As another high-profile cyber-attack makes the news, many of us guiltily breathe a quick sigh of relief that it’s not us.

Most of us know the frustration of going to the supermarket and finding the exact ingredient you need is out of stock.

Encouraging the adoption of technology to improve outputs, quality and efficiencies often bring with it questions of where operators fit in current manufacturing technology trends.

Food and beverage manufacturing operations are facing greater competition on a global scale, along with changing customer preferences.

The interconnectivity of the Industrial Internet of Things (IIoT) is formidable. So many components seamlessly working together produce a bounty of positive outcomes for a company. Making better business decisions, uncovering inefficiencies and being proactive in mitigating risk are just a few of the benefits it brings.

Every process manufacturer knows, it takes a lot of data to feel like you’ve got a grasp on the production outcomes at your operation. That means for plant-based analytics past, present, and future, what’s become essential is flexible and reliable time-series data storage.

Determining appropriate inventory levels is one of the most important and most challenging tasks faced by supply chain managers. If you carry too much inventory, you tie up money in working capital and risk writing off perishable goods; if you don’t carry enough inventory, you face stockouts.

There’s a lot of talk about Industrial Internet of Things (IIoT). But how do manufacturers turn the buzzword into a real business advantage? By using the data-based technology to improve asset utilisation.

Manufacturing high-quality products at minimum cost is the goal for most companies. Industry 4.0 initiatives promise to get us closer to this dream than ever before. Despite being in varying stages of implementing a digital strategy and digitising operations, many in the manufacturing industry are seeing the huge opportunities these initiatives offer. One of the most talked about initiatives is artificial intelligence (AI).

As supply chains become complex and food and beverage manufacturers expand into new markets, the quality management process becomes more challenging.