The author of »Material Requirements Planning with SAP S/4HANA«

Caetano Almeida

Photo of Caetano Almeida
Caetano Almeida has been working with manufacturing solutions in SAP for more than 14 years. In 2009, he joined SAP Product Support in Brazil, and since 2016, he has worked as a business process principal consultant for the SAP Center of Expertise, helping SAP customers resolve complex business and technical challenges. 

Caetano is also an active member of the SAP Community, working to answer questions, publish blogs, and speak at SAP Inside Track and other events. He is the author of several SAP PRESS publications on MRP and production planning and detailed scheduling with SAP S/4HANA.
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Current titles

  • Cover of Material Requirements Planning with SAP S/4HANA

    Material Requirements Planning with SAP S/4HANA

    Caetano Almeida

    541 pages, hardcover

    MRP is the backbone of manufacturing—so get the SAP S/4HANA details you need to maximize your system! With this comprehensive guide, set up master data and configure SAP S/4HANA with step-by-step instructions. Run classic MRP, MRP Live, or both to More about the book

    from $84.99

    Available

    E-book | Print edition | Bundle
    • Configure and run classic MRP and MRP Live with SAP S/4HANA
    • Evaluate your MRP results with classic transactions and the MRP cockpit
    • Get to know demand-driven MRP and long-term planning
  • Cover of Introducing Predictive Material and Resource Planning (pMRP) with SAP S/4HANA

    Introducing Predictive Material and Resource Planning (pMRP) with SAP S/4HANA

    Caetano Almeida

    65 pages

    SAP S/4HANA’s new long-term planning functionality is here! With this E-Bite, take your first steps with predictive material and resources planning (pMRP). Understand the master data and then learn how to create, process, and monitor your simulations using different views. More about the book

    $24.99

    Available

    E-Bite
    • Explore long-term planning for materials and resources using SAP S/4HANA
    • Create and review predictive scheduling simulations
    • Discover BAdIs for replacing or excluding materials