The analytics of large volumes of data is crucial for agile, innovative and efficient management. In the Manufacturing industry, the benefits derived from the transformation of data into insights allow, for instance, to effectively manage the production line, adjust the stock to market demand and provide personalised answers to specific and timely problems detected.
Data Analytics and Artificial Intelligence solutions allow you to have access to the main KPIs to monitor production, deliveries via sales and distribution centres, as well as reduce errors and delays in production lines. You can also quickly access intuitive reports, in real-time, which allow you to monitor the principal indicators. Also, with disruptive technological solutions, you can create alerts to act immediately in front of any atypical and unexpected situation that could jeopardise the entire production and distribution chain.
But disruptive technological solutions bring many more benefits to the Manufacturing industry. By having a smarter factory, with automated production lines and maximum productivity, you will have powerful competitive advantages that will put you at the forefront. It also manages to control all the processes from the reception of the raw material until the delivery to the client, checking which models to optimise and adjusting the strategy, always with a focus on higher profitability and with lower costs.
Among many other benefits that technology provides, such as agility in decision making, in-depth knowledge of the client or accurate predictive analysis of the market, you can make your processes more autonomous and integrated, which represents crucial competitive advantages for any organization.
But what is Manufacturing automation?
You have certainly thought of your processes and how to make them more efficient and less costly. Manufacturing automation allows you to optimise repetitive tasks through intelligent systems that will lead to increased productivity, efficiency, reduced errors and simplified operations.
With faster and more efficient production cycles, you will be able to give more assertive responses to your customers, increase production with shorter cycles and improve the performance of the entire business.
According to Gartner, by 2024, organizations will reduce operating costs by 30% by combining hyper-automation technologies with redesigned operational processes.
Automation also allows quality control in detail, providing a final product according to the established quality parameters. Besides, with a broad and detailed view of the organization’s existing processes, it is easier to introduce improvements to streamline production and increase the level of competitiveness.
Another relevant aspect is the maximization of the machines’ operating time since any pause means loss of profitability. Today, you can do preventive maintenance to correct anomalies even before they happen and thus create proactive strategies. According to McKinsey & Company, predictive maintenance projects will reduce maintenance costs by about 20% and reduce unplanned machine downtime by 50%.
In the Manufacturing industry, the impact of adopting Data Analytics and Artificial Intelligence solutions is evident both in increasing productivity and reducing costs that process automation provides, thus achieving a more sustainable and automated, more digital, profitable and efficient organization.