Data management in digital manufacturing
Intense competition, regulatory pressures and changes in business models are disrupting and reshaping buyer characteristics, desires, and behaviors. In order to compete, manufacturers need to constantly transform.
They are realizing the importance of harnessing the untapped potential of data to drive even more efficiency and productivity. Data as a tool has so many uses, and many manufacturers are increasingly finding how useful it is and yields a lot of return on investment. By connecting equipment, sensors and controllers, manufacturers can improve plant visibility and leverage advanced analytics.
A businesses’ success is directly tied to how well it is equipped to respond to its customers and deliver on its promise in a digitally savvy environment. Stock taking, machine maintenance, operations efficiencies to employee data can all be used to make big business decisions.
Data analytics can help manufacturers to get better insight into the production process and how efficient it is. Without using data manufacturers are likely just operating in the dark or using manual ways of understanding the process. With data you are able to monitor customer behavior as well as how well the machines are working as well as to track when maintenance is due. Which can all affect the overall revenue of the business.
Why leveraging data for your business can be empowering
A manufacturing company can store its data on Microsoft Azure, a cloud service which helps them accurately predict when maintenance will be required. This will help them get intelligence on the performance of their equipment and can schedule maintenance at a convenient time so that the business does not experience downtime.
Data analytics can also assist with giving you real-time performance visualization to help you optimize factory operations and increase production rates while also improving product quality.
Organizations that leverage their data:
- Increase their profitability– Analyzing data from machinery can help you identify production and policy improvements. For instance, maintenance, repair, and operations (MRO) can take a lot of time and resources.
- Identify efficiencies– Real-time data analysis can help you improve quality, yield, and OEE. Many manufacturers are integrating data from enterprise resource planning (ERP) and manufacturing execution systems, which work really well together in running a business.
- Improvebusiness operations – Through analytics, you can view, understand, and track what happens inside a manufacturing plant. This drives better efficiency and helps avoid production interruptions. Through the use of data the supply chain can easily be improved as well as other parts of the process such as scheduling, stock management and overall improvements in driving a better customer experience.
Integrating the different silos of manufacturing
Eliminating errors in the manufacturing process are not easy to rectify and can cost the company money. In the same breath responding to customer and market demands in a more agile and timely manner can also save a business money. The different silos and processes of the manufacturing lifecycle in the production process can be integrated to link so that stakeholders can make better business decisions both comprehensively and at each step.
While it is valuable to pull data often it’s equally important to understand how often the data adds value to the business and pull it only that often. Otherwise pulling data continuously without a strategy can prove frustrating and detrimental to the progress it can bring. Across the board, organizations are operating smarter thanks to the application of business data to various functions.
The end objective is to collect and leverage all relevant data, without introducing new risks to your company. Data can double your efforts easily and ultimately empower your employees, optimize operations and delight the customers.
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