EUAudio

In industrial manufacturing, reinforcement learning is used in processes where complex decision-making skills are required, especially where machines need to cope with changes in dynamic environments. This episode of EUAudio looks at how this method can be applied in order to increase productivity.

Deep learning requires very high computational power, relying on fast processors, dedicated graphics cards and ample amounts of computer memory. Manufacturers who can successfully apply this method to their production lines and supply chains will reap the benefits in problem-solving and increased productivity.

In a manufacturing environment, two main models of machine learning are used – supervised and unsupervised learning. Choosing the right machine learning method and perfecting the algorithms will involve a lot of trial and error and will take time and effort. This episode of EUAudio aims to help ease that process.

When a warehouse isn’t well organised, errors can occur and some businesses worry that introducing automation can be an expensive process requiring them to update and upgrade all of their legacy equipment. This episode of EUAudio discusses how plant managers can increase the efficiency of their inventory management processes using affordable automation.

How can manufacturers improve productivity on the factory floor without spending a fortune? In this episode of EUAudio, we look at advancements that SMEs can make even if they don’t have the budget to facilitate large-scale investment.

Legacy equipment wasn’t designed for the mass machine-to-machine communication necessary to create a smart factory. In this episode of EUAudio, we look at how SMEs can attain the goal of creating a smart factory without the financial burden of replacing all their machines and equipment.

Everyone realises that training is a valuable resource, especially in an industry where human error can be expensive and dangerous for both the individual and the businesses reputation. The question is not whether or not manufacturers should upskill their workforce, but rather what training programme will add the most value to the company. So, how do you calculate that?

The idea of a skills gap initially gained traction immediately following the 2007-8 financial crisis. Around the same time, another concept started to emerge in the start-up and venture capital scene — the valley of death. Could it be that the skills gap and the valley of death influence each other? If so, what can manufacturers do to break this vicious circle and spur innovation?

For many manufacturing businesses, legacy equipment forms the backbone of the factory. Technicians who’ve worked with specific types of equipment for decades are a great resource for manufacturers, but when they retire, they take their hard-earned expertise with them. Younger workers will be eager to embrace emerging technologies, but what about trusted legacy equipment?

2019 marked the 50th anniversary of Concorde’s first flight — it took off from Toulouse, France for its first test flight on March 2, 1969. Although no longer in operation, the development of Concorde led to the progression of pioneering technologies, which still help today’s aerospace engineers develop new high-speed aircrafts.