Programme themes Smart Manufacturing

<div><table id="table_pagvld_259752_0" class="table_pagvld_259752_0"><caption>3 themes</caption> <thead> <tr> <th scope="col" id="th_pagvld_259752_0" class="th_pagvld_259752_0"> </th> <th scope="col" id="th_pagvld_259752_1" class="th_pagvld_259752_1">Production challenges</th> <th scope="col" id="th_pagvld_259752_2" class="th_pagvld_259752_2">Research goal</th> <th scope="col" id="th_pagvld_259752_3" class="th_pagvld_259752_3">Research topics</th> </tr> </thead> <tbody> <tr> <th scope="row" id="th_pagvld_259752_4" class="th_pagvld_259752_4"> <p>1.</p> </th> <th scope="row" id="th_pagvld_259752_5" class="th_pagvld_259752_5"> <p>Manufacturing throughput & quality</p> </th> <th scope="row" id="th_pagvld_259752_6" class="th_pagvld_259752_6"> <p>Hyper efficient, smart manufacturing, zero defect manufacturing, first time right</p> </th> <td id="td_pagvld_259752_0" class="td_pagvld_259752_0"> <p>Throughput</p> <ul> <li>System-level performance (quantitative)</li> <li>Cycle time analysis bottleneck identification</li> <li>Real-time insight in process status (micro, macro)</li> <li>Overall equipment efficiency improvement</li> <li>Improve planning (eliminate waste - time/resource)</li> <li>Dynamic correction of process interrupts</li> <li>Clear work instructions, auto generation work instructions</li> <li>Predictive capacity/ adaptive capacity</li> <li>Minimal user intervention</li> <li>Zero programming</li> <li>Autonomous manufacturing system</li> <li>Plug & play free form optics</li> <li>Vision in a loop</li> <li>Intelligent imaging</li> <li>Status intermediates</li> </ul> <p>Product quality:</p> <ul> <li>Quality control incoming goods</li> <li>Inline measurement/ inspection</li> <li>Component identification</li> <li>Component degradation data</li> <li>End-of-line testing</li> <li>Product calibration</li> <li>Life time extension</li> </ul> <p>System/ equipment quality:</p> <ul> <li>Diagnose/ repair manufacturing system</li> <li>System calibration</li> <li>Predictive maintenance</li> <li>Advanced analytics</li> <li>Virtual commissioning</li> <li>Human in the loop: integration of skill levels, quality control, operator instructions</li> </ul> </td> </tr> <tr> <th scope="row" id="th_pagvld_259752_7" class="th_pagvld_259752_7">2.</th> <th scope="row" id="th_pagvld_259752_8" class="th_pagvld_259752_8">Manufacturing variability</th> <th scope="row" id="th_pagvld_259752_9" class="th_pagvld_259752_9"><strong>High-mix low volume, high complexity</strong></th> <td id="td_pagvld_259752_1" class="td_pagvld_259752_1"> <p>Variability & flexibility:</p> <ul> <li>Reduction of changeover times</li> <li>Reprogram software control robotics</li> <li>Remanufacturing/refurbishment</li> <li>Variability in resource mix (labour, material, energy, supporting equipment), step schedular</li> <li>Assembly assistance (VR, AR XR)</li> <li>Reduced training effort</li> <li>Collaborative design</li> <li>Dynamic scheduling human & machine/robot actions</li> <li>Auto generation instructions from CAD & ERP, digital twin</li> </ul> </td> </tr> <tr> <th scope="row" id="th_pagvld_259752_10" class="th_pagvld_259752_10">3.</th> <th scope="row" id="th_pagvld_259752_11" class="th_pagvld_259752_11">Digitalisation & value chain integration</th> <th scope="row" id="th_pagvld_259752_12" class="th_pagvld_259752_12"><strong>Digitalisation, ecosystem assembly, transparency & consistency</strong></th> <td id="td_pagvld_259752_2" class="td_pagvld_259752_2"> <p>Digitalisation:</p> <ul> <li>Digital baseline</li> <li>Platforms and modularity manufac. System</li> <li>Increase capabilities & improvement cycle</li> <li>System analysis & simulation (digital twinning)</li> <li>Improvement/ automation analysis</li> <li>Production line concept and analysis</li> <li>Data architecture (product, test, MES, PLM, ALM)</li> <li>Industry 4.0 apps</li> <li>Operational algorithm runtime</li> <li>Digital connector</li> <li>Asset Administration Shell (AAS) and factory planner</li> <li>Data integration & security</li> <li>Cyber physical systems / digital twinning</li> <li>Artificial Intelligence (AI)</li> </ul> <p>Value chain integration:</p> <ul> <li>Smart Connected Supplier Network (SCSN)</li> <li>Supplier & product quality management</li> <li>Manufacturing ecosystem integration</li> <li>Component identification, track & trace</li> <li>Logistics, inventory, picking, intermediate storage</li> <li>Design & specification collaboration</li> <li>New forms of procurement</li> <li>Trust governance policies & templates</li> <li>Service & refurbishing</li> <li>Digital product passport (DPP)</li> </ul> </td> </tr> </tbody> </table></div>

