One of the leading tasks for enterprise resource planning – ERP – platforms is to control the quality of a company’s products before delivering them to customers. Nonetheless, manufacturing has become tremendously complex due to the increasing demands of customers. Thus, former ERP systems have difficulties in staying up to the job.
Frequently, the purpose of programming software systems previously was to emphasize consistency. But today’s newer systems incorporate advanced analytics and artificial intelligence technologies in the quality control process.
The systems have become more attuned to the highly-customized approach of current manufacturing processes. They must automatically learn how to deal with more complex products and resolve multiple issues that can delay a process and eat into earnings.
Managing Multiple Platforms
Some manufacturers are forced to juggle multiple systems to stay on top of challenges in production such as shop floor control or track-and-trace visibility within the supply chain. So they often look for more from their ERP platforms – for example, allowing a short-notice production run.
The latest ERP systems manage data effectively so they can optimize production runs across multiple metrics. They also are adaptable and able either to incorporate or run alongside software used by other firms.
Managers must also consider increased time pressures in the production process. The window from design to manufacture is shrinking all the time, but quality control must stay consistent.
New Ways to Test
The latest ERP technology can handle these demands using Failure Mode and Effects Analysis, or FMEA. There are tests on new products against a digital twin due to a lack of sufficient time for a more thorough analysis.
Quality management demands require the next generation of ERP systems to rely on data inputs that go beyond scrap rates. Manufacturers need to catch quality issues on the factory floor and stay abreast of issues with raw materials and components coming into the process.
Leading the way are companies that use metallurgical components. An instance is in aerospace manufacturing, where there are zero margins for error. However, we ought to apply similar processes to the plastics sector.
Artificial intelligence and the Internet of Things are predicted to play a more significant role in the quality control process of the future: Connected devices will likely channel reams of additional data back into the production process, while AI can help ERP systems gain new insights that will improve quality by detecting issues far earlier than currently possible.
- The next generation of ERP software platforms is revolutionizing the entire process of quality control within manufacturing.
- More sophisticated products combined with intense time pressures mean that ERP systems need to step up with more dynamic and insightful quality control processes.
- Beyond this, breakthroughs with AI research and the implementation of IoT or connected technology means that ERP systems increasingly are able to incorporate a greater level of product data and insights into quality control.
- A more granular approach to product analysis including raw materials should translate into more efficient quality control in the near future.
Data V Tech is Epicor’s Authorized Partner with over 20 years of experience in the Asia Pacific. We provide well-timed implementation with full support for software localization. As a one-stop-shop, we offer complete solutions for manufacturing, trading, and distribution businesses, from mobile applications to e-commerce and direct machine data integrations to Epicor Kinetic (ERP) software.