Master of Science in Supply Chain Management concentration in Quantitative Approaches

The Master of Science in Supply Chain Management concentration in Quantitative Approaches will equip students with the advanced quantitative skills needed to analyze and manage complex supply chains. It is focused on the needs of supply chain decision makers who must navigate the ever-changing and increasingly complex networks of facilities, partners, suppliers, and other domestic and international stakeholders. Decisions concerning the determination of supply chain strategies, analysis and mitigation of supply chain risks, management of performance, quality control, inventory and capacity management, and all other operations-related analyses will be stressed. Analytical techniques include statistical analysis, probabilistic decision-tree analysis, control charting, process capability analysis, Monte Carlo simulation and optimization techniques.

Students who complete the Supply Chain Management master’s degree concentration in Quantitative Approaches will be able to demonstrate:

  • Knowledge and skills necessary to better utilize available information in operational, tactical, and strategic decision-making in supply chains.
  • An understanding of how organizations are using interlinked data-inputs, analytics models, and decision-support tools to better understand their operations, customers, and markets.
  • An ability to describe a manufacturing, service, or business process using appropriate statistical calculations and displays.
  • How to make quality-related decisions based on information (e.g., performance metrics, survey results, or inspections) while appreciating the existence of random variation and its effect on the statistical behavior of the data.
  • An ability to implement a quality system that uses a process-oriented approach to controlling and improving processes.
  • Accuracy in the application of analytical methods in their own analysis, and the ability to recognize misapplications in the works of others, by presenting performance results in ways that inform, rather than confuse or mislead, a management audience.

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