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The Hark Blog - Archive

Leeds University Business School – Integrating SDGs into Businesses and Marketing🎙️Interview

Hark sat down with Reika Igarashi, a postdoctoral research fellow in Marketing at Leeds University Business School and Sustainability Champion for the Marketing Department.

Reika Igarashi will be joining us for The Collaborative Sustainability Agenda. We spoke to Reika about how sustainable practices are being implemented in academia and how companies are tackling sustainability.

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digital twins representation

How Digital Twins are Dominating Industry Transformation

Digital twins are a digital representation of a process, service or physical object. This computerised replica of the system or object is used to predict and assess performance and behaviour. A Digital twin’s main aim is to aid decision making by providing realistic indications of a systems current and future behaviour.

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automotive factory

Automotive Mega Factories

If the Autumn fuel crisis had done anything other than make headlines and annoy motorists, it had brought to focus the significant benefits of the switch to electric vehicles (EVs). As the seemingly straightforward answer for the least-environmentally friendly industry, the EV movement is garnering some real momentum.

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performance analytics on tablet

Industrial IoT and Shift Detection

Shift patterns and shift management plays a huge role in the energy efficiency and productivity of industrial assets. Providing insight into asset shifts is the key to discovering system inefficiencies and unlocking control strategies which can simplify operation and ensure production targets are met.

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Waveform blog image

What is Mechanical Vibration Analysis and Why is it Important?

Vibration analysis is one of the most important and effective methods of detecting the health of machinery. Vibration data can help us identify faults or detect warning signs of potential failures. It can also aid in the detection of misalignment or unbalance of assets such as bearings and rotating pieces of equipment. By looking at vibration data, we can also identify high and damaging levels of vibration.

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