International Conference on Manufacturing Systems and Big Data
(ICMSBDA-26)

15th November 2026 || Mumbai - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Manufacturing Systems and Big Data (ICMSBDA), scheduled to be held on 15th November 2026 in Mumbai, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Big Data.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Predictive Analytics in Manufacturing Systems
    This track focuses on the application of predictive analytics to enhance decision-making processes in manufacturing systems. It aims to explore methodologies that leverage big data to forecast production outcomes and optimize operational efficiency. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 02 – AI-Driven Innovations in Smart Manufacturing
    This session will delve into the role of artificial intelligence in transforming traditional manufacturing practices into smart manufacturing systems. Participants will discuss case studies and frameworks that illustrate AI's impact on productivity and innovation. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Data Integration Techniques for Industrial Analytics
    This track addresses the challenges and solutions related to data integration in industrial settings. It will cover best practices for combining disparate data sources to enable comprehensive analytics and informed decision-making. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 04 – Machine Learning Applications in Process Optimization
    Focusing on machine learning techniques, this session will explore their application in optimizing manufacturing processes. Researchers will present findings on how these technologies can enhance efficiency and reduce waste in production lines. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 05 – Production Analytics for Enhanced Operational Performance
    This track highlights the significance of production analytics in driving operational performance improvements. Discussions will center on methodologies that utilize big data to analyze production metrics and identify areas for enhancement. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 06 – Data Visualization Strategies in Manufacturing
    This session will explore the importance of data visualization in interpreting complex manufacturing data. Participants will discuss tools and techniques that facilitate effective communication of insights derived from big data analytics. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 07 – System Optimization through Big Data Insights
    This track will examine how big data insights can be harnessed for system optimization in manufacturing environments. Case studies will illustrate successful implementations that have led to significant performance gains. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 08 – Scalable Systems for Big Data in Manufacturing
    This session will focus on the design and implementation of scalable systems capable of handling large volumes of manufacturing data. Participants will discuss architectural frameworks that support scalability and flexibility in data processing. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 09 – Intelligent Systems for Enhanced Manufacturing Efficiency
    This track will investigate the integration of intelligent systems in manufacturing processes to improve efficiency and productivity. Discussions will cover the latest advancements in automation and their implications for the industry. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 10 – Innovation Strategies in Data-Driven Manufacturing
    This session will explore innovative strategies that leverage big data to drive transformation in manufacturing. Participants will share insights on how organizations can foster a culture of innovation through data-centric approaches. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 11 – Challenges and Solutions in Industrial Big Data Analytics
    This track will address the key challenges faced by industries in implementing big data analytics. Discussions will focus on practical solutions and frameworks that can be adopted to overcome these obstacles and maximize data utility. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 4 SDG 4
    Quality Education
  • SDG 8 SDG 8
    Decent Work and Economic Growth
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 12 SDG 12
    Responsible Consumption and Production

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