Optimal Efficient Price Discovery in Dairy Trading Events

Global Dairy Trade trading event auctions are the leading global online marketplace for trading large volume dairy ingredients and for reference price discovery. The GDT Trading Events and GDT Pulse Auctions are powered by CRA’s Trading System for Efficient Markets (TSEM™) platform and rely on a series of GAMS models.

Problem Type: LP / QP Industry: Agriculture, Dairy

Allocating Out-of-Home Advertising Campaigns

VIOOH is a leading global digital out of home (OOH) marketplace. Launched in 2018 and with headquarters in London, VIOOH’s platform connects buyers and sellers in a premium marketplace, making OOH easily accessible.

Problem Type: MILP Industry: Out-Of-Home-Advertising

Modeling Transportation Carbon Intensity Targets for the EU with GAMS

The ICCT asked GAMS to develop, test. and run a partial equilibrium model of the transportation sector in the EU. Renewable fuel policy is complex, and the impacts of policy changes are not always intuitive. Quantitative modeling, as demonstrated here, can be a useful tool in objectively analyzing a broad set of effects from changes in guidelines, and allows policy makers to make informed decisions.

Problem Type: MCP Industry: Economic Modeling and Policy

Transitioning of a Large Electricity Model into the Amazon Cloud

Stadtwerke München have recently lifted their computationally expensive GAMS model into the cloud. This white paper gives a high level overview of the techniques used and the benefits of a cloud deployment over a traditional on-premise solution.

Problem Type: LP Industry: Energy Market

Managing Retail Stock Distribution at Premium Shoe Manufacturer Goertz

As a medium sized fashion producer and retailer, Goertz regularly faces the challenge of how to redistribute stock across 150 retail stores. A newly developed solution with a GAMS model at its core helps Goertz to intelligently redistribute stock multiple times during the sales season. With the new solution, Goertz has been able to increase stock availability and at the same time shave off an average of seven days of each redistribution cycle.

Problem Type: MIP Industry: Fashion Retail


At the United States Military Academy in West Point, all students must graduate in four years. Each student’s daily activities are a carefully regimented balance of academic, military, and physical requirements. The ~4,500 enrolled cadets compile their individual academic programs, which results in challenging scheduling problems. USMA relies on a highly customized decision support system, based on GAMS.

Problem Type: MIP / MINLP Industry: Scheduling

Optimizing Power Trading Auctions at 50 Hertz

Supported by several TSOs, the 50Hertz Transmission GmbH, TSO of Eastern Germany and part of the Elia group, manages an internet platform to collect bids and execute described auctions of balancing reserves. A GAMS model helps them match supply with demand in an efficient way.

Problem Type: MIP Industry: Energy Market

Analytik Jena

High Throughput Screening is a scientific experimentation method widely used in pharmaceutical research especially in the field of drug discovery. Because the large number of promising compounds for new drugs cannot be analyzed by manual labor, the screening process is automated using robotics. A GAMS model helps increase experimental throughput.

Problem Type: MIP Industry: Pharmaceutical


The electricity generation sector in the U.S. is a major contributor of CO2 emissions. Thus emissions reductions from this sector will play a central role in any coordinated CO2 emission reduction effort aimed at combating climate change. One technology option that may help the electricity generation sector meet this challenge is carbon capture and storage (CCS). The U.S. Department of Energy is using GAMS in two projects aimed at advancing carbon capture technologies.

Problem Type: LP / MIP / MINLP Industry: Energy