It has been seen, in every few years, industrial work get reshaped mainly due to technological forces or economic forces. But this time with the COVID-19 pandemic, work in every Industry is now reshaping and the new kinds of roles are growing with three trends i.e.
Remote work, Digitalization, and Automation.
The biggest challenge is only 20-25% of the workforce could actually work remotely in the long term. Many managers who are very worried that they don’t know how to manage their employees remotely because sometimes, they have all these persons sitting in front of him and that’s the sign of working. And now when workers are far away from them, they don’t really know what each person is doing. And especially when if their objectives are not clear or the outputs are not clear, then, it’s very difficult to say whether the person is actually doing the work.
As there were spikes in demand for various kinds of things during COVID-19, and the only way companies could respond is through Automation with challenges of reskilling people. So it’s a tougher future. But if we manage to help workers make it through this, it could be a brighter future for our businesses as well as for our workers.
These changes in industry taking a different shape as we saw during recessions over the past several decades and in the few years following the recession, we actually saw automation levels and automation adoption rise very rapidly, because that’s the time when businesses are very keen to capture efficiencies, stabilize the cost base, and, in many other ways, respond to the new economic realities post the recession
So this time also we expect something similar, in the case of this particular phase as well—to see automation levels rise, and we are seeing things like Industry 4.0, Industrial IoT , robotic automations around the world are starting to rise, and we’re seeing the stock prices of companies that produce automation-related products actually start rising. So there’s an anticipation that this will be a greater shift or a trend going forward more in Industrial Automation. It is the time requirement.
IIoTexpert strongly advice their clients to use this pandemic time for implementing Industry 4.0 and other important changes in your factory without doing any further delay so that you can help your business as well as your workers. Our expert team globally are always with you to support
Faced with the COVID-19 crisis, industrial leaders have one business imperative: maintaining their operations. IIoT, implemented in a plug-and-play mode, can be instrumental in ensuring business continuity and minimizing economic damage by ensuring employee safety and security, improving liquidity, and lowering short-term costs.
Cost Saving & Safety:
Companies are suddenly dealing with work from home on a large scale, as well as new concerns about protecting their remaining on-site employees, and have adapted their workforce organization in consequence. IIoT tools can play an important role in ensuring a seamless transition through these changes in our manufacturing environment.
As the crisis unfolds, industrials can benefit from short-term cost reductions with the the help of several IIoT-enabled tools.
Remote employee collaboration:
In general, the more digitized a company’s processes are, the simpler it is to collaborate remotely. Off-the-shelf IIoT tools support the continuation of operations with fewer employees on site, since they facilitate remote work in direct and indirect functions. Measure production levels, and improve performance gaps across shifts. Other IIoT tools, such as digital heat maps, can support root-cause analyses for various problems. With machine breakdowns, for instance, IIoT tools can receive input from sensors that help pinpoint problems, such as broken components or oil leakage that could interfere with production. Teams can then review the tool outputs and discuss the potential sources of error over videoconference.
Digital performance management:
IIoT-based software solutions can provide a real-time dashboard of key performance indicators to support shop-floor performance dialogs, increasing transparency. These tools also allow the tracking of improvement actions and send alerts to operators via mobile devices. The software evaluates machine data, such as information on overall equipment effectiveness, part production, and quality through IIoT connectivity. Improved performance management can help companies boost labor productivity by 20 to 40 percent.
In-line process optimization:
IIoT can increase production efficiency of single machines or entire production lines by using advanced analytics to optimize process parameters. The algorithm analyzes information on all available variables, including production, scheduling, asset condition, and input goods. Data from individual machines get combined with information about the overall production program, allowing companies to optimize machine settings based on previous and subsequent production steps. This allows companies to adjust production schedules quickly to account for changes in demand or unexpected supply-chain disruptions.
IIOT-enabled asset optimization:
This use case involves using advanced analytics to identify the root causes and countermeasures related to the three drivers of overall equipment effectiveness (OEE): availability, performance, and quality. For instance, an aerospace supplier had a low OEE when producing an important airplane component. It then used IIoT solutions to monitor and detect certain problems, such as tool wear and missing materials. Based on this sensor information, the company was able to optimize job sequences in a central control room. With these improvements, the company achieved 80 percent OEE.
Supply-chain integration across the value chain:
IIoT facilitates real-time data exchange between all supply-chain participants, creating an integrated view of production programs, scheduling, inventories, quality, and anticipated delivery times. In addition to building transparency and trust, such tools can also reduce supply-chain costs and risks—for instance, by receiving signals from connected machines when they are running out of raw materials, or by tracking the flow of materials along the supply chain using geolocation tags. With these insights, companies can optimize inventory levels, production planning, and transport utilization through a more holistic approach. (The information on inventory is used to improve planning across the supply chain, including decisions about producing materials.) Companies will also learn about supply-chain problems more rapidly, allowing them to act before they escalate.
Industrial companies will take different approaches to leveraging the power of IIoT in challenging times, but reforming the operating model with IIoT solutions is always helpful.
As a matter of fact, our solution is not like any traditional, expensive and a lengthy way of doing industrial IoT, usually done by other automation companies, but here we use a different tactics than our competitors, which is low cost, No more programming, easy integration, unlimited users, free software, free updates and 90-days free trial for qualified customer to know the plant and also to help building a trust on us. If you are not satisfied even after 3 months of trial, you can return it. But, this is also a fact that 9 out of 10 clients have never returned back their XL. Most importantly, the ROI for XL is less than six months.