Case studies

Today, many steel manufacturers are in need of lean manufacturing tools that will improve their return on investment and service levels. The minimum 80% reliability level most steel companies are struggling to achieve is nowhere near what today’s customers and investors want to deal with. One of the largest and oldest European steel manufacturers came across these problems and was desperately trying to solve them. The company called upon the assistance of Goldratt Research Labs.

The model simulates the redesigned ground environment and production processes of the shop floor to be renovated. This is one of the significant examples of simulation modeling technology application in the metallurgical industry.

The Sterling Simulation consulting company was hired by a pharmaceutical giant to create a supply chain model. The client was introducing one of their products to new markets and wanted to visualize the restructuring of the supply chain and how it would react to demand uncertainty. The company’s goal was to reduce lead time while maintaining fill rate and avoiding backorders or lost sales. The client wanted a flexible ‘what if’ tool for risk mitigation analysis.

CSAA is one of the top personal lines and property casualty insurance groups in the United States. They wanted to understand the customer lifetime value to the insurer (V2I) and the value of the insurance policy to a customer (V2C). Engineers built a simulation model to make the right decisions on investments, staffing, and skilling. The results showed yearly V2I and V2C, the 10-year survival rate, and their correlation.

When people are impacted by a natural or man-made disaster, utility companies look for ways to provide resources as soon as possible, and reduce outage time. To assist and better coordinate with each other, Canadian companies from closely located territories created alignments for mutual assistance. Engineers from York University applied simulation modeling to provide the utility companies with a better decision-making tool for managing the mutual assistance process.

Moscow State University supercomputer “Lomonosov” predicted social and economic development of Russia for the next 50 years. The evaluation was based on a model created in AnyLogic and data taken from Russian official sources.

Stockholm County, Sweden was in the process of building a new, highly specialized hospital. The Health Administration of the county questioned whether they would get an acceptable level of care production with the current investments and reasoning concerning various operational and strategic issues. To find the answers, they used simulation modeling in AnyLogic.

Banca d'Italia processes a certain amount of manual credit transfers every year. These transfers cannot be processed automatically and require two divisions of employees in the back office of the bank. The bank wanted to determine if merging these two divisions would be beneficial. The consultants employed AnyLogic’s unique capability to use different modeling methods and created two models of the system to ensure the result.

The supply chain management at Infineon, a huge semiconductor manufacturer, wanted to investigate the bullwhip effect in their market in order to decrease expenses and better forecast market behavior. They used AnyLogic software to build a model of a supply chain – from raw materials to the market.

IBS Group, the leading software developer in Central and Eastern Europe, was approached by the Ministry of Education and Science of Russia to conduct the project, “Development of an Analytical System for Forecasting the Demand in Skilled Professionals in Russia’s Economy.” The aim of the project was to create an analytical system, which could help the Ministry plan for the subsidization of higher education from the federal budget.