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Guided learning journeys that build knowledge step by step.
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7808 Paths · page 308 / 781
This learning path equips senior and graduate students with the knowledge to apply core logistics principles to humanitarian operations. It covers the fundamentals of logistics and supply chain management, then focuses on the unique challenges of disaster relief, resource allocation, and coordination among multiple actors. The path emphasizes practical application through case studies and exercises.
This learning path introduces the principles of occupational safety within industrial environments, covering hazard analysis, OSHA standards, and safety management, with a focus on human factors. It is designed for university students pursuing careers in industrial engineering or safety engineering.
This advanced learning path equips senior and graduate industrial engineering students with the knowledge and skills to design operations and supply chains that are environmentally sustainable. It covers environmental impact assessment, circular economy principles, green logistics, and the integration of sustainability into supply chain management.
This advanced learning path equips senior and graduate industrial engineering students with the knowledge and skills to manage energy efficiency in industrial settings. It covers energy auditing, energy-saving opportunities, renewable energy integration, and the engineering economics necessary for decision-making. The path progresses from foundational concepts to advanced application, emphasizing practical, data-driven energy management.
This advanced learning path equips senior industrial engineering students with a systematic understanding of industrial robotics and automation. It covers robot types, kinematics, programming, safety, and integration into manufacturing systems, emphasizing real-world applications and career readiness.
This path guides senior industrial engineering students through the principles and practices of Lean Six Sigma, from foundational concepts to the DMAIC methodology and advanced tools. It emphasizes waste reduction, root cause analysis, and quality control, culminating in a comprehensive project applying these skills.
This learning path equips senior industrial engineering students with the knowledge and skills to design and improve service operations, covering service design, queuing, workforce management, and quality. It progresses from foundational concepts to advanced applications, integrating cross-disciplinary knowledge from operations management, statistics, and human factors.
This advanced learning path equips senior industrial engineering students with the knowledge and skills to design and optimize logistics networks. It covers foundational concepts in supply chain management, network design, routing, freight, and distribution, emphasizing practical application and optimization techniques.
This learning path equips senior and graduate students with the skills to apply industrial engineering methods to healthcare systems. It covers patient flow, scheduling, resource allocation, and quality improvement, integrating operations research techniques. Learners will progress from foundational healthcare operations to advanced modeling and analysis.
This learning path guides senior industrial engineering students through the principles and practices of discrete-event simulation and agent-based modeling using Arena and AnyLogic. It covers model building, animation, statistical analysis, and optimization to enable effective system analysis and decision-making.