Manufacturing Analyst

1 week ago


Chennai, Tamil Nadu, India Ford Motor Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Analyst

Major Responsibilities:

This role requires a blend of technical expertise and hands-on experience in MP&L manufacturing function to drive the effectiveness with critical MP&L sub skill areas like MFE/SMF, SCM, Inventory on critical metric monitoring for smooth flow of operation, benchmarking best practices and monitoring the actions completion, follow-up and KPI reporting for IMG plants.

Plant Ops:

  • Lead and facilitate POGR (Plant Operating Governance Reviews) monthly with Plant & Regional MP&L managers – Key replication projects implementation, DoS Lean maturity model (LMM) score updates with actions, Plant Bowler metrics, Safety updates, etc.
  • MP&L Safety GERT (Global Event Reporting Tool) incidents tracking, liaising with regional Safety team & Plant leads, Co-ordinate PCA actions implementation across plants in IMG
  • Drive Innovation across MP&L skill teams, launch automation tools that deliver efficiency in plant processes in possible areas with team's support
  • Achieve 100% timely delivery of all Bailment Business case studies for FNA, FSAO and IMG plants. Lead Pre-BgB meetings based on request & effective participation in monthly BgB (Bailment Governance Board) meetings
  • Deliver new Bailment implementation for FNA programs liaising with all CFT's in line with launch timeline
  • Overall MP&L Headcount reconciliation & facilitation for monthly leadership reviews, yearly Budget submission with Growth/Efficiency plan, Opex budget forecasts, etc.
  • IMG MP&L Audit Compliance - 100% timeline is met for AFR/DRIM/BCP/MCRP
  • Develop altryx and Bot for KPI reporting on MP&L critical function activities

Inventory Management:

  • Understand and Master the concept of In-plant float, Opres, Variable float, Fixed float, Advance Jobs, PFEP, Ship Frequency & Transit Time
  • Maintain & Update Right Inventory inputs in CMMS in line with agreed standards
  • Review & Challenge all Float / TT change requests based on Inventory impact to budget/Forecast & Business emergency
  • Review, Challenge and update stockpile requests based on Business case and ensure closure of stockpiles when business demand ends
  • Review and optimize all VSMs. Work with Plants, Network Logistics, RTM, Capacity, Op Plan, Supply Chain to identify opportunities of Inventory reduction in all input parameters
  • Inventory Budget / Forecast - Engage all Cross Functional teams in developing Budget / Business plan numbers
  • Ensure Monthly forecasting is done for all plants and support with necessary variance explanations
  • Deliver Inventory actuals In line with Budget & support with any efficiencies that may be tasked

Maintenance & Optimization:

  • Drive sustainable operation support for plant MP&L operations
  • Diagnose and resolve technical issues related to MP&L operations
  • Identify opportunities for process improvement
  • Deploy latest advancements in MP&L plant operation with automation technologies driving efficiency.

Collaborate with the various MP&L skill engineering team to develop and implement AI automation reporting on KPI

Qualifications:

  • Engineering Degree or Equivalent Bachelor's degree.
  • 6+ years of experience in Manufacturing MP&L function – MH / MFE, Kiting and sequencing, SCM, ECC.
  • Altryx development, Python, datamart skill, SMART / SKS application usage.
  • Experience with shop floor activities
  • Excellent troubleshooting and problem-solving skills.
  • Strong communication and interpersonal skills, with a proven ability to interact effectively with both technical and non-technical stakeholders.
  • Ability to work independently and as part of a team.
  • A proactive approach to identifying and resolving potential issues.

Preferred Qualifications:

  • Experience with cloud-based platforms and data analytics.
  • Knowledge of machine learning and artificial intelligence techniques.
  • Experience working in a manufacturing or industrial environment.
  • Project management experience.
Experience LevelMid Level
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