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White paper: How to create a digital twin


White paper: How to create a digital twin

Digital twin technology is developing rapidly, and over the next five years it will have a significant impact on industry, especially in helping drive cost savings. Reflecting this, Gartner has placed Digital Twins on its Top 10 Strategic Technology Trends 2019.

This blog introduces An Introduction to Digital Twin Development, a white paper about the benefits of digital twins and how to realize them successfully. Read on and get the free download.

How a digital twin can help decision making


How a digital twin can help decision making

Digital twins are part of Industry 4.0. How are they being used on automobile production lines? Here we investigate how a digital twin is made and used in the automotive industry.

One of the world’s largest capital goods companies, CNHi, wanted to evaluate Industry 4.0 technologies. It chose its IVECO production plant in Suzzara, Italy. Fair Dynamics were contracted and proposed a digital twin. Read on and discover how maintenance costs can be reduced with a digital twin — Production line downtime was shown in a study of over 100 automotive executives to cost an average of $22,000 per minute.

Oil production maintenance planning at Argentina’s largest company


Oil production maintenance planning at Argentina’s largest company

YPF is the largest oil producer in Argentina. It has 43% of the oil and gas production market and 58% of the gasoline market in the country. They hired consultants from Continente Siete to develop a decision support system (DSS) for determining work schedules.

The new maintenance planning system helped YPF save $18 million annually at the pilot implementation site. Forecasts suggest, the integration of the DSS with the work processes of other sites should save the company another $234 million per year.

Improving Intersection Efficiency with Connected Vehicle Technology


Improving Intersection Efficiency with Connected Vehicle Technology

Traffic control strategies at intersections have evolved through applying advanced control technologies during recent decades, especially for signalized intersections around urban areas. Now, with emerging connected vehicle technology there is a renewed potential to improve the overall efficiency and safety conditions at intersections. A group from the Department of Civil and Environmental Engineering at The University of Tennessee, Knoxville conducted a study of the relationship between average system delay and average queue length for traffic approaching signalized intersections. The team utilized data from the City of Detroit collected in a field test during the 2014 Intelligent Transportation Systems World Congress.

Senior Executive Decision Support Tool at USAA


Senior Executive Decision Support Tool at USAA

The United Services Automobile Association (USAA) is a Fortune 500 Company offering diversified financial services and insurance to people and families that serve or have served in the United States Military. With nearly 12 million members and various services, it is imperative that USAA’s business initiatives with strategic objectives of the enterprise are aligned. To accomplish this alignment, USAA combines advanced analytics, simulation methods, and enterprise architecture concepts to create dynamic and systemic models of the enterprise. A major catalyst in these efforts is Dr. Bipin Chadha, Data Scientist at USAA who has developed several decision support models for strategic planning, capability roadmaps, operational risk analysis, capacity planning and scheduling, and portfolio optimization.

Lockheed Martin - Improving Military Aircraft Turnaround Process


Lockheed Martin - Improving Military Aircraft Turnaround Process

The military aircraft maintenance turnaround process is highly complex and includes multiple interacting and parallel workflows between humans and machines. Lockheed Martin, one of the largest companies in the aerospace, defense, security, and technologies industry sought to improve decision-making in regards to the complete turnaround process and to identify process changes that could be implemented to reduce turnaround time. There are two distinct features unique to the project. One being the use of AnyLogic to model people, machines and workstations, and how they interact, which identified previously unknown workflow peculiarities. The second, a portable Android tablet application developed and tested by the team for workflow authoring and data collection that provided the input data to the process simulation model.

Dimensioning of Bike Sharing Systems in the City of Leon, Guanajuato, MX


Dimensioning of Bike Sharing Systems in the City of Leon, Guanajuato, MX

A smart bike sharing system can provide fast and easy access to public transportation where short trips are common for a large portion of the population. Urban planning officials in the City of Leon, Guanajuato, Mexico believe the socioeconomic conditions along with its societies adherence to this mode of transportation combined with the urban trace and physical conditions encourage the adoption of a bike sharing system. The City of Leon contracted Karla Margarita Gamez Pérez, Eleazar Puente Rivera, and her team from The University of Monterrey to research the possibility of a bike sharing system prior to implementation. Karla’s team chose AnyLogic Software for simulation modeling to carry out the design and dimensioning of the system.