Data is vital in modern industrial operations. However, many businesses often deploy data collection and analytics systems in a way
Data analytics and management Insights
With an overall turnover of €1,109bn and more than 4.5mn people employed across the continent, the food and drink industry is undoubtedly
Digital transformation has become a goal for many businesses in the industrial sector, as automation technologies develop and the fields
In the fourth industrial revolution — or Industry 4.0 — data is the new electricity. Before we can truly begin to revolutionise industry, more businesses need to have the means of capturing, storing and analysing their industrial process and operations data.
Most manufacturers have started taking steps to reduce energy demand by investing in energy efficient technologies and metering systems. However, these technologies are only as useful as they are monitored and managed, which can be difficult for larger businesses.
Production challenges do not wait on IT developments, and getting to the root of a problem, or identifying the conditions that hinder smooth operation, does not always have to be rocket science.
Effective industrial data collection, aggregation and visualisation software has made it possible for manufacturers to gain insights into their processes.
The global demand for pharmaceutical products has grown consistently since the turn of the century. Despite the growth in demand and market value, pharmaceutical manufacturing has by and large neglected many of the productivity and efficiency benefits presented by automation systems.
With many industrial data strategies falling short, can industrial businesses achieve an effective data strategy?
COVID-19 has revolutionised all our lives. The next big challenge that the manufacturing sector faces is getting employees back to work, safely, and kick-starting production.
alk of Industry 4.0 has been useful in helping businesses understand the value of industrial automation and connectivity. But a lot of it is just hype, and many of the technologies are not being adopted as broadly or effectively as they could be.
This theme of increased data collection has become fossilised by modern automation, as well as health and safety standards, both of which rely on complete data handling to operate robotics and keep workers safe respectively.
Historian software systems, combined with thoroughly implemented monitoring equipment, collect data from every available variable on a production line.
There are many ways that unplanned downtime can negatively impact a business. In continuous process industries downtime causes produce to be lost. The costs of this further impact the bottom line, beyond just lost profits.
With new technologies, plant managers should not only focus on short-term but also the longer-term future, and do so through continuous improvement.
The oil and gas industry is perhaps one of the most important to the global economy, with the combined economic value of upstream oil and gas sectors accounting for at least an estimated five per cent of the entire global economy.
For many operators, data analysis and management still sometimes becomes a matter of Historian systems versus the cloud. Instead, the best option may be to use the two together.
With an estimated seven billion IoT devices in the world, it’s not surprising that companies can generate overwhelming amounts of operational and environmental data, bringing with it the potential for substantial process improvement.
The consumption of safe and nutritious food is a basic human right, with safe being a key word. Unfortunately, it’s not uncommon for the safety of food to be called into question, leading to recalls and extensive investigation.
It’s no secret that data collection is important for generating valuable insight that helps plant managers improve efficiency in industrial systems. However, what seems unknown to many in the industry is the importance of understanding the context of the data being analysed