Applications & initiatives

Getting the most out of your logs

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** Titre CENTRÉ plus général à propos de l’application en question

Improving the material yield from the timber going through a sawing line is the first step towards improving the quality of the wood you produce. Once you understand that by the time a sawing run is complete and in the lumber yard any corrective action is in reaction to past issues, your end products just won’t have the quality you were shooting for.
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Conventional improvement methods just aren’t enough

The usual culprits of low material yield are the log diet, sawing recipes, and sawblades. Unfortunately, you can only look at them once you notice a problem and the damage is done.

Make your data work for you

A sawmill is essentially a large machine consisting of several thousand moving parts, operated by many, many people more or less all the time. High automation is a key feature of this machine, but despite operational technologies (OT), information technologies (IT), and the industrial Internet of things (IIoT), many of the line’s operations are still performed by people.

These people work hard every minute of every shift to do a good job in a full-immersion workplace. When things go south, staff literally climb in and around equipment pulling, turning, fixing, replacing, and sweating to get the line working. When that happens, performance indicators handed down from the corporate office aren’t all that relevant. If you want to improve as a business, you must engage with the people at all levels to make sure that improvement plans are developed, measured, reported, and acted on by the right people at the right place, time, and way.

With PMP TeamMate™ and, more specifically, PMP WeSaw™, you can, in only a few clicks, set up meaningful dashboards that speak to operators in the mill.

Higher quality and efficiency

With the right indicators, operators can react to issues as they arise, which improves efficiency and quality. Indicators that tell everything at a glance can offer supervisors, for example, more time to work on value-added tasks (instead of constantly troubleshooting) and reduce their stress, because they know that operators have the information to act unsupervised.

Easier analysis

More data means more room to analyze, an opportunity to discover and prioritize areas of improvement for “quick wins”. Such data-driven processes also make it easier to justify the operational expenses (OPEX) associated to the purchase of new equipment by being able to justify the cost with hard performance data.

Better key performance indicator definition and management

It’s really easy to measure just about everything in a sawmill. With thousands of transactions occurring every instant, however, it’s easy to get lost in the details—some performance reports run page after page of detailed data because someone (usually higher up) wants to see a regular report on a microscopic aspect of mill operations. This collection of numbers may look impressive and very important, but upon closer inspection most numbers in reports like this turn out to be quite useless to those who need to act on them to improve some aspect of mill performance.

By having contextualized data from OTs, it’s much easier to set KPIs and objectives that are relevant and (especially) achievable by everyone in the mill. By tapping into the power of IIoT and plugging it into strategic and operational planning with software like PMP TeamMate™, you can churn out actionable business intelligence and KPIs that are meaningful and engaging for everyone in your smart factory.

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