1.On-site Lean Improvement, adopt lean tools (VSM, line balancing, time study, TPM, SMED, 5S) to analyze bottlenecks in equipment assembly, wiring and commissioning processes, eliminate manufacturing waste, and improve assembly efficiency, first-pass yield and production throughput.
2.Workshop Layout & Production Restructure, optimize overall workshop layout, functional zoning, workstation arrangement and material routing. Build cellular manufacturing and modular assembly stations according to equipment process flow to eliminate cross-movement and space waste.
3.Warehouse & Space Utilization Optimization. Optimize warehouse location planning, material turnover and slow-moving inventory management. Streamline redundant warehouse areas, release workshop production space and improve overall plant space utilization.
4. Software Development & Digital Tool Construction. Independently develop lightweight factory tools, automated report scripts and data statistics programs with Python/VBA to replace repetitive manual statistics work. Develop practical mini-programs targeting pain points of production, engineering and warehouse to realize automatic ledger, data aggregation and abnormality alert.
5. Manufacturing Data System Construction, Dashboard Development & Data Analysis. Manufacturing data system setup: Sort out core production KPIs (capacity, efficiency, yield, working hours, WIP, lead time, inventory turnover). Establish standardized data definition, data model and data collection system to unify factory-wide data standards. Development & maintenance of production visual dashboards: Build real-time workshop dashboard, process efficiency dashboard, delivery schedule dashboard and defect trend dashboard to realize transparent production status, visualized abnormality and real-time progress monitoring. Production data analysis & data-driven operation: Conduct regular data review, trend analysis, comparative analysis and bottleneck analysis. Identify process waste, capacity shortage, operation bottlenecks and quality fluctuation via data, and deliver data improvement reports with targeted improvement recommendations.
6.Lean System Implementation & Training. Implement 5S, visual management and workstation standardization; provide lean training and deliver periodic improvement reports with measurable results.
7. Cooperate with others tasks assigned by supervisor.
Essential Skills:
College degree or above in Industrial Engineering, Mechanical, Automation or data-related disciplines; minimum 3+ years of lean process improvement experience in equipment manufacturing industry.
Professional Skills:
1. Software development capability: Proficient in Python / VBA, able to independently develop automated reports, data processing scripts and lightweight factory tools.
2. Software development capability: Proficient in Python / VBA, able to independently develop automated reports, data processing scripts and lightweight factory tools.
3. Proficient in layout optimization, cellular manufacturing, VSM, line balancing and on-site lean improvement.
4. Familiar with non-standard equipment assembly, electrical cabinet production and machine commissioning process, understand shop-floor pain points and process logic.
5. Candidates with lean process improvement experience in sorting machines or inspection automation equipment are preferred.
6. Strong communication skills, good English skills in reading and writing, ability to communicate directly with electrical engineers from abroad.
1. Position available for start-up as soon as possible.
2. Probation period: 6 months.