About 3DEXPERIENCE On Wheels : Connected Factory

The Industry Renaissance is emerging worldwide and is driven by virtual worlds created and managed on virtual experience platforms, the infrastructure of Industry Renaissance. This infrastructure allows us to visualize and control in the virtual world what we cannot see in the real world: the entire industrial ecosystem.

Digital technology, in enabling virtual experiences, changes our world. Digital is a transformational medium, improving productivity and competitiveness by making it possible to simulate and evaluate performance and impacts before a product is made. Digital enables people to imagine differently, simultaneously inventing, mapping, modeling, engineering and managing new environments.

The Future of Manufacturing lies in harnessing this entire digital ecosystem to deliver exciting and sustainable experiences to eager customers. The Future of Manufacturing is based on the concept of the smart factory, which interconnects machinery and systems on production sites, but also outside to clients, partners and other production sites. It’s not just digitalized manufacturing. Instead, it is digitalized manufacturing informed by new ways of inventing, learning, producing and trading that are shaking all sectors of the economy and society.

The 3DEXPERIENCE On Wheels : Connected Factory is a campaign that will reach out to large enterprises and their SME clusters in West and South regions. The Connected Factory journey is in line with our proposition of “Create in India” that accelerates design, innovation, production and manufacturing under one collaborative, experiential platform.

Through this campaign, we will showcase an actual functional factory assembly line mounted on a vehicle that will display five experiences critical for a smart and connected factory. These include Lean Management, Advanced Production Scheduling (APS), Manufacturing Operations Management (MOM), Manufacturing Analytics and 3DEXPERIENCE Twin.


Digitalize Operations

Digitalizing manufacturing is a necessary part of a larger transformation -- the transformation of the entire industrial ecosystem to one that is virtualized and digitalized. New business models will create new demands on manufacturing. Manufacturers need to invest wisely for this transformation.

Accelerate Innovation

The pace of business keeps accelerating, along with consumer demand for better, faster goods and services. Manufacturers must embrace a digital transformation of their entire enterprise and its extended ecosystem to get to market quickly.

Overcome Complexity

The “one size fits all” concept is gone. Mass production is being replaced with mass customization. Supply chains are more complex, interwoven and diverse must be digitalized to provide visibility to the OEMs. Meanwhile, margins shrink and skilled employees are harder to find.

Operate Globally, Serve Locally

Crucial decisions about future technology and IT investment could well determine companies’ survival. Diverse production sites must be managed uniformly, managers must be able to see and control extended supply chains while understanding and serving local customers' needs.

Increase Responsiveness

Since the third Industrial Revolution, manufacturing has been one of the most stable sectors. Now, processes that used to last for years quickly become obsolete. Consumer demand can change overnight, new technologies are disruptive in a heartbeat and processes once cast in stone must now be flexible and easy to change. Agility, whether local or global, is now crucial.

Drive Operational Excellence

Competition and consumer demand puts relentless pressure on operational performance. Most global manufacturers have addressed the “easy” fixes, such as Lean production. But continuous improvement means never-ending change. Manufacturers need more than a commitment to continuous improvement; they need resources and technology to achieve it.



  • Faster and better reaction to manufacturing issues
  • Stronger collaboration within and between teams
  • Fewer non-value-added tasks


Increase efficiency with digital lean

  • Digitalize Lean and facilitate Lean practices across organizations for continuous improvement
  • Manage operational performance and Lean KPIs.

Digitize sustainable continuous improvement

  • Best-practice benchmarking and sharing for operational processes
  • Cross-functional and cross-organizational collaboration for greater awareness

Improve team intelligence

  • Collaborative worker interaction and creativity within and across peer groups
  • Capitalized know-how of the company for better collective intelligence


OEMs and suppliers need comprehensive planning and scheduling capabilities at enterprise, plant, and line levels while seamlessly supporting digital continuity across all aspects of manufacturing operations (production, quality, material synchronization, and performance management)


  • Optimize demand & supply planning, forecasting and what-if scenarios
  • Optimize planning to reduce lead time and inventory
  • Get timely visibility for better decisions and results
  • Enhance quality processes and global manufacturing controls
  • Better synchronize global production operations



  • Manage new customer demands, highly customized products, shorter delivery times
  • Optimize costs to improve margins

Manufacturing point of view

  • Better synchronization across all manufacturing activities
  • Improve efficiency of manufacturing assets
  • Capitalize, share and develop operator skills


Increase effiency

  • Visibility, control, orchestration and automation of operational activities
  • Business process activities and exhaustive data collection for informed decision support and continuous improvement
  • Comprehensive performance monitoring

Improve quality

  • Comprehensive and real-time quality management across the enterprise
  • Quality, traceability and genealogy across parts, processes and resources
  • Corrective actions to resolve problems and quality issues

Improve speed and agility

  • Business process-driven tasks and exception handling for agility and responsiveness
  • Real-time digital continuity across engineering and manufacturing
  • Visibility and synchronization of operations across departments to reduce risk


  • Connect and aggregate data from disparate sources in a unified way
  • Achieve high volume and velocity of manufacturing data from sensors


Increase productivity

  • Business context of production and machine data for decision support
  • Real-time monitoring and performance of manufacturing assets with IIOT
  • Machine-learning and analytics to optimize asset utilization

Improve efficiency

  • Benchmark performance across multiple factories through analytics
  • Automate data collection and eliminate mundane non-value-added activity
  • Enable data-driven alert and exception handling to minimize operational downtime and risk

Increase quality

  • Contextualize quality resolution by leveraging a comprehensive set of data types and sources
  • Provide intuitive and powerful visualization to understand complex problems impacting quality
  • Provide AI-based decision support for a wide range of process and product quality issues



  • Limit risk when investing in new manufacturing assets or existing facility change, thanks to virtual simulation and validation to validate projected results in advance

Modelization point of view

  • Reduce cost and time to digitalize existing resources to generate models for simulation
  • Manage large numbers of product variants having a high-frequency of product changes
  • Simulate manufacturing processes and validate asset capability in context of real organizational conditions


Increase speed and efficiency

  • Validate and test manufacturing strategies, processes and throughput to understand enterprise behavior
  • Reduce time and cost by simulating the impact of product introductions and changes or factory configuration changes

Increase responsiveness and agility

  • Identify and reduce the risk of interdependencies and bottlenecks with what-if scenario analysis
  • Achieve real-time digital continuity between product engineering, manufacturing engineering and manufacturing operations
  • Virtually model manufacturing processes based on real production constraints and data




Andhra Pradesh

Tamil Nadu


  • Mysore
    12th August - 13th August
  • Bangalore
    20th August - 4th September
  • Kolar
    5th September - 6th September
  • Bangalore
    9th September - 10th September




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