inSis Batch Management

A unified digital framework for the collection, storage, analysis and reporting of batch manufacturing records with real-time batch monitoring and optimisation.
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Structured batch records, streamlined production

inSis Batch revolutionizes batch manufacturing by providing a unified digital framework for comprehensive record management. This robust system seamlessly integrates the collection, storage, analysis, and reporting of batch manufacturing records in electronic format, eliminating paper-based processes and driving operational efficiency. Comprising three core modules - Electronic Batch Manufacturing Records (eBMR), Batch Analytics, and Batch Monitoring & Optimization - inSis Batch empowers manufacturers with real-time insights, enhanced control, and data-driven decision-making, ultimately leading to improved product quality and optimized production workflows.

Solution benefits

inSis Batch delivers transformative benefits to batch manufacturing by digitizing records and providing real-time data insights for optimized operations.

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Pay-back period

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Time savings

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Accurate reports

Batch production optimization
Minimised off-specs
Improved batch cycle time
Batch information traceability

How this helps your operations

inSis Batch transforms your operations by providing a unified digital framework that streamlines the entire batch manufacturing lifecycle. Replacing paper-based records with electronic Batch Manufacturing Records (eBMR) eliminates errors and ensures data integrity. Real-time, AI-driven Batch Monitoring and Optimization proactively identifies process deviations and enables immediate adjustments, minimizing downtime and maximizing output. Finally, Batch Analytics extracts actionable insights from your data, empowering data-driven decisions that improve quality, consistency, and overall operational efficiency, ultimately leading to cost reduction and enhanced productivity.

Core features

inSis Batch delivers core functionalities that revolutionize batch manufacturing through digitized records, intelligent monitoring, and data-driven analytics.
  • Digitizes SOPs, ensuring consistent execution across all batches
  • Provides step-by-step guidance for operators, minimizing errors and deviations from SOPs
  • Enables continuous monitoring of critical parameters, ensuring adherence to SOPs
  • Automatically records all relevant data, eliminating manual entry and reducing errors
  • Centralizes all related documentation, making it easily accessible to operators
  • Facilitates the documentation and management of deviations from SOPs, ensuring corrective actions are taken
  • Generates reports that analyze adherence to SOPs, enabling continuous process improvement
  • Stores and manages all recipe versions and parameters in a single, secure location
  • Tracks and manages all recipe revisions, ensuring traceability and consistency
  • Synchronizes recipe data with ERP systems for accurate material planning and inventory management
  • Synchronizes recipe parameters with MES systems for automated process control and execution
  • Enables real-time updates and modifications to recipes, minimizing downtime and maximizing flexibility
  • Ensures consistent recipe data across all platforms involved, eliminating data discrepancies
  • Provides a single, intuitive app for all workforce interactions across different manufacturing stages
  • Enables real-time tracking and logging of material movements, ensuring accurate inventory and traceability
  • Facilitates direct digital data entry at each process step, minimizing errors and improving data accuracy
  • Streamlines lab sample requests, tracking, and results entry, ensuring efficient quality control
  • Provides on-screen access to SOPs and step-by-step guidance, ensuring consistent process execution
  • Enables instant communication and collaboration between operators, supervisors, and lab personnel
  • Displays key performance indicators (KPIs) relevant to batch production in real-time
  • Identifies trends and patterns in batch data, enabling proactive process optimization
  • Analyzes deviations from expected parameters, pinpointing root causes and enabling corrective actions
  • Compares data across different batches to identify variations and ensure consistency
  • Analyzes critical quality parameters, ensuring product compliance and consistency.
  • Generates customizable reports based on specific data requirements
  • AI algorithms continuously monitor process parameters and automatically detect deviations from expected values
  • AI analyzes historical and real-time data to identify potential root causes of deviations
  • AI algorithms identify correlations between various process parameters and deviations
  • AI models predict potential deviations based on current process conditions, allowing for proactive intervention
  • Presents root cause analysis results in a clear and intuitive format, enabling quick understanding
  • Generates real-time alerts and notifications to operators and supervisors when deviations and potential root causes are identified
  • AI analyzes the data in the context of the production process, to find the most likely root causes
  • Creates a centralized data hub by seamlessly integrating data from diverse systems
  • Automates data retrieval from recipe management systems, ensuring accurate ingredient and process parameter capture
  • Directly collects real-time process data from control systems (PLC, DCS), ensuring continuous monitoring
  • Automatically imports lab analysis results, eliminating manual data entry and ensuring data integrity
  • Facilitates data exchange with other MES systems, ensuring seamless data flow across the manufacturing environment
  • Performs automated data validation checks to ensure accuracy and consistency of collected data
  • Enables real-time streaming of data from source systems, ensuring up-to-the-minute insights

How it works

inSis Batch operates through three interconnected modules, creating a comprehensive digital ecosystem for batch manufacturing. The eBMR (Batch Manufacturing Records) module acts as the data foundation, capturing and systematically storing all critical batch-related information. This centralized repository ensures data integrity and accessibility, paving the way for advanced analytics and process optimization.

The Batch Analytics module then leverages the rich eBMR data to deliver actionable insights. Through tools like Golden Batch Analysis and Batch Comparison, users gain a deep understanding of process performance, identifying trends and variations to drive continuous improvement. This data-driven approach empowers manufacturers to make informed decisions, optimizing product quality and consistency.

Finally, the Batch Monitoring & Optimization (BMO) module, powered by inSis.AI, provides real-time process control. By building AI-driven Batch Models based on the “Golden Batch,” the system detects deviations in ongoing batches, generating anomaly alerts and providing operators with guidance for corrective actions. This proactive approach minimizes deviations, reduces waste, and ensures consistent product quality, ultimately maximizing efficiency and productivity.