With plenty of reasons why businesses should start adopting industry 4.0, let’s take a look at the primary reasons:
Being cost-efficient: Do you know that around 90% of European manufacturers would consider unplanned downtime and maintenance emergencies as sudden business failures? It would worsen further when there are scarce business skills as technicians and engineers retire or leave. Hence there wouldn’t be many experiences left among the people. To resolve all these issues, every company can choose an ERP system such as SAP with machine learning capabilities. It can let you monitor all the assets while predicting maintenance requirements before any major breakdown.
Being customer-centric: Consumers have become highly demanding concerning their service and product customization. With this in place, every CP company would become more agile and responsive in its function.
Involve Cost efficient processes: Handle machine monitoring with efficient predictive maintenance strategies in place. With high-end operational technology, every manufacturer can decrease their overall downtime, increase their throughput and reduce the overall cost of quality parts.
Democratize your Data: Manufacturing has dealt with the absence of siloed data not just in the form of separate departments but across different hierarchies. While you can enjoy the benefits of connectivity and accessibility to other data sources, you need to adopt the best ways to leverage the data to make the right decisions.
Enable Operational flexibility: The core responsibility would be to react as the demands keep fluctuating, adapt to new production trends, and fix the skill gaps, along with unpredictable business challenges faced by different manufacturers. With the proper support from leading technologies, every manufacturer can experience success and productivity. New technologies such as cobots, collaborative robots that can let you complete robotic tasks, and robots meant for handling operational tasks can allow you to complete the tasks with less human error.
Document and trace: When you leverage digitized information, you can store unlimited manufacturing data through the cloud. Converting all manual information through a digitized data collection system can let you train new employees using legacy knowledge. In addition, you can build advanced algorithms through historical data. You can store and access the data while building different solutions with unlimited options.
Retain your customers: There has been an increase in customer expectations, while consumers and suppliers have much to do with increasing product quality. When you want to raise your overall demands, every manufacturer must adopt the current technology while supporting product development, customization, and after-sale service.
Data is the new source of business booster: Many corporate giants have excelled to new heights in business through the collection and analysis of data. Major industries have been able to access business data, but they aren’t capable enough to make the best out of it. Plenty of Consumer Products (CP) firms have gotten insights into the business benefits. Businesses have been able to enhance data quality to ensure that they plan efficiently. When companies improve the demand baseline forecast, they can reduce the need for holding excessive inventory goods. It went on to reduce its working capital as well.
Increase your competitiveness: When you outsource to different low-wage regions worldwide, you can let competition surge in the industry. With Industry 4.0, manufacturers could choose other locations based on technical capabilities and consumer demand-based proximity. Their decisions would not be just based on wages.
Increase your productivity: With automation, machine-learning algorithms and analytics have taken up the step-by-step work of different human operators. As a result, it can lead to quick and efficient Production with humans just around the corner maintaining and monitoring all the systems.
Increased revenue and profitability: Industry 4.0 can lead to quality production while enabling preventive and predictive upgrades and maintenance. It can easily lead to less capital and lower downtime as time goes on.
Manufacturing process optimization: When there is better connectivity, analytics, and shared data, you can collaborate closely along the complete supply chain, leading to optimization, efficiency, and innovation.
Seamless regulatory compliance: You can handle better search capabilities and record archiving with better data analysis. It can lead to better customer satisfaction.
