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FOX - our joint solution with ifm

multi-work center planning in production across all work centers in SAP

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Product

FOX - our joint solution with ifm

multi-work center planning in production across all work centers in SAP

Description

For practical production sequence planning, one needs, in a nutshell, all relevant data, and an intelligent evaluation of this data. The complex task requires a highly intelligent tool that can put all dependencies and restrictions into relation. The calculated, practicable detailed production plan then enables smooth, economical and resource-saving production flow. The support provided by the AI-based software makes it possible to continuously and sustainably optimize production processes and thus offers elementary support for every manufacturing company. The waste of precious resources is also curbed or stopped altogether. In the pegging process, the relationships between preceding and following production runs are determined. The more orders that are included in the period under consideration, the more complicated the network of relationships becomes. Pegging is thus a "relationship manager" and provides the basis for the optimized production plan, which is calculated in the next step. How does the knowledge of the relationships, restrictions and availabilities become an optimal detailed production plan? This works in the so-called "optimizer". Behind this is an intelligence that checks all dependencies and determines the optimized production sequence. The software continuously calculates further fine production plans, compares the quality with the previous result, discards the previous result, discards the worse scenario and retains the better one. At the end of the runtime, the best of these fine production plans is ready for implementation.

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Keywords:

Artificial Intelligence, production planning, AI production planning, pegging, SAP


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UseCase: Intelligent pump monitoring using artificial intelligence

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Intelligent pump monitoring using artificial intelligence

automotive supplier, paper, aerospace, food, beverage

The supply pump is one of the central components of many plants. It ensures fluid circulation through the entire system. Damage to this pump will result in the failure of the entire plant – this must be avoided at all costs. In this specific case, the pump is operated at various speeds, which makes static monitoring more difficult. Artificial intelligence can be used in a targeted manner here: AI simplifies pump monitoring while increasing the efficiency of the entire process. Process deviations (anomalies) are detected early and downtime is minimised.