23 August 2021
Due to the worldwide pandemic, many manufacturing and production lines have come to a halt. As companies slowly start to reaffirm production lines, it’s also the right time to look at how to optimise these productions. With the use of manufacturing analytics, it’s possible to improve production and anticipate issues.
As more consumers are adopting social distancing as the new normal, ecommerce companies are seeing a boom. This shift in purchasing power is leading to the depletion of important resources. For example, did you know there is an impending cardboard shortage on the horizon? Why? Because every single parcel is protected by a cardboard box. The uptake in online orders means an uptake in cardboard boxes, and there’s no real way to fix that right now.
But it is possible to course-correct these kinds of issues.
It’s the use of production line, resource, and event data to optimise manufacturing as a whole. And manufacturing organisations potentially have a wealth of information that is ready to be mined – it doesn’t matter if your company assembles cars, creates plastic toy bricks, or prints paperback novels.
Let’s say you own one of the companies that create cardboard packaging for ecommerce stores. There are a lot of steps to the process, from securing cardboard sheets, to creating dies for cutting, to potentially outsourcing any logo printing that needs to be done. With the use of manufacturing analytics, you can have a complete overview of the box production, along with any areas that can be improved upon.
All of the manufacturing data should be consolidated in a central location. The output from die-cutting machines, to the storage area for raw materials, to the price of components from suppliers – all of it should be in one data warehouse for ease of use and to support your analytics.
This is where data analytics systems, like Qlik Sense, come into play. With Qlik’s powerful associative engine, important data insights can be uncovered quickly.
With Vizlib Library, a value-added product for Qlik Sense, plant managers can view all key metrics at a glance. This enables them to easily eliminate inefficiencies with integrated analytics and minimise supply chain delays.
By adding Vizlib’s Self-Service low-code product, all employees can discover important data insights with ease. Any cumbersome manufacturing analytics dataset becomes a breeze to explore by anyone and eliminates the need to employ data scientists within the organisation.
The right analytics solution can help to keep your supply chain on track. Do you want to take your manufacturing to the next level? Sign up for a Vizlib demo today.
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