Industrial Engineering

Ergonomics is the study of designing workplaces, products, and systems to fit the physical and cognitive capabilities of users. Learners will understand how to evaluate human-machine interfaces, reduce workplace injuries, and optimize productivity.

This topic covers the planning and optimization of physical spaces in manufacturing and service environments. Learners will understand how to design efficient workflows, arrange equipment, allocate space, and minimize material handling costs.

Industrial automation uses control systems, such as computers or robotics, to handle industrial machinery and processes. Learners will understand how to design, program, and maintain automated systems to improve manufacturing efficiency, safety, and product quality.

This topic covers the basic principles of designing, improving, and installing integrated systems of people, materials, and equipment. Learners will understand how to optimize complex processes, eliminate waste, and improve organizational productivity and safety.

Lean manufacturing is a systematic methodology focused on minimizing waste within manufacturing systems while maximizing productivity. Learners will understand how to identify value streams, implement continuous improvement tools, and optimize production workflows for efficiency.

Manufacturing systems focuses on the structure, operation, and control of factory production lines. Learners will understand how different manufacturing configurations, from job shops to continuous flow lines, impact throughput, lead times, and overall operational efficiency.

Operations research applies advanced analytical and mathematical methods to help make better decisions. Learners will understand how to use optimization, probability, and statistics to solve complex allocation, scheduling, and logistical problems in business and engineering.

Optimization is the study of finding the best solution to a problem given a set of constraints. Learners will understand how to formulate and solve linear, non-linear, and integer programming problems using various mathematical algorithms.

Production planning involves organizing resources, scheduling processes, and managing inventory to meet manufacturing demands. Learners will understand how to forecast demand, allocate resources, schedule production runs, and balance capacity constraints to ensure efficient factory operations.

Quality control focuses on the systems and procedures used to maintain standards in manufactured products. Learners will understand how to implement statistical process control, perform inspections, and apply quality management frameworks to prevent defects and ensure consistency.

Simulation and modeling involves creating digital representations of physical systems to analyze their behavior. Learners will understand how to build computer models, run experiments, and analyze data to predict system performance and optimize industrial processes.

Six Sigma is a data-driven methodology for eliminating defects and reducing variability in manufacturing and business processes. Learners will understand how to apply the DMAIC framework, use statistical tools, and lead process improvement projects to achieve near-perfect quality.

Supply chain engineering applies mathematical models and engineering principles to design and optimize logistics networks. Learners will understand how to mathematically model inventory policies, facility locations, transportation routes, and supply chain risks to minimize total operational costs.

Supply chain management covers the oversight of materials, information, and finances as they move from supplier to consumer. Learners will understand how to coordinate procurement, logistics, inventory management, and distribution to optimize global network efficiency.

Systems engineering is an interdisciplinary approach to designing, managing, and optimizing complex engineering systems over their life cycles. Learners will understand how to define requirements, coordinate diverse engineering disciplines, and manage system integration and testing.