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Industrial Engineering Training
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Industrial Engineering Training

4.3

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.

Dedika for students

What your team will master:

This course covers the core disciplines of industrial engineering in a structured, application-focused sequence. You will learn how to analyse and improve work methods, set labour 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 your team learns practically Industrial Engineering Training

How your team practises Industrial Engineering Training

Professionals from these companies study at Dedika

ActemiumFR
Nunner LogisticsNL
GT Constructora GeotécnicaCR
Sydel StarBR
Metrô de São PauloBR
Aguas AndinasCL
DSMIN
MeridianbetRS
CDHCN

Course content

8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

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 organisations as interconnected processes with inputs, outputs, and feedback.

  • Lesson 3 • Quantitative Reasoning for Engineers

    Reviews essential maths and statistics used throughout IE coursework. Builds fluency in data interpretation, probability, and basic modelling.

  • 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 2See details

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

    Formalises 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 3See details

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 normalise 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 4See details

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 Programme Management

    Structures a facility-wide ergonomics programme 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 prioritise 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-centred 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 recognised exposure guidelines.

Chapter 5See details

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 minimise 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 computerised 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 6See details

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 minimise 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 7See details

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 prioritise 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 8See details

Lean Manufacturing and Continuous Improvement

  • Lesson 1 • Value Stream Mapping

    Creates current-state and future-state value stream maps to visualise 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 Organisation

    Implements Sort, Set in Order, Shine, Standardise, 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.

Certification

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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