Artificial Intelligence & Tissue Paper Industry
Tissue paper manufacturing techniques keep evolving with the improvement of technology like any other industry. Artificial intelligence, or AI, as one of the newest technological developments, started to take its place in the tissue industry.
What is Artificial Intelligence?
Before getting in too deep, we should settle what artificial intelligence is. Artificial intelligence is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. With the involvement of AI in production, the number of humans that take a role in the process decreased. Manufacturers can save on the salary that they were supposed to pay their employees, so it is preferable to use mechanical force rather than human-force.
Future Is Digital
Processing pulp into paper products comes a supply chain with many levels of complexity and tricky, time-consuming processes from the harvesting, debarking and chipping of the wood to the cooking, screening and bleaching of the pulp. These processes involve large amounts of data, which could be developed into meaningful insights, predictions and automation algorithms bringing on the next leap of productivity, quality and automation for the tissue paper processing industry.
The production of paper and tissue paper is an area contributing significantly to some countries’ GDP and playing an important role for many large businesses. Heavy-industry leaders around the world are in agreement that artificial intelligence will be an indispensable part of the future of these companies.
One of the biggest difficulties with pulp and tissue paper production is to optimize process throughput and the quality of resulting products at the same time. AI helps this part of the tissue paper making process in order to predict the pulp characteristics and properties of the final product through the analysis of the collected data, which could reveal interdependencies of the process parameters and predict the service properties of the final product. So, you can get maximum quality products with minimum scrap.
According to 2019 Global Market Insights, Inc. report, Artificial intelligence in the manufacturing market is poised to rise from USD 1 billion in 2018 to over USD 16 billion by 2025.