Industrial Engineering Manager

For an Industrial Engineering professional with 10–15 years of experience, the role of an Industrial Engineering (IE) Manager in the RMG sector is a senior-level position focused on converting operational discipline into financial performance.

Detailed Job Description: IE Manager (RMG)

Position Overview

The IE Manager leads the Industrial Engineering function to drive efficiency improvements, optimize resource utilization, and enhance factory productivity. This is a strategic role responsible for the "profit engineering architecture" embedded within manufacturing economics.

Core Responsibilities

• Production Planning & Optimization: Conduct full-line capacity studies and line balancing to eliminate bottlenecks and ensure minimum Work in Progress (WIP).
• Standardization: Develop and maintain Operation Bulletins (OB) and determine Standard Minute Values (SMV) or SAM for new and existing styles.
• Efficiency Management: Monitor and improve factory efficiency, capacity utilization, and hourly production across all departments.
• Method Improvement: Implement process excellence methods, motion studies, and innovative techniques to improve productivity at minimum cost.
• Cost Control: Analyze line costs (CM, EPM), calculate target metrics, and provide management presentations on efficiency dashboards.
• Continuous Improvement: Lead the implementation of lean manufacturing, Kaizen, and Six Sigma projects.
• Cross-Functional Collaboration: Coordinate closely with Pilot, Production, Quality, and Merchandising teams during new product development and order execution
• Team Leadership: Manage and mentor production teams, ensuring adherence to safety, environmental, and quality standards.

Requirements & Skills

• Education: Bachelor’s degree in Industrial Engineering, Industrial & Production Engineering (IPE), or a related discipline from a reputed university.
• Experience: 10–15 years of relevant experience in RMG manufacturing (woven or knit).
• Technical Expertise: Strong command of time studies, method studies, and low-SMV production systems.
• Analytical Skills: Proficiency in IE software, MS Excel, MIS report writing, and data-driven decision-making.
• Leadership: Proven ability to lead large-scale operations (e.g., up to 200 lines) and motivate personnel.