Top Manufacturing Trends of 2022
The last two years have been nothing less than a vigorous shake-up to manufacturing. From kickstarting an industry-wide awakening to digital transformation and remote operations for a decade, manufacturing has seen nothing less than a paradigm shift. It has also brought the spotlight on the criticality of this sector for the global economy & those who work tirelessly day & night in factories. In 2022, we expect all of these trends to rise. In the past two years, the challenges experienced in industrial operations have led to a complete introspection of the entire manufacturing operations cycle, including supply chain management & asset maintenance. The results gradually create a need for a fundamental change to protect the bottom line while staying agile & resilient to any future challenges.
Here are some top trends for Manufacturing in 2022:
1. The Remote Monitoring shift: It’s not that remote monitoring has not existed for Manufacturing, but it was the choice of a few digitally aware pioneers. But intermittent surges of the pandemic, with its restrictions of social distancing, workforce shortages, and government regulations, have made remote monitoring mandatory for Manufacturing. The hybrid or remote working setup is not a temporary shift anymore. With remote work becoming the new normal, investing in technologies like IoT that make remote monitoring happen is now essential for digital reliability & empowering your maintenance team to stay prepared for all circumstances. A platform like Infinite Uptime’s Industrial Data Enabler (IDE), a patented edge-computing Vibration monitoring system, can point out any anomalies in the machines long before they become critical. Accessing the correct data to the relevant people in real-time is no less than a game-changer. Here is how remote monitoring can help your facilities.
2. Connected Supply Chains: Supply chains were hit in the worst way due to the globe-wide nature of the pandemic. Unpredictable & sudden shortages globally, coupled with lockdowns, made inventory management very difficult. While businesses are trying to make their supply chains agile & localized, digital technologies like AI, ML & IoT are helping solve this via connected supply chains. Here are two ways how they can help:
- By solutions that can predict the inventory needs in advance and enable real-time tracking of shipments, optimizing delivery timings
- An intelligent Predictive Maintenance solution that ensures a consistent & reliable asset performance can predict the flow of raw materials products from supplier & the end product to the customers due to fewer breakdowns or disruptions.
3. Skill gap & rise of Prescriptive Analytics: With increasing competition & economic growth, shortage of skilled workforce is one of the biggest challenges for manufacturers globally. In addition to this, the retirement of baby boomers with years of information & tribal knowledge without a proper knowledge transfer can lead to huge errors on the shop floor. That is why today, your digital reliability system needs to be prescriptive, not just predictive. Not only does the anomaly in the machine need to be predicted, but a recommendation based on past data also needs to be suggested to the plant operator. Only then can manufacturing analytics become truly actionable in time.
4. Sustainability beyond compliance: With the rise in global initiatives around climate change and sustainability, every industry has been experiencing the impact. Manufacturing has not been any different. Sustainability for Manufacturing comes in various forms- for operations, energy footprint, water and packaging to reduce waste and carbon emissions. For the first two, reliable assets are the key. A well-functioning asset that is always available & performing well will not result in higher energy overheads. On top of this, sudden malfunctions or stoppages without an established protocol in the case of industries like chemicals, oil & gas, etc., can result in harmful emissions in the atmosphere.
The past two years have reiterated the importance of a data-driven approach coupled with automation and the importance of a healthy energy footprint, workers and machines. 2022 will see manufacturers globally investing in these trends and using innovative technologies to bridge the gap between today’s setup and industry 4.0.
About Infinite Uptime
Infinite Uptime is transforming the industrial health diagnostics space with a Digital First approach. We provide comprehensive solutions around Machine Diagnostics, Predictive Maintenance and Condition Monitoring to the top engineering and process industries globally. We promise to deliver maximum Machine Uptime, minimize Factory Disruption and elevate Equipment Reliability for a stellar factory performance.
Infinite Uptime leverages IoT, machine learning, artificial intelligence, smart communications, cloud computing, analytics and data science techniques to accelerate digital adoption and turn Industry 4.0 into a business reality. To know more about us and our customer success stories, please visit www.infinite-uptime.com or write to firstname.lastname@example.org.