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Course Overview

Industrial engineering focuses on designing, improving, and managing complex systems that integrate people, technology, and processes. In today’s competitive environment, productivity improvement is not only about cost reduction but also about enhancing quality, safety, and sustainability.

Delivered by EuroQuest International Training, this ten-day course explores process mapping, lean management, Six Sigma methodologies, automation, ergonomics, and continuous improvement systems. Participants will examine global case studies, apply productivity measurement tools, and develop foresight-driven strategies for resilient and high-performing operations.

The program blends technical depth, operational strategies, and governance insights, ensuring participants can align industrial engineering improvements with organizational objectives and future trends.

Course Benefits

• Improve productivity through process design and optimization

• Apply lean and Six Sigma methodologies for efficiency gains

• Strengthen governance of quality, safety, and compliance frameworks

• Anticipate risks and opportunities in operational transformation

• Apply global best practices in industrial engineering and productivity improvement

Why Attend

This course empowers participants to move beyond traditional efficiency methods toward systematic and foresight-driven productivity management. By mastering industrial engineering principles, organizations can achieve higher output, lower costs, and stronger resilience.

Training Methodology

• Structured knowledge sessions

• Strategic discussions on process and productivity frameworks

• Thematic case studies of industrial engineering improvements

• Scenario-based exploration of operational risks

• Conceptual foresight models for long-term productivity strategies

Course Objectives

By the end of this training course, participants will be able to:

• Define industrial engineering principles and productivity improvement frameworks

• Map and redesign business and manufacturing processes

• Apply lean, Six Sigma, and Kaizen for continuous improvement

• Evaluate and measure productivity performance indicators

• Integrate automation and digitalization in productivity initiatives

• Strengthen ergonomics and human factor considerations in engineering

• Ensure compliance with quality and safety standards

• Benchmark operations against global best practices

• Anticipate emerging challenges and opportunities in industrial systems

• Institutionalize sustainable productivity management frameworks

Course Outline

Unit 1: Introduction to Industrial Engineering

• Role of industrial engineering in productivity improvement

• Systems perspective in operations management

• Risks of inefficiency in competitive environments

• Global perspectives

Unit 2: Process Mapping and Workflow Design

• Process mapping and analysis tools

• Value stream mapping

• Identifying and eliminating bottlenecks

• Case studies in process redesign

Unit 3: Lean Management Principles

• Lean concepts and waste elimination (Muda, Mura, Muri)

• Just-in-Time and Kanban systems

• Lean transformation governance

• Lessons from lean enterprises

Unit 4: Six Sigma Methodologies

• DMAIC problem-solving framework

• Statistical process control

• Reducing variability and defects

• Case perspectives

Unit 5: Productivity Measurement and Metrics

• Productivity measurement frameworks

• KPIs for manufacturing and services

• Benchmarking and comparative analysis

• Governance of performance systems

Unit 6: Ergonomics and Human Factors in Engineering

• Workplace design for efficiency and safety

• Human-machine interface optimization

• Ergonomic risk assessments

• Case examples

Unit 7: Automation and Digitalization in Operations

• Robotics and smart manufacturing systems

• AI and IoT in industrial engineering

• Digital twins for productivity forecasting

• Cybersecurity in automated systems

Unit 8: Quality and Compliance Frameworks

• ISO quality management systems

• HSE compliance in industrial operations

• Regulatory frameworks in different sectors

• Case perspectives

Unit 9: Risk and Resilience in Productivity Management

• Operational risks in industrial systems

• Business continuity and resilience frameworks

• Scenario planning for supply chain risks

• Strategic foresight

Unit 10: Continuous Improvement Systems

• Kaizen and continuous improvement culture

• PDCA cycles and feedback loops

• Institutionalizing improvement governance

• Global best practices

Unit 11: Global Case Studies and Benchmarking

• Success stories in industrial engineering

• Failures and recovery strategies in productivity projects

• Comparative insights across industries

• Strategic lessons

Unit 12: Designing Sustainable Productivity Strategies

• Institutionalizing productivity improvement systems

• KPIs for monitoring productivity outcomes

• Continuous improvement and foresight integration

• Final consolidation of insights

Target Audience

• Industrial engineers and operations managers

• Manufacturing and production leaders

• Quality, risk, and compliance professionals

• Strategy and transformation leaders

• Supply chain and process improvement specialists

Target Competencies

• Industrial engineering frameworks and tools

• Process mapping, lean, and Six Sigma methodologies

• Productivity measurement and benchmarking

• Ergonomics and human factors integration

• Automation and smart manufacturing adoption

• Risk and resilience in productivity systems

• Continuous improvement and foresight planning

Join the Industrial Engineering and Productivity Improvement Training Course from EuroQuest International Training to master the frameworks, tools, and foresight strategies that optimize processes, improve efficiency, and build sustainable competitive advantage.