Role Overview: - • We are seeking a highly motivated Industrial Engineer to join our Operational Excellence (OPEX) team for our Pipe Manufacturing Division. • This role will be responsible for driving productivity improvements, cost optimization, process engineering, Lean implementation, and digital transformation across various manufacturing lines. • The ideal candidate should have hands‑on experience in manufacturing operations along with strong analytical skills and a solid foundation in Industrial Engineering, Lean tools, and Work Study. Key Responsibilities • Conduct detailed Time Studies using stopwatch and PMTS (MOST/MTM) to determine Standard Times. • Establish Standard Operating Cycles, manpower norms, and productivity baselines. • Apply Method Study to optimize labor, motion, and process flow. • Perform Line Balancing for extrusion lines, socketing lines, threading stations, packing operations, etc. • Analyze and minimize non-value-added activities on the shop floor. • Support capacity planning, manpower modelling, and machine loading plans. • Implement Lean methodologies such as: • 5S, Kaizen, Poka-Yoke, Kanban, Andon, Jidoka, Visual Controls • SMED to reduce die/tool changeover time in extrusion • Value Stream Mapping (VSM) – Current State & Future State • Standard Work creation and audits • Drive waste reduction projects focusing on defects, waiting, movement, overprocessing, inventory, and overproduction. • Lead shop-floor improvement activities, conducting Gemba walks, Kaizen blitz, and cross-functional workshops. • Capture and analyze Overall Equipment Effectiveness (OEE) across production lines. • Conduct Six Big Losses analysis and identify chronic issues (Breakdown, Speed Loss, Idling, Defects). • Work closely with Maintenance to minimize breakdowns and micro stoppages. • Develop daily/weekly/monthly loss reports and implement action plans to reduce performance and quality losses. • Collaborate with Production & Quality teams to improve dimensional consistency, reduce ovality, thickness variation, and melt defects. • Conduct trials for new dies, calibrators, and raw material combinations. • Drive FMEA, identify high-risk processes, and implement CAPA. • Support process validation, SOP creation, and continuous standardization across shifts. • Build and maintain dashboards for OEE, downtime, energy consumption, yield, and scrap trends using Excel / Power BI & Python – Program Based Excel Automation. • Collect, analyze, and interpret production data to identify improvement opportunities. • Conduct Cost-per-Kg analysis for products. • Support initiatives related to: Material yield improvement, Energy reduction (kWh/ton) , anpower optimization, Changeover time reduction • Validate and document project benefits in line with OPEX financial goals. Requirement: • B.E./B.Tech in Industrial Engineering, Mechanical, Production Engineering (Mandatory) • Lean Six Sigma Yellow/Green Belt preferred • Additional coursework in Lean, TPM, or OPEX is an advantage • 1–2 years in manufacturing, preferably in manufacturing, polymer processing, or continuous production lines • Experience in Industrial Engineering OR Operational Excellence department is required • Excel (Advanced), Power BI dashboards, Basic Python/R (optional), AutoCAD for layout design (preferred) • Time Study (Stopwatch, MOST/MTM), Work Measurement, DILO, VA, NVA Analysis, Workload & manpower modeling, Line balancing (continuous & batch processes), Plant layout improvement and workflow optimization, Ergonomics and workstation design principles. • 5S implementation & audit readiness, Kaizen / CI project execution, VSM (Value Stream Mapping), SMED for quick changeovers, Kanban & Pull systems, Poka-Yoke design & implementation, Root Cause Analysis (5 Why, Fishbone, Pareto) Behavioral Competencies • Strong analytical and problem-solving ability • Proactive, structured, and detail-oriented approach • Good communication for cross-functional collaboration • Ability to lead shop-floor teams and drive change • Hands-on, shop-floor oriented mindset • High sense of ownership and accountability