Industrial Engineering Syllabus

The syllabus varies by programme. The subject families below represent a balanced pathway from manufacturing fundamentals to optimisation, quality, planning, automation and production management.

Engineering Mathematics

Mathematics includes calculus, matrices, probability, statistics, numerical methods and optimisation. These topics support forecasting, inventory decisions, quality analysis, resource allocation, scheduling, simulation and risk-based decisions.

Basic industrial engineering

Students receive an introduction to manufacturing systems, materials, machines, processes, metrology, quality, planning, material flow, economics and industrial safety.

Engineering drawing and visualisation

Students learn orthographic and sectional views, dimensioning, tolerances, surface-finish symbols and interpretation of component, assembly, tooling and layout drawings. Visualisation helps them understand process sequence, machine access, inspection points and material movement.

Mechanics and strength of materials

Mechanics covers forces, stress, strain, bending, torsion, failure and material behaviour. These ideas support press-capacity estimation, die loading, component integrity and safe handling equipment.

Materials engineering and metallurgy

Students study engineering materials, phase diagrams, heat treatment, properties and material selection. This foundation helps them connect process conditions, machinability, tool life, quality and component performance.

Metrology and measurement

This subject covers dimensional measurement, measurement uncertainty, gauges, calibration, sampling and data acquisition. Students also learn why an improvement study fails when definitions, instruments or sampling methods change midway. Reliable data is the foundation of quality and productivity decisions.

Manufacturing processes

Manufacturing processes include machining, forming, casting, joining, polymer processing and additive methods. Students compare capability, tooling, productivity, tolerance, surface finish, waste and cost.

Machine tools and machining science

Students learn machine-tool construction, cutting mechanics, cutting forces, tool materials, wear, temperature, surface finish and machining economics. Laboratory work connects speed, feed and depth of cut with measured outcomes.

Metal forming and fabrication

This area covers rolling, forging, extrusion, drawing, sheet-metal operations, welding and fabrication. Students examine force, deformation, tooling, defects, process windows and safety.

Tool design and manufacturing fixtures

Students design jigs, fixtures, dies, cutting tools and gauges that locate, support and control work. Tooling choices depend on quantity, accuracy, machine, changeover, safety and production cost.

Computer-aided manufacturing

Computer-aided manufacturing covers CNC programming, tool paths, process planning, data transfer and computer-integrated production. Students must verify coordinates, tools, work holding and collision risks.

Work study and method engineering

Method study examines how work is performed, while work measurement estimates the time for a defined task under stated conditions. Ethical use requires allowance for fatigue, variation, safety and human dignity.

Ergonomics and human factors

Ergonomics adapts tools, workplaces, displays and tasks to human capability. Students consider posture, repetition, lifting, reach, visibility, fatigue, cognition and safe work-system design.

Operations research

Operations research covers linear and integer programming, transportation, assignment, networks, queuing, inventory, game or decision models and simulation. Models support decisions but depend on valid assumptions.

Production planning and control

Students learn forecasting, aggregate planning, capacity, material requirements planning, routing, loading, scheduling, dispatching and progress control. The objective is dependable flow rather than maximum local machine utilisation.

Inventory and materials management

Inventory subjects cover demand, lead time, order quantity, safety stock, classification, purchasing, stores and material movement. Too little stock causes disruption, while too much hides problems and ties up money.

Facilities planning and plant layout

Facilities planning arranges departments, machines, stores, people and services to support safe flow. Students compare product, process, cellular and fixed-position layouts and use relationship and distance data.

Material handling and warehousing

Material handling covers conveyors, cranes, industrial trucks, robots, storage and packaging. Good systems reduce damage, waiting and unsafe manual effort without creating bottlenecks.

Quality engineering and statistical control

Students study variation, control charts, process capability, acceptance sampling, measurement systems, reliability and experimental design. Quality decisions require stable definitions and trustworthy data.

Lean manufacturing and continuous improvement

Lean study examines value, flow, pull, workplace organisation, setup reduction, visual control, mistake prevention and structured problem-solving. Improvement must not become understaffing or unsafe speed-up.

Supply-chain management

Supply-chain subjects cover sourcing, supplier development, logistics, distribution, coordination, resilience and total landed cost. Engineers study how demand changes and disruptions travel across networks.

Reliability and maintenance engineering

Maintenance study covers failure patterns, preventive and predictive work, condition monitoring, availability, maintainability and spare parts. Total productive maintenance connects equipment care with operators and improvement teams.

Automation, robotics and mechatronics

Automation combines sensors, controllers, actuators, robots, machine vision and information systems. Students should understand process and safety before automating it; a faster unstable process creates defects more quickly.

Sensors and transducers

Students examine resistive, capacitive, inductive, optical and semiconductor sensors. Selection considers range, accuracy, response, environment, calibration and maintainability.

Actuators

Actuators include motors, valves, hydraulic cylinders, pneumatic devices and power converters. Control commands must respect speed, force, travel and thermal limits.

Process simulation and production data

Students collect process, machine, cycle-time, queue, defect, inventory and inspection data. Statistical tools and simulation help identify variation and support decisions, but results must be checked against shop evidence.

Industrial facilities and shop layout

Shop layout considers process sequence, machine access, buffers, stores, inspection, utilities, maintenance, people and dispatch. Safe travel paths, emergency access and future flexibility are essential.

Yield, cost and productivity

Yield compares acceptable output with the material, time or units entering a process. Students study scrap, rework, energy, tooling life, cycle time, labour, availability, performance and quality to improve total productivity without weakening safety or customer requirements.

Standards, safety and design ethics

Students learn drawing standards, material specifications, inspection requirements, documentation, traceability and professional responsibility. Designs must consider predictable misuse, worker safety, environmental impact and the limits of available data.

Service and healthcare systems

Industrial-engineering methods also apply to hospitals, logistics, banking and public services. Queues, capacity, scheduling, layout and reliability must be improved without ignoring user needs and professional judgement.

Engineering economics and cost analysis

Students evaluate investment, depreciation, cash flow, break-even, replacement and life-cycle cost. A low unit cost is not useful when quality, lead time, risk or demand assumptions are unrealistic.

Automation and robotic handling

Robotics subjects include kinematics, dynamics, trajectory generation, servo control and coordination. Accurate motion requires suitable sensors, actuators, models and real-time computation.

Manufacturing information systems

Manufacturing information systems connect planning, materials, machines, quality, maintenance and traceability. Students may study ERP, MES, databases and dashboards while learning that inconsistent master data can mislead decisions.

Discrete-event simulation and digital twins

Discrete-event simulation studies queues, machines, workers, transport and random events over time. Digital models can test layouts or schedules, but input distributions and validation matter more than attractive animation.

Industrial safety and risk engineering

Safety subjects cover machinery, material handling, fire, chemicals, noise, ergonomics, electrical energy and emergency response. Risk assessment, guarding, isolation, maintenance, training and controlled procedures are essential.

Industrial cybersecurity

Modern plants connect machines, robots, inspection systems and production databases. Students need awareness of controlled access, backups and data integrity, but digital systems do not replace process knowledge or safety.

Typical laboratories

Project ideas

• production-line balancing with worker-safety constraints;
• facility-layout redesign using travel and relationship data;
• setup-time reduction with before-and-after measurements;
• inventory policy for uncertain demand and lead time;
• machine-breakdown and maintenance simulation;
• process-capability and measurement-system study;
• ergonomic redesign of a repetitive workstation;
• scheduling comparison for a job shop;
• material-handling improvement with risk assessment;
• energy, scrap or waiting-time reduction in a model process.