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MCT | Research

Collaboration Research Partners


SIMTech maintains numerous collaborations with many Universities and Institutes of Higher Learning, both locally and overseas. Such research partnerships foster collaborative relationships between research institutions across a broad range of topics and introduce opportunities for new and interesting areas of research built upon the strengths and experiences of each institute, which can be translated into applications for industry.



Nanyang Technological University (NTU)

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The objective of this Joint Lab (JL) is to develop competencies in the field of manufacturing execution complexity management and complex supply chain network management through basic research. The research of the lab focuses on unresolved issues in supply chain operations and manufacturing production. As of August 2018, the lab has attracted more than 3.19 million of extramural research funding collectively, with the main thrust of the research for supply chain and manufacturing operations. The Joint Lab has also published 22 high impact journal and 55 conference publications. It has also worked actively with industry to apply the research results to resolve real industry problems such as last mile logistic planning and vehicle routing.

The key features of the collaboration include:
- Computational Intelligence
  • Data mining & analytics (DMA)
  • Large-scale machine learning & deep learning (LMDL)
  • Large-scale dominant feature mining & Reduction (LSFR)
  • Intelligent decision support/making

For more information about the university, please click here


National University of Singapore (NUS)

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The collaboration between SIMTech and NUS focuses on managing the complexity in the modern manufacturing system. With the advent of Industries 4.0 onto the manufacturing landscape, the generation of data will reach unprecedented levels, in both structured and unstructured data. The goal of the collaboration is to develop predictive models for process quality estimation that can analyse non-linear data in complex manufacturing processes.

Features of the collaboration include:
  • Development of deep architecture models with greater depth structure and higher capacity to analyse complex non-linear data
  • Development of algorithms to address fundamental problems in information propagation

For more information about the university, please click here


Technical University Braunschweig (TUBS)

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The collaboration between SIMTech and TUBS focuses on research and development activities in environmental sustainability in manufacturing activities. As manufacturing activities increasingly take place in urban centres, a balance is sought between optimal resource use, the demand on common resources, and the impact on the environment.

Features of the collaboration include:
  • Research and development of technologies relating to efficient resource use in manufacturing
  • Mutual enablement of Model Factory@SIMTech and Learning Factory of Technical University Braunschweig as testbeds for new resource efficient technologies

For more information about the university, please click here

Technical University of Munich (TUM)

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The collaboration between SIMTech and Makino is to develop, demonstrate and showcase the latest technologies to enable highly effective smart manufacturing for Precision Engineering industry by using latest in automation, connectivity, sensorisation, digitisation and data analytics, to meet the rising needs for precise coordination and flexible manufacturing in high-mix low-volume production.

Major areas of research collaboration include:
  • Industrial AI for Smart Manufacturing
  • Worry-free Mould & Die Production

For more information about the university, please click here