The intelligent planning and monitoring software PSIasm/Qualicision combines planning and real-time control with KPI-based production optimization using Qualicision AI's scheduling and sequencing algorithms.
This is done using data-based KPI evaluation from automatically calculated goal conflicts in the production processes to be optimized. In addition, priorities of the KPI-based criteria can be machine-learned in such a way that consistent priority settings of the criteria are automatically recommended.
Benefits at a Glance
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Property-based Sequencing The order sequence is formed according to the physical order characteristics.
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Production time-based sequencing For production lines whose sequences are formed according to time-based capacities of work resources.
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KPI-based Scheduling. Powerful tool for management, optimization and visualization in production across multiple resources.
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KPI-based Production Optimization Planning and real-time control with KPI-based production optimization.
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Optimized decision making Optimization and decision-making for selection and classification tasks.
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AI Predictors Generic prediction algorithms using Qualicision AI predictors.
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Self-learning Data Processing For advanced machine learning methods and in-depth forecast-oriented analyses.
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Integrated Didactics Comprehensible application possibilities and playful interaction through integrated dialog guidance and exercise examples (Integrated Didactics).
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Explainable AI results Explainable relationships amongst other things of profitability and sustainability KPIs.
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User acceptance Increasing user acceptance due to comprehensible AI decisions.
Features
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Qualitative Labelling Qualitative Labelling as part of the Qualicision AI framework optimizes raw business process data for machine learning applications by qualitatively assessing measurable data directly from business processes in the context of KPIs (Key Performance Indicators) and analyzing relationships based on this. In this way, an algorithmic bridge is automatically created between the unprocessed raw business process data and artificial intelligence (AI) methods, which significantly simplifies the time-consuming process of manual data analysis for labeling data.
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Modules
Scheduling
Powerful tool for management, optimization and visualization of interlinked workflows in production across multiple resources.
Property-based Sequencing
The underlying KPIs in a line graph are created in such a way that they map the physical structure of the production process. The order sequence is formed according to the physical order characteristics.
Production time-based sequencing
For production lines whose sequences are formed according to time-based capacities of work resources / work stations, it is possible to use working times as KPIs to optimize sequences.
Typical Users
As an IT manager
With a deep technical understanding, administrators have a keen sense for system stability and performance as well as for the configurability and integration capability of decision support and optimization systems. Reliability is one of the key quality characteristics for IT managers when it comes to software solutions.
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Explainable AI results.
Explainable relationships amongst other things of profitability and sustainability KPIs.
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Optimized decision making
Optimization and decision-making for selection and classification tasks.
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Targeted Service Deployment
Efficiently deploy upgrades or new services to specific operational zones with software-driven flexibility.
