Digital Extended Supply Chain Management
Digitalization is progressing at breakneck speed. Individuals, companies, and societies network in real-time. The global economy is changing – and so too are the opportunities and challenges for logistics. Sustainable supply chain management is able to keep pace with these developments and support complete customer orientation with personalized products in the digital supply network.
A Synergy of Established Processes and New Technologies
For 25 years, cbs has relied on integrated process and technology consulting in supply chain management for industrial customers. With experience acquired from projects in many different industries, we offer in-depth expertise in production planning (S&OP, material requirements planning, availability checks, and capacity planning) and implementation.
In addition to traditional PP functionalities, cbs consultants can help you analyze and implement new technologies such as Integrated Business Planning (IBP), MRP Live, advanced ATP (aATP), embedded production planning and detailed scheduling (PP/DS), Demand Driven MRP (DD-MRP), or predictive MRP (pMRP). By seamlessly integrating your procurement, warehousing, and detailed planning processes, we ensure transparency and consistency throughout the entire supply chain on the basis of the latest SCM technologies.
This means we enable you to retain long-standing processes and further optimize them with new functionalities.
Experts in SAP S/4HANA and Integrated Business Planning
Drawing on experience gained from a great many SAP S/4HANA projects, we support our customers in designing tailored, optimized planning processes. Our experienced consultants can help ensure perfect interplay of the new planning options, combining the best of the new SAP S/4HANA world and the traditional SAP ECC world.
Using SAP’s new Integrated Business Planning solution, we help you implement a holistic planning process that affords a standardized view of forecasting, rough-cut capacity planning, and inventory optimization based on common data.