Production Supervisor: Optimize Lines & Quality

Legend of Ice Recruitment & Services Incorporated; Rizal; On-site; PHP 279,000 - 390,600; Full time

Job summary

A recruitment and services firm in Rizal is seeking a production supervisor to oversee production lines. The ideal candidate must have a Bachelor's degree in Industrial Engineering and at least 2 years of relevant experience. Responsibilities include ensuring quality, efficiency, and productivity in operations. Strong teamwork and project management skills are essential. This position is on-site and offers an opportunity to optimize production processes.

Qualifications

• Must possess a Bachelor's degree in Industrial Engineering or its equivalent.
• Preferably with at least two (2) years of experience in supervising a production line.
• Capable of directing and coordinating activities to achieve efficiency and compliance.

Responsibilities

• Supervising production lines and its components with a high degree of quality, efficiency and accuracy.
• Skilled in addressing and resolving issues that may arise, aiming for minimal disruption.
• Capable of planning and prioritizing operations to optimize performance and minimize delays.
• Ensure the attainment of high productivity with optimized production cost.
• Proficient in coordinating production workflow for one or multiple products.
• Ability to monitor jobs and achieve desired output levels.

Skills

Operations Management

Process Improvement

Project Management

Planning

Strong Work Ethic

Team Player

Education

Bachelor's degree in Industrial Engineering or equivalent

Job description

A recruitment and services firm in Rizal is seeking a production supervisor to oversee production lines. The ideal candidate must have a Bachelor's degree in Industrial Engineering and at least 2 years of relevant experience. Responsibilities include ensuring quality, efficiency, and productivity in operations. Strong teamwork and project management skills are essential. This position is on-site and offers an opportunity to optimize production processes.