Faculty
Marcia Regina Santiago Scarpin, Director of Accelerated Master of Science in Business Analytics
The objective of the program in Supply Chain Management (minor and major) is to equip students with the management skills needed to be able to manage the flow of goods and provide them with a comprehensive understanding of the important role played by global supply chains in the success of organizations across industries. It is an interdisciplinary approach integrating economics, logistics, operations management, and business concepts.
Experiential learning is available in the form of fund management and internships. These experiences complement the classroom and prepare students for careers in the dynamic financial services industry.
SCM 390 Academic Internships taken for credit are 1-12 credits (up to 12 credits toward graduation; up to 3 credits toward completion of a supply chain management major).
Courses
Supply chain operating concepts (materials and logistics management) are presented. The dynamic nature of supply chain management for goods and services that impact the global economy are emphasized. Students gain a perspective about inventory operations, distribution, sourcing and procurement systems, postponement, and logistics management within a global context.
This course provides a comprehensive understanding of logistics and transportation management, emphasizing the critical role they play in modern business operations. Students will explore key concepts, principles, and strategies for the seamless movement of goods, information, and resources across the entire supply chain.
The Strategic Purchasing & Sourcing course is designed to provide students with a comprehensive understanding of the key principles, practices, and strategies involved in the purchasing and sourcing functions within modern businesses. The course delves into the fundamental concepts of supply chain management, emphasizing the strategic role of purchasing in achieving organizational objectives.
An introduction to the theory and practice of quantitative modeling and optimization, with applications to computer simulation and business resource management. Possible topics include linear and nonlinear programming, network analysis, game theory, deterministic and probabilistic models. PEAK DESCRIPTION: Students will seek out an organization of their choosing (non-profit, commercial business, political campaign, internal to Concordia College group, etc.) and complete an optimization consulting project. Students will work in groups of 2-4 members to translate the project requirements into mathematical language, solve the optimization problem, and deliver solutions and recommendations to the client. Students will also complete a postmortem report documenting their skills gained and how their perspective was changed by the project. Examples of past projects include optimal potato selection for RDO Farms, truck routing for Great Plains Food Bank, and sports scheduling for the MIAC.