Scalable Predictive Maintenance in INSEE

SCCC had committed to running a showcase Digital Factory for the ASEAN region and had already invested heavily in smart factory equipment and sensors. They required a predictive maintenance system that would leverage their existing investments and integrate with their SAP PM maintenance system.

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  • SUPPLIER
  • Senseye
    Senseye is the leading cloud-based software for Predictive Maintenance. It helps manufacturers avoid downtime and save money by automatically forecasting machine failure without the need for expert manual analysis. Its intelligent machine-learning algorithms allow it to be used on any machine from any manufacturer, taking information from existing Industrial IoT sensors and platforms to automatically diagnose failures and provide the remaining useful life of machinery.
  • TECHNOLOGIES
  • Analytics & Modeling - Predictive Analytics
    Functional Applications - Computerized Maintenance Management Systems (CMMS)
    Infrastructure as a Service (IaaS)
  • INDUSTRIES
  • Construction & Infrastructure
  • FUNCTIONS
  • Maintenance
  • USE CASES
  • Predictive Maintenance
  • ABOUT CUSTOMER
  • INSEE Cement, also known as Siam City Cement Company (SCCC), is a leading cement manufacturer in Southeast Asia. It manufactures INSEE branded cement, Ready-Mix Concrete, construction aggregates and solutions to serve a widespread regional market that inc
  • CUSTOMER NAME
  • INSEE Cement
  • CONNECTIVITY PROTOCOLS
  • SOLUTION
  • Working closely with existing suppliers, Senseye integrated with SCCC’s SAP PM system, allowing for an automated detection, diagnostic and prognostic system across all factory assets. The complete Computerized Maintenance Management System (CMMS) integration ensured a ‘closed loop’ learning system, requiring minimal training for end-users and improving maintenance accuracy

  • DATA COLLECTED
  • OPERATIONAL IMPACT
  • Impact #1
    [Process Optimization - Predictive Maintenance]

    Automated learning based on closed work-orders from SAP PM

    Impact #2
    [Data Management - Data Availability]

    Automated work-order creation based on prognostic insights

    Impact #3
  • QUANTITATIVE BENEFIT
  • Benefit #1

    Expansion in progress to 10+ sites.

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