Defining the Future of ERP in a Quality-Driven World
Summary
The survey also found that manufacturers growing at least 10% per year are highly efficient at integrating dissimilar technologies together to improve product quality, shop floor control and gain greater supply chain track and trace visibility. However, improving predictive accuracy depends on the ability to go beyond scrap rates and return material authorizations (RMAs) to find true causal factors of production variation. The next step in enabling manufacturers to gain greater insights into why product quality varies so much will come when ERP systems can apply AI and machine learning to “learn” over time. Integrated end-to-end supply chain planning and connectivity for IIoT projects are the two areas where IoT leaders have the greatest competitive leads today according to the PriceWaterhouseCoopers (PwC) Internet of Things keynote given September 2018. Defining the future of ERP systems in a quality-driven world begins by taking on the challenge of enabling greater contextual intelligence across supply chains, production floors, and service locations.