In this paper, we describe a course project in which teams of undergraduate students propose and execute an end-to-end analytics project to solve a real-world problem. The project challenges students to implement machine learning, optimization, simulation, or a combination of these three techniques on real-world data that they collect. A…

Artificial intelligence (AI) and operations research (OR) have long been intertwined because of their synergistic relationship. Given the increasing popularity of AI and machine learning in particular, we face growing demand for educational offerings in this area from our students. This paper describes two courses that introduce machine learning…

The Tangibles in Operations Strategy (TANGOS) exercise provides students with the direct experience of designing a firm's operations function. Specifically, students must engage in decision making with respect to the structural decision areas in a firm's operations strategy, by considering the firm's product strategy and span of control, process…

It is often challenging to make decisions about how to teach planning within an undergraduate operations management module. This article defines and compares the two standard options available to instructors: (a) the traditional "technical" approach or (b) the "conceptual" or "conversational" approach. Through a…

Research in Australia on evaluating the application of action research as an action learning tool and its impact on the learning of students, educators, industry, and training providers, explored how that learning, in turn, has impacts on research, learners, educators, and the community. In the field of social and community services, in…