Leverage IoT Technology’s Benefits of Predictive Analytics in Process Manufacturing Data is valuable only if it is properly analyzed and turned into actionable insights. Predictive analytics focuses on the analysis of data, collected from connected assets to identify problems in advance. It helps manufacturers to proactively implement solutions to prevent efficiency or productivity loss in manufacturing operations. It can predict future performance based on historical data, which in turn helps to speed up the supply chain and reduce the potential for delays. As predictive analytics becomes mainstream in manufacturing, more and more industries will adopt smart and connected technologies such as IoT for smooth running of operations. Predictive analytics enabled by IoT sensors and IoT devices across robust IoT platforms can impact outcomes in various areas of manufacturing. One of the areas involves the production line, limiting downtime of machines and improving output and profitability. It can also help in improving the products, worker safety and customer satisfaction. Predictive maintenance for decreased downtime
An industrial machinery is generally used for a long period of time, sometimes decades or more. This brings in a lot of uncertainties with equipment downtime, aging machinery, machine safety, maintenance and replacement of parts etc. In the past, a manufacturer had very few options to minimize downtime and failure of machines on the production line. With the advent of IoT-enabled smart factories, manufacturers have a better option in hand – Ppredictive analytics. It
uses a combination of IoT, cloud, and analytic technology to monitor machine conditions. Parameters are compared to certain threshold values, and the analytics use that data to predict future failures. Consequently, the manufacturer can make repairs in the assembly line before the entire machinery fails. This causes an immediate improvement in unexpected downtime, which reflects in increased profitability. Predictive analytics for continued process improvement
Predictive analytics will be further involved in other facets of everyday manufacturing operations. Some of the other ways IoT driven predictive analytics positively impacts process manufacturing are Preventive maintenance aims to reduce the issues by triggering alerts or calls for assistance from machines. This is a critical step in ensuring a manufacturer has all of the machines operating at maximum efficiency. Predictive analytics in manufacturing could be used to identify parts defects in machines, holding the particular supplier accountable for the defective part. Manufacturers will be able to enhance their inventory position because of the insights from predictive analytics. Predictive maintenance can show which parts fail, or those that will need immediate replacement. This allows managers to stockpile the right parts and order replacements before they are needed.
Predictive analysis on machines will make the workplace more efficient and safer. This ensures the security and productivity of the most important assets in an organization, the workers. Adopting predictive analytics to the process helps in high quality and accelerated production. Design flaws can be quickly identified and changes to specs made to ensure better quality. The company assure customers of the timely delivery and quality of products, impacting customer satisfaction.
Sensors in the production machinery allow for better monitoring of raw material quality.
Reduced costs, improved safety, and increased mechanical performance all suggest the importance of adopting predictive analytics in manufacturing sector. By understanding the benefits of predictive analytics, how IoT enabled applications are driving it, and how it will benefit manufacturers, companies can take the lead in ensuring that manufacturing operations remain safe, smooth and streamlined. WeMakeIoT specializes in leveraging IoT technology to create end-to-end solutions with expertise not just in delivering predictive maintenance, but also in building efficiency across the manufacturing network through industrial IoT applications. Connect with us at http://www.wemakeiot.com/ to explore further options in IoT-driven manufacturing solutions.