SAP adds capabilities on S/4HANA platform to gain new insights, make predictions, adapt in the digital supply chain

SAP SE announced on Monday new features to digitally optimize the supply chain and infuse it with intelligence from product design and production to delivery, operations and service. With the integration of SAP S/4HANA to digital supply chain solutions from SAP, companies can gain new insights, make predictions and instantly adapt in an agile supply chain that extends to customers and supplier networks.

SAP’s presence and innovation in supply chain management continues to help global companies embrace Industry 4.0 technologies, including the Internet of Things (IoT), big data, and machine learning–enabled automation. The latest solution updates enable an integrated supply chain and manufacturing environment with enhanced capabilities for production planning and scheduling, availability and fulfillment, compliance, health and safety, and production engineering and operations.

The capabilities deliver support for highly engineered products by offering consolidated operations including bill of materials, process planning, shop floor execution and integrated system testing. Production engineering and operations can be synchronized across manufacturing execution for complex assembly and low-volume operations, such as in aerospace and defense, which traditionally required manual processing.

It also delivers 3D visualization and production to deliver visualization from design through production to service and maintenance, and supporting the network of digital twins. Core business processing is combined with complete product lifecycle management to support decision-making, production and maintenance operations, and 3D printing of components.

By deep sourcing and supply integration with Ariba Network, the enhancements will enable critical supply analysis, vendor selection and flexibility to adapt to changing global trade regulations and variable customer requirements. The process production will now be supported with recipe management development, including the ability to track and find optimal recipes. It also includes proposal of suggested options for materials without purchase contracts using machine learning that can reduce exceptions and errors when processing long lists of open purchase requisitions and help operational purchasers create requests for quotations with algorithm-based suggestions.

The improvements deliver demand-driven replenishment with improved buffer-proposal suggestions for transferred products using machine learning capabilities. This more precise inventory management results in better service levels and better return on assets. Enhanced sales forecasts and delivery performance by gaining reliable sales and fulfillment insights using predictive analytics and machine learning.

The advanced variant configuration with new algorithms that have been built together with the Fraunhofer Institute in Kaiserslautern and are optimized for the SAP HANA business data platform. This enables a better user experience, such as by calculating alternatives in a more accurate way to avoid inconsistencies and by handling decimal values very precisely.

“Intelligent technologies help businesses make better sense of data, plan and predict outcomes, and optimize the entire product lifecycle including the customer experience,” said Hala Zeine, president, Digital Supply Chain and Manufacturing, SAP. “SAP helps companies embrace smarter business based on data-driven insights to run supply chains with greater insight, speed and purpose.”

 


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