FAQ – Automation
An important lever for production when setting up a plant is software-based support for engineering processes using virtual models of machines, plant, robot applications, and material flows.
Extensive libraries of virtual components make process modeling easier, from presses, robots, conveyor belts, and automation systems to sensors and actuators.
Automation strategies can be tested in terms of their functionality and real behavior over time, enabling process sequences to be optimized.
Using digital engineering you can achieve higher roll-out quality for automation and drive solution software, and identify design and sequence errors at an early stage.
The strategy of running a “real” commissioning process on the virtual model lets you simulate all current and future operating sequences in the relevant production environment in real time, and test them using the original automation software.
This lets you achieve higher roll-out quality for automation and drive solution software, and identify design and sequence errors at an early stage.
Plant upgrades are an important productivity lever. Thanks to software-based support for engineering processes using virtual models, HEITEC tests the automation software for system conversions at the desktop, to ensure it can be installed on the plant without errors, and with only minimal interruptions to the production process.
HEITEC provides assistance and support with a comprehensive approach covering consulting and training for your employees, planning and design, and also implementation and execution.
The basis is a strategy individually coordinated with your requirements, letting you satisfy all legal requirements that are relevant to you.
During implementation we work with you to determine which components and functions may be at risk, to keep the quality-checking and validation processes as lean as possible.
Using tests tailored to your product we ensure that both legal and other quality requirements are observed.
Using EPLAN Electric P8, the HEITEC specialists draw up all the documents you need to configure, document and manage electrotechnical automation projects for new plant, plant expansions and retrofits.
This means you can automatically draw up detailed evaluations based on the updated wiring diagrams. This guarantees consistency and integration across the entire plant.
An important lever for productivity when upgrading a plant is software-based support for engineering processes using virtual models of machines, plant, robot applications, and material flows.
That means automation software can be developed and tested at the desktop, to ensure it can be installed on the plant without errors, and with only minimal interruptions to the production process.
As a Siemens Solution Partner, HEITEC specializes in configuration using the TIA Portal, and offers you all the services you need to integrate new automation systems with new developments, or when expanding and retrofitting your machines and plant.
HEITEC helps you set up and configure security technology in production and logistics. From risk analysis to developing and implementing security strategies, we offer an extensive range of services.
FAQ – Industrie 4.0
Creating even more flexible, faster and consistent processes in engineering and automation are the primary goal
The latest digitalization and engineering methods have been used to develop tools to increase certainty and facilitate the job of designing in accordance with complex requirements.
Risks are reduced along with design times, and quality has been increased
As a result, digital engineering methods and tools focus on high productivity right from the design process
HEITEC uses these concepts for real-world troubleshooting
The digital design phase generates processes and sequences in connection with technologies to design plants for the manufacture of specific products
This design process increasingly makes use of digital models.
HEITEC concentrates on the solution, and develops multi-tool interfaces and technology objects that take design simulation closer to reality.
These abstract design methods achieve a high efficiency rating.
Methodology in Engineering translates design results into projects.
In particular, process owners with no detailed knowledge of automation technologies need a way to configure their own solutions to manufacture their products.
The course the project will take is established as the project is being implemented, i.e. costs are generated or can be reduced and avoided.
Tested quality is achieved when the virtual model not only reveals the sequences and cycle times in real time, but also quality-checks the software used in the project, and can also validate it to a certain extent.
The digital twin makes the project detail clear.
Planning, design and software errors are identified at an early stage, and the appropriate actions can be taken before a defective system is constructed.
HEITEC offers further productivity growth through IT networking of operational and production processes on the shop floor
Customer orders are divided into individual manufacturing orders using SAP, and are transmitted to the machines in Production via middleware.
- Manual copying errors are avoided
- Fine planning of production resources on the shop floor can optimize production
- Online feedback on manufacturing status helps establish realistic delivery times
- Reliable planning thanks to real-time data
IT networking makes customized products in single-unit batch sizes in a mass-production environment economically achievable
Rigorous collection of all relevant data from production (Big Data/monitoring) reflects production from the last shift or the last few days on the digital twin.
All production bottlenecks in the production facility are identified using the digital twin
Problems that occur only sporadically can also be analyzed.
The information thus obtained is used to introduce and perform the right measures, firstly on the virtual model (the digital twin) with no risk whatsoever, and then on the real production facility following successful acceptance.
Productivity is substantially increased thanks to parallel analysis and optimization, with no need to interrupt production