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From connected machines to decisions that make themselves

Industry 4.0 that changes the shift

Talk to a manufacturing engineer

We have done this on a real plant floor

We have done this on a real plant floor

Harns delivered the pioneering Industry 4.0 implementation at the Times of India print units. Print is an unforgiving place to learn: the presses run to a deadline that does not move, and a system that gets in the way is switched off by the people it was meant to help. Everything on this page is shaped by that.


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Most plants have more data than decisions

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Most plants have more data than decisions

The sensors are installed, the data is collected, and it is stored somewhere respectable. What is missing is the loop back into a decision. Data nobody acts on is a cost, and it is the usual outcome of a programme scoped around technology rather than around a judgement somebody makes every shift.


The factory floor and the office speak different languages

The factory floor and the office speak different languages

The hard part is rarely the sensor. It is that the equipment talks one protocol, the business system expects another, and the two have never been made to agree on what a batch or a shift even is. That translation layer is most of the work in any honest Industry 4.0 project.


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Start where it hurts, not where it demos well

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Start where it hurts, not where it demos well

Pick the decision that is made often, made from poor information, and has a consequence you can measure: unplanned downtime, scrap, a changeover that always overruns. Close that one loop, prove it, then repeat. A plant that has closed five loops this way is doing smart manufacturing whatever the roadmap calls it.

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According to a Forbes article, "The Fundamentals and Impact of Industry 4.0," Industry 4.0 led to

35%-40%

downtime reduction

35%-40%

quality improvement

15%-20%

production improvement

15%-20%

an overall productivity improvement

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Machine Health

Alaiv keeps your machines at peak efficiency with continuous monitoring and predictive maintenance, tracking vibration, temperature, and energy to prevent downtime before issues arise.

Poductive and Efficient

Alaiv provides full visibility from shop floor to top floor, tracking production, machine efficiency, quality, and workforce productivity on a unified dashboard.

Robust Data Visualization

Robust Data Visualization turns complex industrial data into clear, real-time insights, unifying departmental data so teams can monitor trends, detect anomalies, and act quickly from shop floor to boardroom.

Smart Start with Harns i360°Assessment

Kickstart your Industry 4.0 journey with Harns i360° Assessment. A comprehensive evaluation that identifies opportunities, gaps, and readiness for smart transformation.

KeyBenifits

What we put in place

Machine health and condition monitoring, with maintenance triggered before the stoppage
OEE, downtime and quality measured the same way across every line and site
The OT to IT connection: shop floor equipment talking to ERP and MES
Energy and utilisation visibility at the level where it can be acted on
Multi-site comparison that is fair, because every site records it the same way
Leverage your workflow and gain greater autonomy by transforming your business model with our innovative solutions today.
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