Digitalising and smarter production in the manufacturing industry

Thema:: Smart manufacturing

By fully embracing smart manufacturing, the Dutch manufacturing industry can make an impressive leap in the coming years and be a major forerunner within Europe by 2030. Ambitious? Certainly. At TNO, we’re convinced that the Dutch manufacturing industry has what it takes to make the necessary digitalisation leap in the coming years.

The power of smart manufacturing

Unprecedentedly speed and efficiency in product design, production, and delivery – this is the power that digitalisation brings to the manufacturing industry. And it doesn’t stop there. Smart manufacturing can also ensure that the manufacturing industry responds more quickly to societal challenges, such as the need for more sustainable production methods and the ability to adapt to individual client requirements – even in mass production – to better match supply with demand. In these times of geopolitical tension, the transition to smart manufacturing can also significantly contribute to Europe’s quest for greater strategic autonomy.

The technology is only part of the story

There is still a lot to be done. For instance, there is still a lack of consistent, long-term R&D programmes that focus not only on client demand, but also on the common problems faced by manufacturing companies as they make the digitalisation transition. In doing so, it is worth remembering that it is not enough to only focus on the technical side of things. Digitalisation requires not only a cultural change, but also major organisational adjustments and process optimisation. This immediately explains why, despite the availability of advanced technological solutions, it is still a big challenge to realise the ambitions of smart manufacturing.

Transformations

In addition to digitalisation, production technologies and networks are also essential. Eight transitions play an important role in this. This is shown schematically in the Smart Industry Wheel, the Dutch elaboration of Industry 4.0 and 5.0. These eight transformations are the starting point for the National Action Agenda, which will help manufacturing companies, ICT companies, and public authorities to collaborate with a clear focus and coherence.

The 8 key transformations for Smart Industry described in a the Smart Industry wheel consisting of: Flexible Manufacturing, Smart Products, Servitization, Digital Factory, Connected Factories, Sustainable Factory, Smart Working & Advances Manufacturing.

Manufacturing throughput and quality

Focus on hyper efficiency, zero-defect, first-time-right production.

Solutions to make robots, sensors, and production machines work together flawlessly and autonomously adapt to changing production flows. Flexible and competitive production thanks to the power of robotisation and automation.

Manufacturing throughput and quality

Manufacturing variability

Harnessing the potential of robotisation and digitalisation to produce a specific part at a cost more in line with mass production.

Manufacturing Variability

Value chain integration

Automation of the entire production process and digital collaboration with suppliers, service providers, and customers. Tools for manufacturing companies for a digital and autonomous production environment.

