SCO6072: Managing Technologies in the Supply Chain

Course prepares students to develop capabilities for (i) making well-informed technology choice decisions; (ii) effectively managing the development and implementation of technologies; and (iii) collaboratively engaging in crisis management and problem solving during technology development and implementation. The central question around which the course is organized is: How can existing and emerging technologies (e.g., IoT, automation, artificial intelligence, 3D printing, block chains) and the related process and people issues be managed to design and sustain reliable, responsive, resilient, and responsible supply chains? Analytic methods covered in the course to inform decisions related to the development and implementation of technologies include statistical methods (e.g., multivariate regression, time-series analysis, hazard models), risk analysis methods (e.g., decision trees) and predictive analytic methods (e.g., random forest). Through a combination of operations analysis case studies and hands-on exercises, students learn to evaluate the potential upside and downside risks of existing and emerging technologies. The final course project involves designing and testing of prototype systems for evaluating the development and implementation in supply chain and operations settings of companies.

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