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The integration of MOM and MES offers a transformative potential for manufacturing operations. By integrating these systems, companies can achieve enhanced operational visibility, improved efficiency, and better decision-making capabilities.

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A world-wide switch to electric vehicles is generally acknowledged as a fundamental component of decarbonisation. However, while demand for energy-dense batteries continues to soar, limited availability of the raw materials they require, such as lithium, nickel, and cobalt, is creating a major supply chain bottleneck — a bottleneck that threatens to impede their widespread adoption.

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The annual SIMULIA Regional User Meetings (RUMs) provide a forum for practicing engineers and researchers to exchange ideas and experiences in all aspects of simulation technology. Last year, Ameya Apte, vehicle dynamics and load simulation engineer at General Motors spoke about how they use SIMULIA to model complex multibody dynamics for leaf spring suspension systems.

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Embedded algorithms supported by AI techniques then suggest decision options based on simulated scenarios that account for not only the primary process but also for the network of processes the equipment interacts with or influences. The idea is to constantly have a “finger on the pulse” of the operation to monitor, assess root causes, simulate possible scenarios, and propose corrective measures to keep the operation performing as best as possible under environmental (e.g., unexpected geology variations) and contextual variables (e.g., energy cost).

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