Supply Chain Analytics Certificate
Participants successfully completing the three Supply Chain Analytics courses will be awarded the Certificate of Completion in Supply Chain Analytics. Registrants of the Supply Chain Analytics Certificate program receive a 15 percent discount off of each course. Courses may also be taken individually.
This class will teach you how to solve complex problems using Excel-based discrete optimization tools. Optimization technology is omnipresent in our society. Applications are diverse from scheduling traffic lights to checkout lanes in grocery stores, from transportation of goods globally to organizing your personal time to meet deadlines. Optimization is needed everywhere for success.
This class is an introduction to discrete optimization and will expose participants to some of the most fundamental concepts in the field. It will cover modeling and optimization with linear and integer programming, teach scenario planning using what-if analysis, and discuss practical case studies and examples from project management, decision analysis, scheduling, allocation of resources, and supply-chain optimization. Basic Microsoft Excel capabilities are required for this offering.
Supply chains are complex systems involving multiple organizations with different goals and objectives. Many different analytical approaches are used in practice to better design and manage these supply chain ecosystems. In this course, focus on the application rather than the theoretical aspects. Emphasis will be on a variety of fundamental supply chain applications such as transportation, capacity allocation, production planning, network flow, vehicle routing, aggregate planning, sales and operations planning, and network design. Using Excel, gain hands-on experience in creating and solving optimal distribution, planning and logistics problems. The format of this course includes lectures and problem-solving sessions.Basic Microsoft Excel capabilities are required for this offering.
Master your inventory with this fluid course on inventory optimization using Excel-based (statistical) tools. Topics in this course include the economic order quantity model, dynamic lot sizing, statistical inventory models, bullwhip effect, and inventory positioning and logistics coordination in supply chains. In addition, using the tools discussed in this course, you are able to perform cycle stock, safety stock and service level calculations, and account for uncertain demands and backlogging. The format of this course includes lectures and problem-solving sessions. Basic Microsoft Office, probability and statistics experience is required.
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Join us at a free, online or in-person information session. This information session is delivered using Zoom technology. You may attend in-person on Rice University's campus, or join us in our online classroom.
Wednesday, December 5, 2018, noon Central time
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