Staff Industrial Engineer: Capacity & Factory Optimization

Emerson

Bayan Lepas

On-site

MYR 60,000 - 90,000

Full time

3 days ago
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Job summary

Emerson in Penang, Malaysia, seeks a Staff Industrial Engineer to drive factory capacity planning, model development, and layout optimization for growth and operational excellence. Collaborate with the Test Engineering Team to ensure capacity analyses reflect latest test times, yields, and process data, and continuously improve modeling accuracy and factory utilization.

The role requires an engineering degree and 2–5 years' related experience, with strong analytical, leadership, and

Qualifications

  • Degree in an Engineering discipline from a recognized university.
  • 2 to 5 years of related capacity and layout experience.
  • Excellent quantitative, analytical, and problem-solving skills.
  • Familiarity with capacity analysis and capital expenditure planning.
  • Leadership and strong communication skills to drive improvements.

Responsibilities

  • Own short-term and long-term capacity planning for the factory.
  • Ensure capacity aligns with forecasted demand and business requirements.
  • S&OP capacity analysis: Present findings, risks, and recommendations to management to support decision-making.
  • Create, maintain, and improve capacity models.
  • Update models to reflect NPI introductions, process changes, cycle time improvements, and equipment additions.
  • Work closely with the Test Engineering Team.
  • Provide support for factory layout planning when required.
  • Optimize equipment placement, space utilization, and manufacturing flow.

Skills

Analytical thinking
Problem solving
Leadership
Communication
Capacity planning

Education

Engineering degree

Job description

Emerson in Penang, Malaysia, seeks a Staff Industrial Engineer to drive factory capacity planning, model development, and layout optimization for growth and operational excellence. Collaborate with the Test Engineering Team to ensure capacity analyses reflect latest test times, yields, and process data, and continuously improve modeling accuracy and factory utilization.

The role requires an engineering degree and 2–5 years' related experience, with strong analytical, leadership, and

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