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Customizing the database layout

2.Fragmentation of a database table

A fragmentation line contains the following fields: fr ident resource

A number of definition lines of this type are permitted per class, at least two resources must be defined for the purpose of fragmenting.

Note that a partitioning of storage space which is taken into account during the frag- mentation can also be specified in the t definition line.

ident Name of the class in the specialist model.

Mandatory entry

resource Entry to identify a dbspace in which the tables are to be stored. Such a dbspace is a storage area which is based on the physical storage media. The dbspace must exist and can only be assigned once per table. Optimi- zation strategies for access functions can be realized through the fragmen- tation of tables across several storage structures.

Mandatory entry

Example

fr myClassname1 Dbspace_1

fr myClassname1 Dbspace_2

3.Name mapping of database views

A view line contains the following entries: vw ident name

Only one definition line of this type is permitted per class.

ident Name of the class in the specialist model Mandatory entry

name Name of the view to which the class of the specialist model is to be mapped.

Example

vw myClassname myNewViewName

GINA V4.0 System Administrator Guide – September 2000

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Siemens V 4.0 manual Fr myClassname1 Dbspace1 Fr myClassname1 Dbspace2
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V 4.0 specifications

Siemens V 4.0 is an advanced digital platform designed to enhance operational efficiency and streamline processes in various industries. It embodies the principles of Industry 4.0, leveraging cutting-edge technologies to create a more connected, intelligent, and automated manufacturing environment. This platform integrates data-driven insights and advanced analytics to facilitate informed decision-making and improve productivity.

One of the main features of Siemens V 4.0 is its ability to provide end-to-end visibility across the manufacturing value chain. By connecting machines, production lines, and supply chains through the Internet of Things (IoT), Siemens V 4.0 enables real-time monitoring and control. This connectivity allows companies to identify bottlenecks, reduce downtime, and enhance overall operational performance.

Another key technology embedded in Siemens V 4.0 is artificial intelligence (AI). AI algorithms analyze vast amounts of data generated throughout the production process, enabling predictive maintenance and optimizing production schedules. By anticipating equipment failures and streamlining operations, businesses can achieve significant cost savings and minimize disruptions.

Siemens V 4.0 also emphasizes the importance of automation and robotics. By integrating robotic process automation (RPA) into manufacturing workflows, companies can achieve higher levels of efficiency while reducing human error. This automation not only speeds up production times but also allows workers to focus on more complex tasks that require human ingenuity.

Additionally, Siemens V 4.0 supports advanced simulation and digital twin technology. Through the creation of virtual models of physical assets, manufacturers can simulate different scenarios, identify risks, and optimize design processes before implementation. This capability accelerates innovation while minimizing waste and resource consumption.

Another important characteristic of Siemens V 4.0 is its scalability. The platform can be tailored to meet the unique needs of various industries, from automotive to pharmaceuticals. This flexibility ensures that companies of all sizes can leverage its capabilities, driving global competitiveness.

In conclusion, Siemens V 4.0 is revolutionizing the manufacturing landscape through its comprehensive suite of features, including IoT connectivity, AI-driven insights, automation, and digital twin technology. By adopting this platform, businesses can transition toward more efficient and sustainable operations, ultimately preparing them for the future of industrial production.
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