Method for Determining a Production Order of Production Orders of a Production Plant, Production Plant System, Computer Program and Electronically Readable Data Carrier

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This invention describes an intelligent method and system for determining the optimal production order of manufacturing jobs in a production plant, utilizing a machine learning system (such as reinforcement learning or neural networks). The system integrates historical and real-time data about the plant’s workload and job requirements to dynamically and flexibly generate the most efficient production sequence. The method is implemented as part of a broader production plant system, can be run as software or on various digital platforms, and aims to maximize efficiency, throughput, and adaptability in complex and changing production environments.

Use CasesContent extracted from patent full text and abstract with AI.

• Production scheduling for factories with high variability in product types and order volume.
• Smart factory implementations in Industry 4.0 environments where flexibility and efficiency are critical.
• Cloud-based or edge-deployed production management solutions for large manufacturing networks.
• Integration in manufacturing execution systems (MES) or enterprise resource planning (ERP) software.
• Automated control and prioritization of plant machines and workstations based on real-time data.
• Manufacturing environments where downtime, rush orders, and changing priorities must be managed efficiently.

BenefitsContent extracted from patent full text and abstract with AI.

• Increases production flexibility and responsiveness to changing orders and product portfolios.
• Reduces the need for manual and rule-based scheduling, saving time and labor.
• Optimizes use of plant resources, potentially increasing throughput and reducing costs.
• Adapts dynamically to real-time plant data, leading to more robust and accurate scheduling decisions.
• Supports complex multi-unit plants or networks, handling both local and plant-wide optimization.
• Can be implemented as a cloud, edge, or local software solution, enhancing integration possibilities.
• Reduces retraining costs and efforts when the product portfolio changes, as the system can generalize to new production scenarios.

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Patent Abstract

Verfahren zum Ermitteln einer Fertigungsreihenfolge von Fertigungsaufträgen einer Fertigungsanlage, Fertigungsanlage-System, Computerprogramm sowie elektronisch lesbarer DatenträgerDie Erfindung betrifft ein Verfahren zum Ermitteln einer Fertigungsreihenfolge (6) von Fertigungsaufträgen (5) einer Fertigungsanlage (1), wobei- das Ermitteln der Fertigungsreihenfolge (6) durch ein lernfähiges System (7) erfolgt, das darauf trainiert ist, anhand von vergangenen Daten der Fertigungsanlage (1) und/oder aktuellen Daten der Fertigungsanlage (1) die Fertigungsreihenfolge (6) zu ermitteln,- dem lernfähigen System (7) Informationen betreffend einer Auslastung der Fertigungsanlage (1) und/oder Informationen betreffend Fertigungsaufträge (5) bereitgestellt werden,- das Ermitteln der Fertigungsreihenfolge (6) anhand der Informationen betreffend die Auslastung der Fertigungsanlage (1) und/oder der Informationen betreffend die Fertigungsaufträge (5) erfolgt.Des Weiteren betrifft die Erfindung ein Verfahren zum Betreiben einer Fertigungsanlage (1), ein Fertigungsanlage-System (3), ein Computerprogramm sowie einen elektronisch lesbaren Datenträger.