Manufacturing Process Improvement Engineer

Personal Collection Direct Selling Inc.; Antipolo; On-site; PHP 350,000 - 600,000; Full time

Job summary

Personal Collection Direct Selling Inc. is seeking a Production/Process Engineer to monitor daily production performance, apply time and motion studies, and drive continuous improvements across manufacturing operations in the Philippines.

The role emphasizes KPI achievement, standardization, and cross-functional collaboration with maintenance, QA, and PPIC teams. Responsibilities include planning and executing production schedules, analyzing data to reduce scrap and downtime, and developing work

Qualifications

• 1–3 years experience in manufacturing operations or production engineering.
• Bachelor's degree in relevant engineering field.
• Experience in plastic manufacturing or injection/blow molding is a plus.

Responsibilities

• Monitor daily production performance, KPI and OEE to ensure targets.
• Plan and execute production plans to meet schedules and customer needs.
• Conduct Time and Motion Studies to optimize cycle times and manpower use.
• Analyze production data and implement continuous improvement to reduce scrap and downtime.
• Develop and maintain production standards and work instructions.
• Coordinate with Maintenance, QA, Warehouse, PPIC and other teams to resolve issues.
• Prepare production performance reports and support plant objectives.

Skills

Time and Motion Studies

Analytical thinking

Problem-solving

Communication skills

Continuous Improvement

Education

Bachelor’s Degree in Industrial Engineering

Tools

Google Workspace

Microsoft Office

Excel/Sheets

Job description

Personal Collection Direct Selling Inc. is seeking a Production/Process Engineer to monitor daily production performance, apply time and motion studies, and drive continuous improvements across manufacturing operations in the Philippines.

The role emphasizes KPI achievement, standardization, and cross-functional collaboration with maintenance, QA, and PPIC teams. Responsibilities include planning and executing production schedules, analyzing data to reduce scrap and downtime, and developing work