Use Cases Digital Twin

Digital Twin

A digital twin works as a bridge to connect the physical and the virtual world for a process, product or service. It is a digital replica of a living or non-living physical entity. With the development of IoT, a digital twin can constantly accumulate data and mutually transfer the information with the physical body during the life cycle of the system.

The object of the digital twin is to analyze data and monitor systems in order to head off problems before they occur, prevent downtime, develop new opportunities and even plan for the future.

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Battery manufacturer Industrial Digital Twin
Battery manufacturer Industrial Digital Twin
For optimum control of product quality, Banner relies on a high production depth. Its 560 production employees produce nearly all the components in¬-house that they need to make finished batteries on Banner’s six assembly lines. This includes the plastic parts for the battery cases as well as the paste-filled lead oxide grids. Their production involves two to five¬ days rest in maturing chambers to create optimum current absorption and storage capacity. Banner’s ongoing success was accompanied by a continuous, organic growth of the production facilities, adding or extending hall after hall until the complex filled the site that had seemed ever so spacious when the company moved here from a smaller place in 1959. These developments led to a heterogeneous production environment. “This confronts us with significant challenges, particularly concerning intra¬logistics issues, such as scheduling for the maturing chambers,” says Franz Dorninger, technical director at Banner. “We contemplated various ways to overcome this problem, including relocating to new premises.”
Intralox Using Demo3D Case Study
Intralox Using Demo3D Case Study
Intralox strives to create significant economic value for our customers by optimizing their conveyance systems. Intralox wants to emulate real-world production environments for end users and OEMs working in multiple industries, including packaging, warehousing, parcel, beverage, brewery, food, tire, and consumer goods. They frequently had to perform physical tests to demonstrate to customers how ARB equipment would handle their products.
ThyssenKrupp employs Visual Rules BRM
ThyssenKrupp employs Visual Rules BRM
ThyssenKrupp Steel Europe found itself in the position of needing to replace, step by step, the models it had programmed itself to manage the production of various grades of steel with a solution equipped to face the demands of the future. The solution had to be easy to integrate and designed to be rolled out step by step. ThyssenKrupp Steel Europe uses its automation systems to manage the whole production process at its company steel plants. This is done using clever algorithms that map the functional relationships across all stages of the steel production process. However, there are still a host of other changeable factors that influence the quality of the product obtained, and these also need to be factored in in the form of rules or formulae. What ThyssenKrupp Steel Europe was looking for was a suitable piece of software to fulfill this rule-based management function.
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