Industry
4.0
Enterprise. Orchestrated.
Industry 4.0, also known as the fourth industrial revolution, is a term used to describe the integration of advanced technologies and digitalization into manufacturing and other industrial processes. The first three industrial revolutions were driven by steam power, electricity, and digital technology, respectively. Industry 4.0 builds on these developments to create a more connected, efficient, and automated manufacturing environment.
Industry 4.0 technologies include the Internet of Things (IoT), artificial intelligence (AI), big data analytics, robotics, and advanced materials. These technologies can be used to automate and optimize manufacturing processes, improve quality control, and reduce waste and downtime.
Industry 4.0 also emphasizes the importance of collaboration and integration between different systems and stakeholders, including suppliers, customers, and other partners. This can help to create more agile and responsive supply chains, improve communication and coordination between different departments, and enhance overall business performance.
Overall, Industry 4.0 represents a significant shift in the way that manufacturing and industrial processes are designed, implemented, and managed. By leveraging advanced technologies and digitalization, organizations can gain a competitive advantage and drive innovation and growth in the global marketplace.
Plant Operations > IIoT > HMI > SCADA >
Enterprise Resource Planning (ERP) and surrounding systems: Customer Relationship Management (CRM), Supply Chain Management (SCM), Human Resources Management System (HRMS), Information Technology Service Management (ITSM), other COTS and In-house Built Applications.
Integrated Applications and Analytics.
In-house and Cloud Planning, Migrations and System Operations.
Process focused Work Instructions.
Leverage a Data Dictionary and "Metadata" for the Enterprise to assist with planning software applications and the data landscape.
Enterprise Metadata >
Enterprise Business Processes and Technical Processes for Systems and Data.
Align key processes across the Enterprise to achieve optimal performance. Sync Enterprise Applications and Analytics.
Time intelligence speeds operations and provides clear communication with Associates, Customers, Partners and Suppliers.
Formal Lean Six Sigma or streamlined methods and techniques.
Define, Measure, Analyze, Improve and Control
Statistical Process Control (SPC): Run Charts, Control Charts and Design of Experiments
Gain the process advantage and include learning in the EDW and Data Lake.
Enterprise Visualizations, Dashboards and Reports.
Leverage Desktop Excel, SQL, R, Python and Scala code. Hyperscale activities.
Integrate Data Science activities in the EDW for Enterprise-wide computations.
Enterprise Applications, Other Data, EDW and Data Lake.
Data Roadmap >
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