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TOMRA

Global sensor-based sorting and collection solutions

Lean Manufacturing Engineer

Manufacturing EngineeringConfirmed live in the last 24 hours
Full-timeKunshan, Suzhou, Jiangsu, ChinaNo salary listedIn-person

About the Job

Requirements

  • A college degree or above in Industrial Engineering, Mechanical, Automation, or a data-related discipline.
  • At least 3 years of lean process improvement experience in the equipment manufacturing industry.
  • Proficiency in Python or VBA, with the ability to independently develop automated reports, data-processing scripts, and lightweight factory tools.
  • Proficiency in layout optimization, cellular manufacturing, value stream mapping, line balancing, and on-site lean improvement.
  • Familiarity with non-standard equipment assembly, electrical cabinet production, and machine commissioning processes, including shop-floor pain points and process logic.
  • Good English reading and writing skills and the ability to communicate directly with electrical engineers from abroad.

Responsibilities

  • Apply lean tools, including value stream mapping, line balancing, time study, total productive maintenance, single-minute exchange of die, and 5S, to analyze bottlenecks in equipment assembly, wiring, and commissioning; eliminate manufacturing waste; and improve assembly efficiency, first-pass yield, and production throughput.
  • Optimize workshop layout, functional zoning, workstation arrangement, and material routing; create cellular manufacturing and modular assembly stations according to equipment process flow to reduce cross-movement and space waste.
  • Optimize warehouse location planning, material turnover, and slow-moving inventory management; streamline redundant warehouse areas, release workshop production space, and improve plant space utilization.
  • Develop lightweight factory tools, automated report scripts, and data statistics programs with Python or VBA to replace repetitive manual statistics work; develop mini-programs addressing production, engineering, and warehouse pain points for automatic ledger management, data aggregation, and abnormality alerts.
  • Establish manufacturing data systems by defining core production key performance indicators, standardizing data definitions and models, and creating factory-wide data collection systems.
  • Build and maintain real-time workshop, process efficiency, delivery schedule, and defect trend dashboards to make production status, abnormalities, and progress visible.
  • Conduct regular production data reviews, trend analysis, comparative analysis, and bottleneck analysis; identify process waste, capacity shortages, operational bottlenecks, and quality fluctuations; and produce data improvement reports with targeted recommendations.
  • Implement 5S, visual management, and workstation standardization; provide lean training and deliver periodic improvement reports with measurable results.
  • Cooperate with others on tasks assigned by the supervisor.

Desired Qualifications

  • Lean process improvement experience in sorting machines or inspection automation equipment.

About the Company

TOMRA

Global sensor-based sorting and collection solutions

Tomra is a global provider of sensor-based solutions that improve resource productivity and support circular economy practices. It offers collection systems, notably reverse vending machines, to collect beverage containers and enable deposit return programs, processing about 40 billion containers annually. It also builds sensor-based sorting technologies for recycling (separating plastics, metals, and paper with high purity), food (optical sorting and grading to remove contaminants and defects), and mining (sensor-based ore sorting to boost recovery and reduce energy use). What sets Tomra apart is its broad, integrated portfolio and large global footprint, enabling end-to-end resource recovery across industries and markets. Its goal is to lead the resource revolution by changing how the world obtains, uses, and reuses resources to build a sustainable future.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Asker, Norway
Founded
1972

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