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J155 - Manager – Production Planning & Control (PPC)
Raveone Consultants
Sponsorship not confirmed
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About the job
Manager – Production Planning & Control (PPC) Position Details Designation: Head – Production Planning & Control (PPC) Department: Production Planning & Control Location: Hyderabad, Telangana Position: Full-time | Senior Management Reporting to: Plant Head – Site 1 Experience: 12+ years Industry Preference: Forging / Aerospace & Defence / Heavy Engineering / Precision Manufacturing / Metallurgical Manufacturing Role Purpose The Head – PPC will be responsible for orchestrating end-to-end production planning, shop-floor scheduling, material requirement planning (MRP), and delivery management across forging, heat treatment, machining, and testing operations. The role requires a high-accountability supply chain and planning professional who can balance customer delivery commitments with optimal capacity utilization, minimal work-in-progress (WIP) inventory, and strict adherence to aerospace and defence quality standards. Key Responsibilities Master Production Scheduling (MPS): Develop and execute site-level master schedules aligned with customer demand, plant capacity, and delivery timelines across all manufacturing stages (forging, heat treatment, machining, and inspection). Capacity & Resource Planning: Analyze machine, labor, and tooling availability to resolve bottlenecks, optimize furnace loads, and improve overall equipment effectiveness (OEE). Material Requirement Planning (MRP): Drive raw material (billets/ingots), consumable, and sub-contracting requirements in coordination with Procurement and Stores to ensure zero production downtime. Shop-Floor Control & Dispatch: Track daily progress against planned targets, manage order prioritization, and work closely with Shop Floor Managers to expedite high-priority orders. Sub-contracting & Outsource Management: Oversee external processing (special heat treatments, external machining, or special processes), ensuring seamless material movement and on-time turnaround. Cross-Functional Alignment: Coordinate daily with Quality, Production, Engineering, and Sales/Commercial teams to track order fulfillment, mitigate delays, and update delivery schedules. ERP & Systems Optimization: Own the PPC module in ERP, ensuring accurate bill of materials (BOM), routing details, inventory tracking, and real-time order status updates. Inventory Control: Monitor raw material, WIP, and finished goods inventory levels to achieve optimal stock turns while preventing material shortages. Candidate Profile Education B.E. / B.Tech in Mechanical Engineering, Industrial/Production Engineering, or Metallurgical Engineering. Preferred Certifications: APICS (CPIM/CSCP), Project Management (PMP), or certifications in Lean Manufacturing / Six Sigma. Experience & Knowledge Minimum 12 years of core production planning and scheduling experience in a manufacturing setup, with at least 3–5 years in a leadership role. Strong domain experience in forging, heavy engineering, precision machining, or metallurgical manufacturing (Aerospace & Defence background preferred). In-depth understanding of process routes involving hot/cold forging, thermal processing/heat treatment, non-destructive testing (NDT), dimensional inspection, and CNC machining. Hands-on expertise in ERP/MRP systems (SAP, Oracle, or equivalent industrial ERPs) and advanced MS Excel/analytics tools. Demonstrated ability to manage multi-stage manufacturing routings with strict material traceability (heat-code control) and AS9100 / ISO quality constraints. Proven track record of improving On-Time Delivery (OTD), reducing cycle times, and optimizing WIP inventory. Strong leadership skills to drive accountability across shop-floor execution, logistics, and planning teams. What We Are Looking For We are looking for a results-driven, hands-on PPC leader rather than a pure desk scheduler or spreadsheet compiler. The ideal candidate must be comfortable walking the shop floor, identifying operational bottlenecks in real time, re-sequencing schedules dynamically whe
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