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Driven by Data

Digitalization starts with the design of a product. Maserati needs to virtually create, simulate, and test their cars in a time efficient manner. The Maserati engineers needed to manage their project collaboratively across various locations.

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  • SUPPLIER
  • Siemens
    Siemens is the largest engineering company in Europe. With their positioning along the electrification value chain, Siemens has the knowhow that extends from power generation to power transmission, power distribution and smart grid to the efficient application of electrical energy.Featured Subsidiaries/ Business Units:- Digital Factory- Siemens Technology to Business (TTB)
  • INDUSTRIES
  • Automotive
  • FUNCTIONS
  • Logistics & Warehousing
  • CUSTOMER
  • Maserati is an Italian luxury vehicle manufacturer established on December 1, 1914, in Bologna, with around 1,100 employees worldwide.

  • CONNECTIVITY PROTOCOLS
  • SOLUTION
  • Siemens provided a solution with CAD software NX and PLM software Teamcenter.

  • DATA COLLECTED
  • Cycle Times, Installation Diagnostics, Operating Time, Production Efficiency, Setup Time
  • SOLUTION TYPE
  • SOLUTION MATURITY
  • Cutting Edge (technology has been on the market for < 2 years)
  • OPERATIONAL IMPACT
  • Impact #1
    [Product Improvement - Market Opportunities]
    Siemens' integrated solutions for manufacturing helped Maserati obtain a benchmark in the automotive industry.
    Impact #2
    [Efficiency Improvement - Time To Market]
    Programming time, production time, and installation time are shortened during the introduction of new products.
    Impact #3
  • QUANTITATIVE BENEFIT
  • Benefit #1

    With NX and Teamcenter, Maserati reduced 30% development time.

    Benefit #2

    Time-to-market time reduced to 16 months.

  • USE CASES
  • Factory Operations Visibility & Intelligence
    Visualizing factory operations data is a challenge for many manufacturers today. One of the IIoT initiatives some manufacturers are pursuing today is providing real-time visibility in factory operations and the health of machines. The goal is to improve manufacturing efficiency. The challenge is in combining and correlating diverse data sources that greatly vary in nature, origin, and life cycle.Factory Operations Visibility and Intelligence (FOVI) is designed to collect sensor data generated on the factory floor, production-equipment logs, production plans and statistics, operator information, and to integrate all this and other related information in the cloud. In this way, it can be used to bring visibility to production facilities, analyze and predict outcomes, and support better decisions for improvements.  
  • SOFTWARE
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