The next great period of growth in manufacturing productivity will be driven, at least in part, from advances in machine sensing, engineering, and machine learning, which will provide robots with the capability to collaborate closely with workers and overcome variability. The original introduction of industrial machines and the production of goods in factories resulted in a dramatic increase in worker productivity over the course of the industrial revolution. In contrast, in the last 40 years, inflation-adjusted worker productivity in the United States has declined slightly, from nearly 65% in 1970 to under 57% in 2017. Specifically, in the period after the Great Recession, worker productivity in the manufacturing sector has shown, relatively, very little growth (seen below), though there has been substantial growth in robotics in the logistics and supply sector. Interestingly, there has also been little growth in the rate of purchases of industrial robots in the United States in this same time frame, while there has been significant investments in robotics in the logistics and supply space as warehouses become increasingly automated.
The Industry 4.0 led industrial environment is seeing another wave of automation and roboticisation of manufacturing processes, even beyond the extensive developments we have seen to date. Robots that talk to one another, robots that are increasingly autonomous and apply AI to decision making in more ways than ever before. Organisers from National Manufacturing Week have suggested four sessions perfect for manufacturers interested in learning about the major trends and issues around robotics and automation. Opportunities for Australian manufacturing SMEs to use collaborative robots, May 12, 11:30 – 12:05pm, Industry 4.0 Theatre Any gain in productivity can have a huge impact for small and medium enterprises (SMEs) which account for 99.7 per cent of all Australian businesses. Automation offers significant advantages, but many manufacturing SMEs believe that robots are out of their reach.
Artificial Intelligence is benefiting to various industries including healthcare, education and manufacturing. But what is Artificial intelligence (AI)? In Layman language, a simulator of human intelligence, which makes the decision after analyzing various data utilizing a collection of different intelligent technologies including machine and deep learning, analytics and computer vision. The fourth industrial revolution is employing AI to enhance its overall efficiency. The technology is not only helping to reduce manufacturing cost as well as it is improving productivity and quality. Manufacturing is a capital-intensive process, and once a plant is a set-up, replacing, removing or renovating is exorbitantly expensive. New machines improve performance; reduce redundancies, while improving overall quality metrics. AI is proving an alternative route to achieve all this and at extremely competitive price points. Instead of now replacing machines, manufacturers are adding AI/ML tools to pre-inspect raw materials identify defects, perform quality evaluations, and a lot more.
Southeast Asia is a region that's vast developing. It has evolved from an agricultural society to one of the fastest growing regions in the world within the span of a century. One of the main drivers of such growth was due to Southeast Asia's position as a low-manufacturing hub. This combined with cheap exports, provided the region with the necessary income to develop. However, in the past two decades, the world has seen the meteoric rise of China's manufacturing industry.
The manufacturing industry is undergoing many changes. Those specializing in traditional manufacturing are finding it difficult to keep up with the changes. Perhaps the biggest change has been how traditional manufacturing has come under pressure to manage vast amounts of data captured from different sources. Here are some of the reasons the Internet of Things (IoT) can help. Quality control has become easier because IoT helps keep an eye on suppliers.