
Industrial Engineering Training
Master the full toolkit of industrial engineering — from work measurement and lean manufacturing to facility planning and statistical quality control. This training gives you the practical methods used by IE professionals across manufacturing and service industries. Whether you're entering the field or advancing your career, you'll build skills that directly improve efficiency, quality, and cost performance.
What you will learn:
This course covers the core disciplines of industrial engineering in a structured, application-focused sequence. You will learn how to analyze and improve work methods, set labor standards, and design ergonomic workstations. You will apply lean principles, value stream mapping, and 5S to eliminate waste and sustain operational gains. The curriculum also covers production planning, inventory control, facility layout, and statistical process control. Supplementary modules introduce operations research, supply chain management, Industry 4.0 technologies, and project management. By the end, you will have the technical knowledge and practical tools to solve real industrial engineering problems with confidence.
How you study in practice Industrial Engineering Training
How you practice Industrial Engineering Training
For companies that want to train their team
With Dedika for Business, the course includes exercises and examples tailored to your own business and the way your company needs.
Course content
8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Industrial Engineering
Foundations of Industrial Engineering
Lesson 1 • IE Tools and Professional Standards
Surveys standard IE tools—flowcharts, cause-and-effect diagrams, and checklists. Connects tool selection to professional and ethical practice standards.
Lesson 2 • Systems Thinking and Process Perspective
Introduces systems thinking as the analytical lens for IE practice. Students model organizations as interconnected processes with inputs, outputs, and feedback.
Lesson 3 • Quantitative Reasoning for Engineers
Reviews essential math and statistics used throughout IE coursework. Builds fluency in data interpretation, probability, and basic modeling.
Lesson 4 • History and Scope of Industrial Engineering
Traces IE from scientific management to modern systems integration. Provides context for all subsequent technical methods taught in this course.
Chapter 2HideHide detailsSee detailsWork Study and Methods Engineering
Work Study and Methods Engineering
Lesson 1 • Work Sampling and Activity Analysis
Uses statistical sampling to estimate activity proportions without continuous observation. Students design valid sampling studies and interpret results.
Lesson 2 • Methods Improvement and Documentation
Formalizes improved methods through standard operating procedures and visual aids. Ensures changes are sustainable and transferable across shifts.
Lesson 3 • Method Study Fundamentals
Covers the six-step method study procedure from problem selection to implementation. Anchors all subsequent work analysis techniques in a disciplined framework.
Lesson 4 • Process and Flow Charting Techniques
Teaches ASME process chart symbols and flow diagram construction. Students document material and operator movement to expose non-value-adding steps.
Lesson 5 • Motion Economy and Workplace Design
Applies motion economy principles to reduce operator fatigue and cycle time. Connects ergonomic layout to productivity and safety outcomes.
Chapter 3HideHide detailsSee detailsTime Study and Work Measurement
Time Study and Work Measurement
Lesson 1 • Time Study Preparation and Equipment
Covers observer positioning, element breakdown, and timing equipment selection. Proper preparation ensures valid, repeatable time study data.
Lesson 2 • Performance Rating Techniques
Teaches Westinghouse, synthetic, and pace rating systems to normalize observed times. Accurate rating is the critical link between observed and normal time.
Lesson 3 • Predetermined Motion Time Systems
Introduces MTM and MOST as alternatives to stopwatch study for new or low-volume work. Students build time standards from motion-level data.
Lesson 4 • Allowances and Standard Time Calculation
Derives personal, fatigue, and delay allowances from data and policy. Students compute standard time and validate it against historical records.
Lesson 5 • Standard Data and Formula Development
Aggregates elemental standards into reusable standard data systems. Reduces future study effort and improves consistency across similar jobs.
Chapter 4HideHide detailsSee detailsErgonomics and Human Factors
Ergonomics and Human Factors
Lesson 1 • Workstation and Tool Design
Translates anthropometric and biomechanical data into workstation and hand-tool specifications. Reduces awkward postures and excessive force requirements.
Lesson 2 • Ergonomics Program Management
Structures a facility-wide ergonomics program with hazard reporting, training, and metrics. Connects individual assessments to systemic injury prevention outcomes.
Lesson 3 • Musculoskeletal Risk Assessment
Applies RULA, REBA, and NIOSH lifting equation to quantify injury risk. Students prioritize interventions based on risk scores and exposure frequency.
Lesson 4 • Human Capabilities and Limitations
Covers anthropometric data, sensory limits, and cognitive load as design inputs. Establishes the human-centered foundation for all ergonomic interventions.
