Increasing energy costs in combination with fears about global warming are two problems that building owners and managers face. Noorjax Consulting created a predictive model to influence and change the behavior of individuals in a building in order to conserve energy and reduce costs.
Building and interpreting simulation models can be difficult, especially for businesspeople, so AIG designed and created a model template in order to capture information required for modeling. These templates could then easily be customized for business domain experts in various sectors that require repeated processes.
Manufacturing companies face many challenges in the world today including globalization and changes in consumer demand. To overcome these obstacles, companies can either keep extra capacity or engage in resource sharing in order to utilize their resources in a more productive way.
In order to make better decisions to deal with COVID-19, the Saskatchewan Health Authority decided to integrate a trust model, in real time, into the decision-making approach within their health policy. The model would be able to look at the whole system and not just individual parts.
Economic analysis and simulation modeling are not often combined. As a result, one researcher decided to develop an agent-based model of economic and financial cycles using three economic theories to better understand the role of decision making in a complex financial system.
Diseases that spread very rapidly such as acute myeloid leukemia (AML) are very hard to treat and can progress extremely quickly, often resulting in death. Simulating this disease progression and patient treatment could help to understand the behavior of it better, leading to improved outcomes for patients.
Climate change is a pressing issue for our world and one of the ways to overcome this is through the use of technology. Researchers at UCL aimed to improve upon previous agent-based modeling for multi-energy networks in addition to experimenting with integrated energy system simulation using real-world case study data.
Hong Kong has very unique conditions and attempting to understand the spread of COVID-19 and then how to combat it was very challenging. Using agent-based modeling and publicly available data, researchers tried to understand this spread and identify vulnerable areas and at-risk populations, as well as evaluating government interventions.
Transportation, specifically freight transportation, uses a huge amount of fossil fuels, particularly oil. In order to reduce this consumption and therefore lower greenhouse gas emissions, new and more energy efficient systems must be identified. This can be done using a number of different factors, including the better use of intermodal terminals.
A leading tire manufacturing and exporting company in Argentina wanted to adjust their transformation processes to increase productivity. They wanted to take a holistic view of the plant in order to understand and improve the whole process and not just one exact problem.