Big Data Analytics for Production Management

Objectives:

• Understand the role of big data in production management.
• Explore data collection methods and tools in production environments.
• Learn how to analyze big data to improve production efficiency.
• Understand the implementation of big data analytics in decision-making processes.

Introduction to Big Data in Production Management

• Definition of big data and its relevance to production management
• Key components of big data: Volume, Variety, Velocity, and Veracity
• Benefits of big data analytics in production optimization
• Challenges in adopting big data in production environments

Data Collection and Tools for Production Management

• Sources of data in production environments (e.g., machines, sensors, workers)
• Tools for data collection: IoT devices, sensors, and data management platforms
• Real-time data monitoring and integration with production systems
• Data storage solutions: Cloud, on-premises, hybrid approaches

Data Analysis Techniques for Production Optimization

• Descriptive, diagnostic, predictive, and prescriptive analytics
• Key performance indicators (KPIs) in production management
• Use of machine learning and AI for data analysis
• Visualizing data insights through dashboards and reports

Implementing Big Data Analytics in Decision Making

• Using big data to identify inefficiencies and optimize production processes
• Real-time decision-making based on data insights
• Predictive maintenance and demand forecasting using big data
• Best practices for integrating big data analytics into production management strategies

DATE:

1ST BATCH: 3rd – 6th Feb, 2026    

2ND BATCH: 26th – 29th May, 2026

3RD BATCH: 22nd – 25th Sep, 2026