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  • Chemical industry | Siemens
    Manage and monitor all manual, continuous, and automated batch tasks in fine and specialty chemical production with Siemens Digital Enterprise Unified data enables full transparency and operational flexibility
  • The Future of Digitalization in the Chemical Industry
    To achieve the potential of digital transformation, chemical companies need a common framework for assessing current state, defining the desired future state, and mapping out specific steps on the digital journey
  • Transforming manufacturing with digital twins | McKinsey
    Digital twins are real-time virtual renderings of the physical world Digital twins can be developed for individual products, assets in the factory, the entire factory, and end-to-end across the supply chain
  • What is a digital twin? - IBM
    Digital twins enable continuous monitoring, simulation and analysis of an object, product or system over the course of its lifecycle, from design and production to maintenance and decommissioning They can also incorporate external processes and critical variables that affect an asset’s performance
  • Siemens unveils breakthrough innovations in industrial AI and digital . . .
    Spinnova is a Finnish technology company that enables circularity in textile manufacturing with sustainable and chemical-free fabric production using Siemens’ Digital Twin technologies and factory automation
  • Digital twins in manufacturing product development | McKinsey
    In this article, we will look at the way digital twins are being used in industry today, examine the factors that underpin a successful digital-twin strategy, and discuss the future evolution of this impactful technology
  • 2025 Chemical Industry Outlook | Deloitte Insights
    The American Chemistry Council (ACC) projects global chemical production to rise by 3 4% in 2024 and 3 5% in 2025, after increasing just 0 3% in 2023 5 However, even with chemical production improving and margins reverting to average levels, the industry still faces challenges and uncertainty
  • Digital Twin for the Oil Gas Industry | IBM
    In this context, a maintenance team would create a digital twin of a piece of equipment or machinery The twin will continuously collect data from the physical asset and use predictive analytics and machine learning (ML) algorithms to predict future performance
  • Digital Twin | Siemens
    Leverage the comprehensive digital twin to design, simulate, and optimize products, machines, production and entire plants in the digital world before taking action in the real world This helps manufacturers to tackle industry's biggest challenges
  • 2025 Smart manufacturing survey | Deloitte Insights
    All statistics noted in this report and its graphics are derived from Deloitte’s 2025 Smart Manufacturing Survey, conducted from August to September 2024 The total number of respondents in the survey is 600
  • End-to-end digital transformations for chemical companies
    Taking an E2E perspective allows chemical players to adapt faster to volatile market conditions and maximize profits For example, in the case of fast growth, digital and analytics can help unlock capacity by increasing yield and throughput while reducing costs





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