Closed Loop: Simulating, planning and managing the digital factory
One element of the holistic digitization approach is the digital twin. Using the 3D simulation platform Visual Components, which is supplied by DUALIS, users can create digital twins of their entire production and simulate material and process flows. This allows systems, components, and processes to be tested before they are used in practice, "what-if" scenarios to be run through and errors to be minimized.
Based on these simulation results, a model for realistic production planning can be generated with the GANTTPLAN advanced planning and scheduling system (APS) from DUALIS. The APS carries out planning across departments and takes the entire value chain into account.
At the same time, the data from the digital twin is transferred directly to iTAC Software AG's iTAC.MOM.Suite manufacturing operations management system. This forms the necessary interface between production and IT systems and enables real-time monitoring of production processes. If the MOM knows the current state, the APS can precisely calculate the future.
This marks the closed loop approach: the real data from the MOM and APS system is sent back to the simulation for continuous optimization of the process flows. Changes in key figures and throughputs can then be viewed and evaluated.
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Latest releases from iTAC Software AG
iTAC Software is a Leader in Gartner® Magic Quadrant™5.5.2023 12:39:56 EEST | Press release
What are the Strengths and Cautions of MES/MOM vendors? Gartner states that the “Magic Quadrant gives enterprise technology shoppers an unbiased assessment of how well competing providers are performing against Gartner’s market view and is supplemented by validated user reviews.”1 The MES/MOM vendor, iTAC Software (www.itacsoftware.com) is positioned as a Leader this year in the Gartner Magic Quadrant for Manufacturing Execution Systems.
iTAC and Brose develop Industry 4.0 solutions for automated SMT production17.4.2023 14:25:30 EEST | Press release
Montabaur What saving potential and process optimizations can automation bring to SMT production? This and other questions are being addressed by the MES/MOM specialist iTAC Software AG in a pilot project for the automotive supplier Brose. The use cases are based on an IIoT platform with edge solutions from iTAC with the goal of increasing cycle times, avoiding errors and creating more value. E-mobility, autonomous driving, and shared mobility – these and other developments are currently changing the market. As requirements continue to grow, the degree of digitalization in factories is also increasing. To continue to play a leading role in the rapidly changing automotive sector, Brose is focusing on transparency and a high level of digitalization in its production. One goal is to make data-based decisions. "Data analysis is the basis for error prevention, targeted actions, and predictions for the future. To enable Brose to fully exploit the potential of the available data, we are curre
End-to-end digitalization in production: iTAC presents MOM system at HANNOVER MESSE24.3.2023 08:05:14 EET | Press release
Montabaur. The demands for agility and efficiency in manufacturing are increasing. Simultaneously, quality must be maintained at a high level. iTAC Software AG and its parent company Dürr have the answer: a modular all-in-one solution for the planning, execution, control, monitoring, optimization and predictive analysis of manufacturing. The Manufacturing Operations Management (MOM) system is based on end-to-end networking and digitalization. Another special feature is the microservices architecture to provide functionalities tailored to specific requirements. The company will be demonstrating the advantages of this solution at HANNOVER MESSE (hall15, booth E34).
iTAC shows how manufacturing can benefit from the Artificial Internet of Things13.2.2023 14:35:38 EET | Press release
Montabaur. Combining AI with IoT (AIoT) opens up new potential for creating value from data. The focus is on collecting, analyzing and interpreting data from machines and sensors with the help of an MES/MOM. In this way, predictions can be derived and self-learning processes can be developed. The MES/MOM specialist iTAC (www.itacsoftware.com) demonstrates the possibilities for implementation.