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Research & Innovation

Research That Actually Means Something

Most industry research is written for people who already agree with the conclusion.

GoSmarter covers academic research, industry studies, and data-backed analysis that is relevant to metals manufacturers. The question is always the same: does this help a production manager make a better decision?

Topics include:

  • AI adoption in manufacturing: what the adoption data shows, not what vendors claim
  • Scrap reduction and yield research: measured outcomes from real facilities
  • Workforce and skills studies: the human side of automation
  • Industry 4.0 implementation research: what separates the pilot projects from the deployments that stick
  • Environmental impact studies: scope 1 and 2 emissions in metals production

Where research findings have direct implications for how GoSmarter builds its tools, that is noted explicitly. Where the evidence is mixed or the sample sizes are small, that is noted too.

Good decisions come from clear data. That is what these posts aim to deliver.

Galetech Group

Galetech Group is a leading player in the renewable energy sector, offering a comprehensive set of solutions throughout the renewable energy lifecycle.

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Accelerating digitalisation in pallet manufacturing

CJS Group are the largest manufacturer of timber packaging and pallets in Ireland, with 350 staff across 10 locations. The company has a history of M&A activity, which has resulted in different operational approaches and systems from site to site, which has lead to a need to optimise through consolidation in order to scale further.

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Accelerating Digitalisation with Philtronics Limited

Accelerating digitalisation with electronics manufacturer Philtronics Limited

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MAAS Case Study

MAAS are a leading Irish manufacturer of machined parts and components for an impressive range of customers including Apple, Stryker, Alcon, ESB, Abbott. A Digital Review with NHQ has helped them support future growth.

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Freight Logistics Green Mile Case Study

A technology and data driven approach reduces transport emissions. This tool is a practical approach to support FLS’ sustainability goals, reduce costs and help change commercial behaviours by using data and analytics to help customers understand their environmental footprint.

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Data sharing platforms for Influenza and RSV

As part of the ongoing work on the causes and spread of respiratory disease, the Helmholtz Centre for Infection Research in Germany sought to build on the success of the open research platform collaborating on the seroprevalence of SARS-CoV-2 (serohub.net). We rapidly scaled two additional open research platforms supporting greater collaboration on the seroprevalence of Influenza and Respiratory Syncytial Virus (RSV). ​

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TMD Technologies Manufacturing Case Study

TMD Technologies Limited (TMD) is among the world’s leading manufacturers of microwave tubes, high voltage power supplies, and transmitters for radar and communications applications. We helped them improve their back-office operations by deploying no code digital tools and delivering technical training. ​

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Midland Steel Manufacturing

Midland Steel is a market-leading reinforcing steel supplier in Ireland and the UK. They offer a diverse range of prefabricated rebar solutions. We completed a company-wide digital review looking at processes and technologies used across the business and delivered a comprehensive roadmap and action plan for implementation. ​

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German research centre shares COVID-19 data globally

To support data sharing and knowledge dissemination, the Helmholtz Centre for Infection Research partnered with NHQ to create a global COVID-19 study platform.

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Logistics firm liberates staff with data automation

After FLS Logistics realised how much time their staff spent on spreadsheets and data, they had to find an alternative. They wanted a data warehouse and our fast-track services were the perfect solution for them so that they could have near real-time visibility without increasing IT headcount. They freed up more than 50% of staff’s time from laborious data entry!

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