12–15 total credits required
In as few as eight months, the Graduate Certificate in Supply Chain Management from The University of Scranton will elevate your understanding of supply chain strategy and management, production planning and control, and network design and integration with a unique emphasis on quality management — an important area of study that many other programs fail to cover.
Comprised of four courses and up to three prerequisite modules, you will gain the analytical and problem-solving skills needed to master the wide-ranging responsibilities and tasks in operations management.
This course is designed to emphasize the strategic importance of operations management to the overall performance of the enterprise. Topics include: product and process planning and design, forecasting, facility location and layout, production staffing, job design and work measurement, capacity planning, aggregate planning, inventory management, requirements planning, operations scheduling, Just-in-time, and quality assurance.
This course focuses on the design, operation, and control of supply chains in the global context. Topics include: supply chain strategy, risk pooling and inventory placement, distribution systems, network design and transportation, strategies for managing product variety, supply chain coordination, revenue management, and decision support systems for supply chain operations. Issues specific to global sourcing, and risk management in international supply chains will be explored.
Quality Management provides the means for the organization to define its culture and to support the constant attainment of customer satisfaction through an integrated system of tools, techniques, and training. Topic coverage focuses on applying various continuous improvement techniques such as statistical process charts and assessment frameworks (e.g., Deming’s philosophy, Baldrige Criteria, ISO 9000) in order to achieve world class quality.
This course overviews business processes across marketing, procurement, production and finance as one integrated customer-oriented value chain to be managed from the perspective of the overall enterprise. It examines the optimization of business processes and their integration through the effective deployment of enterprise systems technology such as SAP R/3.
This course module is intended to develop the statistical concepts and techniques that are needed to make business decisions. Topics to be covered include detailed coverage of descriptive statistics, probability theory (including Bayes’ Theorem), and discrete and continuous probability distributions with an emphasis on business applications. A survey of modern statistical methods covering sampling distributions, interval estimation, hypothesis testing, and regression and correlation analysis will be discussed.
An introduction to the quantitative approaches used in today’s businesses to solve decision problems. Topics will include overviews of linear programming, spreadsheet modeling, project scheduling, waiting line systems, and simulation.
A functional review of how to manage the activities involved in the process of converting or transforming resources into products or services. Topics include an overview of strategic decisions, forecasting, basic inventory models, aggregate planning and master scheduling, materials requirements planning, and scheduling operations.
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