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The half-semester graduate course in Green Supply Chain Management will focus on the fundamental strategies, tools and techniques required to analyze and design environmentally sustainable supply chain systems. Topics covered include: Closed-loop supply chains, reverse logistics systems, carbon footprinting, life-cycle analysis and supply chain sustainability strategy. Class sessions will combine presentations, case discussions and guest speakers. All students will work on a course-long team project that critically evaluates the environmental supply chain strategy of an industry or a publicly traded company. Grades will be based on class participation, case study assignments and the team project.
- Subjects:
- Logistics and Industrial and Systems Engineering
- Keywords:
- Business logistics Industrial management
- Resource Type:
- Courseware
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Courseware
This course explores the Circular Economy: how businesses can create value by reusing and recycling products, how designers can come up with amazingly clever solutions, and how you can contribute to make the Circular Economy happen.
- Subjects:
- Management and Industrial and Systems Engineering
- Keywords:
- Sustainable development Industrial management -- Environmental aspects Environmental economics
- Resource Type:
- Courseware
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Courseware
This course provides ways to analyze manufacturing systems in terms of material flow and storage, information flow, capacities, and times and durations of events. Fundamental topics include probability, inventory and queuing models, optimization, and linear and dynamic systems. Factory planning and scheduling topics include flow planning, bottleneck characterization, buffer and batch-size analysis, and dynamic behavior of production systems.
- Subjects:
- Logistics and Industrial and Systems Engineering
- Keywords:
- Manufacturing processes Production planning Production engineering
- Resource Type:
- Courseware
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Courseware
This course surveys operations research models and techniques developed for a variety of problems arising in logistical planning of multi-echelon systems. There is a focus on planning models for production/inventory/distribution strategies in general multi-echelon multi-item systems. Topics include vehicle routing problems, dynamic lot sizing inventory models, stochastic and deterministic multi-echelon inventory systems, the bullwhip effect, pricing models, and integration problems arising in supply chain management. Probability and linear programming experience required.
- Subjects:
- Logistics and Industrial and Systems Engineering
- Keywords:
- Industrial management
- Resource Type:
- Courseware