Lesson 5 • Environmental Ergonomics
Addresses lighting, noise, thermal comfort, and vibration as productivity and health factors. Students specify environmental conditions using recognized exposure guidelines.
Chapter 5HideHide detailsSee detailsFacility Planning and Plant Layout
Facility Planning and Plant Layout
Lesson 1 • Material Handling System Design
Selects and integrates material handling equipment with the facility layout. Applies the ten principles of material handling to minimize cost and risk.
Lesson 2 • Space Requirements and Determination
Calculates space needs for equipment, operators, aisles, and storage using systematic methods. Ensures layouts accommodate material handling and safety clearances.
Lesson 3 • Layout Generation and Evaluation
Generates block layouts using systematic layout planning and computerized tools. Evaluates alternatives on cost, flow efficiency, flexibility, and safety.
Lesson 4 • Flow and Activity Relationship Analysis
Uses from-to charts and relationship diagrams to quantify and qualify department adjacency needs. Provides the data foundation for layout generation.
Lesson 5 • Facility Planning Process and Objectives
Defines facility planning goals, constraints, and the systematic planning sequence. Frames layout decisions within broader supply chain and capacity strategy.
Chapter 6HideHide detailsSee detailsProduction Planning and Inventory Control
Production Planning and Inventory Control
Lesson 1 • Just-in-Time and Pull Systems
Contrasts push MRP with pull-based kanban and JIT replenishment logic. Students size kanban loops and identify prerequisites for JIT implementation.
Lesson 2 • Demand Forecasting Methods
Covers qualitative and quantitative forecasting techniques including moving averages and exponential smoothing. Accurate forecasts drive all downstream planning decisions.
Lesson 3 • Inventory Management Models
Applies EOQ, reorder point, and safety stock models to minimize total inventory cost. Connects inventory policy to service level and demand variability.
Lesson 4 • Aggregate Production Planning
Develops medium-range plans balancing workforce, inventory, and subcontracting strategies. Students evaluate chase, level, and mixed strategies using cost models.
Lesson 5 • Material Requirements Planning
Executes MRP logic using bills of materials, inventory records, and master schedules. Students compute planned order releases and manage exception messages.
Chapter 7HideHide detailsSee detailsQuality Engineering and Statistical Control
Quality Engineering and Statistical Control
Lesson 1 • Acceptance Sampling Plans
Designs attribute and variable sampling plans using OC curves and risk parameters. Balances producer and consumer risk in incoming and outgoing inspection.
Lesson 2 • Process Capability Analysis
Calculates Cp, Cpk, and Ppk indices to assess whether processes meet specification limits. Students identify capability gaps and prioritize improvement actions.
Lesson 3 • Quality Management Principles
Establishes quality cost categories, customer-focused quality definitions, and management system frameworks. Provides strategic context for all technical quality tools.
Lesson 4 • Root Cause Analysis and Corrective Action
Applies 8D, 5-Why, and fault tree analysis to identify and eliminate defect root causes. Closes the quality loop with verified corrective and preventive actions.
Lesson 5 • Statistical Process Control Charts
Constructs and interprets X-bar, R, p, and c charts to distinguish common from special cause variation. SPC is the primary real-time process monitoring tool.
Chapter 8HideHide detailsSee detailsLean Manufacturing and Continuous Improvement
Lean Manufacturing and Continuous Improvement
Lesson 1 • Value Stream Mapping
Creates current-state and future-state value stream maps to visualize flow and target improvement. VSM is the primary strategic tool for lean transformation planning.
Lesson 2 • Kaizen Event Planning and Execution
Structures rapid improvement events from charter development through follow-up action tracking. Students facilitate team-based kaizen and sustain gains post-event.
Lesson 3 • 5S Workplace Organization
Implements Sort, Set in Order, Shine, Standardize, and Sustain to create a stable work environment. 5S is the foundation for all other lean tools.
Lesson 4 • Lean Metrics and Sustaining Improvement
Tracks OEE, takt time, lead time, and first-pass yield to measure lean progress. Establishes visual management systems that sustain gains over time.
Lesson 5 • Lean Principles and Waste Identification
Defines the eight wastes and five lean principles as the conceptual framework for improvement. Students identify and quantify waste in real process scenarios.
Your valid completion certificate
This course is for you:
Manufacturing technician: ready to move into an engineering role.
Recent engineering graduate: seeking structured, practical IE methodology training.
Operations supervisor: wanting data-driven tools to justify process improvements.
Career changer: transitioning from logistics or supply chain into industrial engineering.
Quality analyst: looking to expand competency beyond inspection into systems improvement.
Plant manager: aiming to speak the same technical language as their IE team.
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