Preparing your Path…
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Path Catalog
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7801 Paths · page 309 / 781
This path equips senior industrial engineering students with advanced quality management skills, focusing on experimental design, ANOVA, and robust design methods including Taguchi approaches. Learners will progress from foundational statistics and quality control to designing experiments, analyzing results, and applying robust engineering principles to improve product and process quality.
This learning path guides senior industrial engineering students through advanced optimization techniques, covering integer programming, dynamic programming, and nonlinear programming. It builds on foundational operations research concepts and develops the skills needed to model and solve complex decision problems.
This learning path provides a systematic introduction to the design and analysis of manufacturing systems for junior industrial engineering students. It covers process analysis, assembly systems, and lean manufacturing, with a foundation in operations management.
This path equips sophomore industrial engineering students with the core concepts of engineering economics, enabling them to evaluate projects using time value of money, cash flow analysis, and rate of return methods. Through a structured sequence from foundational principles to practical application, learners will make informed engineering decisions.
This learning path guides junior industrial engineering students through the fundamentals of discrete-event simulation. It covers probability and statistics foundations, simulation model building, input analysis, and output analysis, providing the skills needed to develop and analyze simulation models for real-world systems.
This learning path introduces junior industrial engineering students to the core concepts of supply chain management, covering procurement, logistics, distribution, inventory, and strategic integration. It builds from foundational operations management principles to advanced supply chain strategies, preparing learners for careers in supply chain roles.
This learning path guides junior industrial engineering students through the fundamental concepts of facilities planning, including plant layout, material handling, location analysis, and the application of operations research techniques. Learners will develop the skills to analyze, design, and optimize industrial facilities.
This learning path introduces junior industrial engineering students to the principles of ergonomics and human factors. It covers anthropometry, physical ergonomics, cognitive factors, and workplace design, emphasizing how these elements integrate to create safe, efficient, and user-centered work systems.
This path equips junior industrial engineering students with the knowledge and skills to apply quality control tools and Six Sigma methodologies. It covers statistical process control, process capability analysis, the DMAIC framework, and essential quality tools, building from foundational statistics to practical application.
This path introduces junior industrial engineering students to the core concepts of managing production systems, covering forecasting, aggregate planning, inventory management, and scheduling. It builds on foundational knowledge in statistics and operations research, emphasizing practical application and decision-making.