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RNR Global Solutions Private Limited

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SAP PP Production Planning & Control Discrete Industries

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Summary

An SAP PP functional consultant (5-10 years) who configures and supports production planning for discrete manufacturing — MRP, production orders, BOMs/routings, capacity planning — and integrates PP with MM, QM, SD, FI/CO and MES across full lifecycle delivery. The role emphasizes using AI copilots to speed up specs, testing, and documentation.

We are hiring for MNC company



Role & responsibilities


Functional & Technical Delivery

  • Configure and support SAP PP processes including:
  • Material Requirement Planning (MRP)
  • Production Orders & Execution
  • Routings, Work Centers & BOM Management
  • Capacity Planning & Scheduling
  • Backflushing & Costing Integration
  • Goods Movements & Shop floor Reporting
  • Use AI copilots to accelerate:
  • Functional specification creation
  • Routing/BOM validation
  • Test case generation for MRP, order creation, confirmations
  • Documentation automation (FS/TS/SOPs)
  • Support full lifecycle delivery: requirements, design, configuration, SIT/UAT, deployment, hypercare support.
  • Integrate PP with MM, QM, SD, FI/CO, and shop floor systems (MES), leveraging standard APIs and middleware.

AI Assisted Productivity

  • Use AI copilots for:
  • Automated summarization of requirements and change impacts
  • Analysis of MRP exceptions and planning alerts
  • Validation of order execution and production variances
  • Faster defect isolation in BOM/routing/work center configurations
  • Integrate pre built AI services into production workflows, such as:
  • Predictive insights (e.g., potential material shortages or order delays)
  • Intelligent classification of production issues
  • Automated summarization of production batch deviations
  • Smart suggestions based on historical production performance
  • Use LLM assisted troubleshooting to reduce time spent analyzing MRP exception messages, order failures, and material shortages.

Governance, Quality & Collaboration

  • Ensure compliance with production governance, change controls, data accuracy standards, and audit policies.
  • Participate in workshops, solution reviews, and process optimization discussions enhanced by AI generated insights.
  • Collaborate with production, quality, warehouse, procurement, cost controlling, and integration teams to deliver end to end planning excellence.
  • Create reusable templates, checklists, test packs, and AI enabled best practices for SAP PP delivery.

Required Skills & Experience

SAP PP Expertise

  • Strong understanding of discrete manufacturing processes including BOM/routing management, production order cycles, capacity planning, scheduling, and MRP.
  • Experience with integration across MM (material availability), QM (inspection lots), SD (demand), and FI/CO (costing).
  • Familiarity with order confirmations, settlements, and shop floor data capture processes.

AI Ready Skills

  • Ability to use AI copilots, automated documentation tools, and AI assisted test accelerators.
  • Comfortable embedding pre built AI capabilities into production planning or execution (not custom model building).
  • Awareness of responsible AI usage and limitations in manufacturing and planning environments.

General Professional Skills

  • Strong analytical and problem solving skills related to production variability, MRP outcomes, and resource planning.
  • Ability to translate manufacturing requirements into scalable SAP PP configurations.
  • Strong communication and collaboration skills across technical and operational teams.
  • Continuous learning mindset with comfort adopting AI assisted workflows.

Good to Have

  • SAP PP Certification (S/4HANA Manufacturing).
  • Experience with MES systems, shop floor integrations, or IoT enabled production data.
  • Exposure to EWM/WM, PM, or APO/IBP environments.
  • Familiarity with automated testing tools (Tricentis, CBTA).

Outcome Expectations

  • Deliver faster, more reliable SAP PP solutions using AI enabled productivity tools.
  • Improve planning accuracy, resource utilization, and production stability.
  • Act as a bridge between manufacturing teams, SAP engineering teams, and AI native experts when deeper AI capabilities are required.

Additional Information

  • A 15 years full time education is required.



Skills

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