Digitization, automation, and artificial intelligence in manufacturing have paved the way for new production methods. If employees are going to take on new responsibilities and operate connected devices, they need to be upskilled and trained accordingly.
LiDAR doesn't typically appear on disruptive Industry 4.0 technologies lists, but it may serve a foundational role in preparing facilities for this transition. Here's a closer look.
Industry 4.0 and IIoT were supposed to improve forecasting, reduce supply chain snarls, and allow manufacturers to better plan production. But the overwhelming challenges of the pandemic and its aftermath show how far the industry still needs to go.
The latest wireless charging solutions use techniques based on the principle of electromagnetic induction. When an alternating current is passed through an induction coil on the transmitter side, an oscillating magnetic field is created.
There is currently no end in sight for increasing energy costs. Nevertheless, it's an opportunity for manufacturers to reevaluate their current supply chains and internal processes, and embrace more energy efficient production through Industry 4.0.
As more oil and gas companies gear up for Industry 4.0 in the wake of COVID-19 this white paper explores some of the core technologies-Digital Twins, Industrial IoT Platforms, Big Data analytics, Artificial Intelligence, and more-that accompany digital transformation.
One of the biggest challenges that enterprises face in their digitalization efforts is having too many complex data silos and applications that don't follow a common architecture.
The dilemma rests with whether Manufacturing Operations Management (MOM) or Manufacturing Execution System (MES) is a holistic solution to achieve Industry 4.0 transformation.
Siemens used IoT sensors and data analytics to create a digital twin of the factory. By analyzing and adjusting various parts of this model, the facility could see where inefficiencies were and which changes would have the greatest impact.
Given the criticality of usable data at scale for Industry 4.0, many manufacturers have turned to ISA-95-probably the most commonly recognized data-modeling standard around the world-for guidance.
The benefits of industry 4.0 in manufacturing are clear, but unlocking them requires organizations to overcome capacity constraints. The keys are in these change management strategies.
Industry 4.0 is truly the future of manufacturing. Automation, robotics, machine learning, and data analytics are just a few examples of how the fourth industrial revolution affects the way wire and cable is made and how well companies compete on the world stage.
The multitude of challenges that manufacturers face today is accelerating the need to adapt process innovation, embrace technology, and digitalize operations. Transformation is essential for manufacturers to become more resilient, agile, productive, and profitable.
Due to digitalization in Industry 4.0, internal logistics is subject to constant change. Internal traceability, i.e. the tracking of goods in the warehouse or production facility, is increasingly playing a key role.
Obsolescence is the natural consequence of continuous advances in technology. As such, it is impossible to eliminate it completely. However, it is possible to manage it strategically to minimize its negative impact on your business.
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This GB56 right-angled, coupling driven gearbox from Parvalux packs a powerful punch in a small package. A width of 39mm and an output torque of 50 Nm in short-term operation. Ideal for applications where space is at a premium.