Manufacturing Engineering Supervisor/ Senior Supervisor

Yêu Cầu Công Việc
Education: Bachelor's degree or above, majoring in Engineering (Mechanical, Electrical, Industrial, Manufacturing, Mechatronics, or related), Production Management, or a relevant field.
Experience:
Minimum 5 years of experience in a related field (Manufacturing Engineering, Production, Maintenance, or Industrial Engineering), including at least 1-2 years in a lead/supervisory role managing a team.
Experience in a similar manufacturing industry (power tools, electronics, or battery/consumer products manufacturing) is preferred
Knowledge:
Manufacturing Processes: Solid understanding of assembly line operations for power tools, outdoor products, battery packs, and chargers, including manual, semi-automatic, and automated assembly stations.
Machine & Equipment Types: Working knowledge of common production equipment used in the manufacturing process, including screwdriving/torque machines, testers, laser marking machines, welding/soldering equipment, EOL functional testers, and cell balance testers.
Fixture & Tooling Principles: Understanding of fixture/jig design fundamentals, including locating principles (3-2-1), clamping, and mistake-proofing (poka-yoke), sufficient to evaluate fixture readiness and identify design gaps.
Change-Over Management: Knowledge of change-over procedures, checklists, and standard work required to convert a production line from one model to another with minimal downtime and errors.
Preventive & Predictive Maintenance: Understanding of PM/PdM principles, maintenance scheduling, and common failure modes for production machines and fixtures.
Quality Standards & Systems: Familiarity with quality management principles, including IPQC, MQA inspection flow, non-conformance handling, and corrective and preventive action processes.
Safety & Compliance: Knowledge of workplace safety standards relevant to manufacturing, including electrical safety, ESD (electrostatic discharge) control, machine guarding, lockout/tagout, and applicable local labor and safety regulations.
Industrial Engineering Basics: Understanding of takt time, cycle time, line balancing, and capacity/UPH (units per hour) concepts as they relate to line change-over and production readiness.
Continuous Improvement Frameworks: Familiarity with Lean Six Sigma methodology, particularly DMAIC, and its application in manufacturing engineering problem-solving.
Basic Automation/Controls: Foundational understanding of PLC logic and machine control systems, sufficient to communicate effectively with Automation Engineers during troubleshooting, without requiring independent programming capability.
Documentation & Standards: Knowledge of engineering documentation practices, including Work Instructions (WI), Bill of Materials (BOM), and Engineering Change Notices (ECN), and their application in change-over and equipment setup.
ERP/Production Systems: General familiarity with ERP or MES systems, such as Kingdee K3 Cloud/IDM and K2 systems, used for production planning, inventory management, and reporting.
Lean Manufacturing & 5S: Practical application of Lean principles, including waste elimination, one-piece flow, line balancing/Yamazumi, and 5S/workplace organization to maintain a disciplined and audit-ready shop floor.
Root Cause Analysis (RCA) & Problem Solving: Proficient in structured problem-solving tools, including 5 Why, Fishbone/Ishikawa Diagram, 8D, and Fault Tree Analysis, to drive corrective and preventive actions for machine, fixture, and quality issues.
Statistical Process Control (SPC): Able to read and interpret control charts, including Xbar-R, I-MR, p, np, c, and u charts; identify special-cause versus common-cause variation; and take appropriate actions.
Process Capability Analysis (Cp/Cpk): Able to calculate and interpret Cp, Cpk, and Ppk to verify machine and process capability during change-over and equipment acceptance.
Measurement System Analysis (MSA / Gage R&R): Understanding of gage repeatability and reproducibility to qualify measurement equipment before conducting capability studies.
Design of Experiments (DOE): Working knowledge of DOE fundamentals to support process optimization and troubleshoot multi-factor issues, such as laser marking, welding, and cell balance parameters.
Design for Six Sigma (DFSS) / Design for X (DFM/DFA): Basic understanding of DFSS, DFM, and DFA principles to provide manufacturability feedback during new product and fixture design reviews.
FMEA & Risk Analysis: Able to develop and review PFMEA for new production lines, fixtures, or process changes, and apply risk-based prioritization.
Data Analysis & Reporting: Comfortable using Excel and, ideally, basic Python or dashboards to track change-over time, downtime, and quality data and translate findings into actionable insights.
Poka-Yoke / Mistake-Proofing: Knowledge of mistake-proofing principles for fixture and assembly design to prevent recurring defects.
Lean Six Sigma Certification: Yellow Belt or Green Belt certification, or equivalent practical working knowledge, is preferred.