As Reed Turkey, we are looking for an " Expert MTM & Process Planning" with the below requirements for our international manufacturing client.

 

RESPONSIBILITIES

  • Develop, maintain, and standardize work measurement methodologies, time data standards, and routing structures across the global production network.
  • Ensure consistent application of MTM methods and time management standards within manufacturing operations.
  • Analyze and optimize manufacturing processes to improve productivity, efficiency, and resource utilization.
  • Review and validate routing and time data quality, ensuring compliance with defined standards.
  • Support capacity planning, cost calculation, and operational decision-making through accurate standard time management.
  • Coordinate global initiatives related to time data harmonization and process standardization.
  • Deliver training programs, workshops, and knowledge-sharing activities related to MTM and work measurement methodologies.
  • Collaborate with Industrial Engineering, Operations, Supply Chain, Product Development, and Controlling teams to drive continuous improvement initiatives.
  • Evaluate emerging technologies and digital solutions related to time studies, simulation, and manufacturing performance analysis.

 

QUALIFICATIONS

  • Bachelor's degree in Industrial Engineering, Mechanical Engineering, Electrical Engineering, or a related field.
  • Experience in Industrial Engineering, work measurement, production planning, or manufacturing process optimization.
  • Strong knowledge of MTM methodologies (MTM-UAS, MTM-1, or similar work measurement systems).
  • Experience with routing design and time data management in SAP.
  • Knowledge of capacity planning, productivity analysis, and manufacturing performance improvement methodologies.
  • Strong analytical thinking and problem-solving skills.
  • Experience in cross-functional and international project environments.
  • Good command of English.

 

NICE TO HAVE

  • Experience with EAWS or other ergonomic assessment methodologies.
  • Experience in global manufacturing organizations.
  • Knowledge of simulation or digital manufacturing tools.