Value chain integration

Approach

TNO is developing applicable knowledge and uniting partial solutions into integral solutions that will take your manufacturing company forward. Collaboration is self-evident. From our independent role, we bring all stakeholders together. Everyone works from their own expertise, allowing their knowledge and skills to be used optimally. We innovate mostly in fieldlabs and our own research facilities. Together with our partners, we devise, develop, and test solutions to challenges in smart manufacturing there. This helps us gain an impression of their practicality and consistently helps us to make the state-of-the-art possibilities tangible and applicable. In the field of smart manufacturing, we work closely with the Smart Industry Programme Office and Holland High Tech and, as TNO, we have a good overview and independent opinion on the latest state-of-the-art technology, available test facilities, integrator parties and cost-benefit analyses of the investments to be made in digitalisation, sensors, automation and robotics. We use a ‘test before invest’ approach, combined with short-cycle innovation, to minimise business investment risk, accelerate innovation, and increase the likelihood of success. Read more on the TNO Fast Track website.

Smart Industry impact: looking back and forward

Want to know more? Read the whitepaper on on the impact of the digitalization of the manufacturing sector in the Netherlands with a special focus on SMEs.

Read the paper

Workfield Smart Manufacturing

3 themes
	Production challenges	Research goal	Research topics
1.	Manufacturing throughput & quality	Hyper efficient, smart manufacturing, zero defect manufacturing, first time right	Throughput System-level performance (quantitative) Cycle time analysis bottleneck identification Real-time insight in process status (micro, macro) Overall equipment efficiency improvement Improve planning (eliminate waste - time/resource) Dynamic correction of process interrupts Clear work instructions, auto generation work instructions Predictive capacity/ adaptive capacity Minimal user intervention Zero programming Autonomous manufacturing system Plug & play free form optics Vision in a loop Intelligent imaging Status intermediates Product quality: Quality control incoming goods Inline measurement/ inspection Component identification Component degradation data End-of-line testing Product calibration Life time extension System/ equipment quality: Diagnose/ repair manufacturing system System calibration Predictive maintenance Advanced analytics Virtual commissioning Human in the loop: integration of skill levels, quality control, operator instructions
2.	Manufacturing variability	High-mix low volume, high complexity	Variability & flexibility: Reduction of changeover times Reprogram software control robotics Remanufacturing/refurbishment Variability in resource mix (labour, material, energy, supporting equipment), step schedular Assembly assistance (VR, AR XR) Reduced training effort Collaborative design Dynamic scheduling human & machine/robot actions Auto generation instructions from CAD & ERP, digital twin
3.	Digitalisation & value chain integration	Digitalisation, ecosystem assembly, transparency & consistency	Digitalisation: Digital baseline Platforms and modularity manufac. System Increase capabilities & improvement cycle System analysis & simulation (digital twinning) Improvement/ automation analysis Production line concept and analysis Data architecture (product, test, MES, PLM, ALM) Industry 4.0 apps Operational algorithm runtime Digital connector Asset Administration Shell (AAS) and factory planner Data integration & security Cyber physical systems / digital twinning Artificial Intelligence (AI) Value chain integration: Smart Connected Supplier Network (SCSN) Supplier & product quality management Manufacturing ecosystem integration Component identification, track & trace Logistics, inventory, picking, intermediate storage Design & specification collaboration New forms of procurement Trust governance policies & templates Service & refurbishing Digital product passport (DPP)

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Mark Courage

Functie:
Director Smart Industry
More about Mark
- Standplaats:
  Delft - Stieltjesweg
- Email:
  Email Mark
Sam Helmer

Functie:
Business Development Manager Smart Industry
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- Standplaats:
  Eindhoven - High Tech Campus 25
- Telefoon:
  +31 88 866 39 55
- Email:
  Email Sam
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  Sam on LinkedIn
Marc Schouten

Functie:
Business Development Manager Smart Industry
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  Email Marc
Jeroen Broekhuijsen

Function not known
More about Jeroen
- Standplaats:
  Groningen
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  Email Jeroen
Quincy Martina

Functie:
Programme manager Smart Industry
More about Quincy
- Standplaats:
  Den Haag - Oude Waalsdorperweg
- Email:
  Email Quincy
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Value chain integration

Informatietype:: Article

Explore automation opportunities, digitalization shifts, and data sharing in smart manufacturing. We guide companies toward digital and autonomous production.

over Value chain integration