1. Capacity measurement:
Deploy capacity measurement: mechanism follow up, training to workers, leaders, work with related departments to execute measurement.
Collect data and analyze.
Ensure data quality: abnormal points, data trend, checking Processing time standard .
Provide capacity report: Weekly, monthly.
2. Data analysis and improvement project:
Provide analysis to help production team improve effectiveness: Identify OEE trend,machine comparison, downtime analyze, fabric types... based on data.
Quick change over data analysis.
Provide OEE data for MFCA analysis.
Utilize statistical tools and techniques to measure performance and track progress.
Employ problem-solving methodologies, such as root cause analysis and 5 Whys, to address issues and implement corrective actions.
3. MFCA data capture: Material, energy, waste water, system:
Standardize Material, energy, waste water treatment, system .
Analyze yarn, fabric consumption based on data from stakeholder.
Summary DCA consumption base on auto dispensing system.
Summary energy consumption base on MES system.
Work with utility, software, automation to provide energy data (electricity, steam, water, compress air...) and waste water treatment data.
Convert from physical data to financial data base on information from finance.
Check data and improve data quality.
4. MFCA improvement activities:
Analyze material utilization data by negative and positive.
Employ problem-solving methodologies, such as root cause analysis and 5 Whys, to address issues and implement corrective actions.
Work with Production, Finance, QC, Ware house,
Purchasing for improvement activities execution.
Education: Bachelor's degree, major: Industrial system Engineering, Textile Engineering;
Language: Fluent in English;
Experience: Over 2 years of experience, particularly in the textile-dyeing industry is a plus;
Technical Skills: Industrial Engineer knowledge, AutoCAD;