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…

How can students prepare for potential business disruptions? The approach shown in this paper uses optimization modeling with parametric sensitivity analysis and further broadens the search for insights with structural sensitivity analysis in a series of contextual exercises. The exercises prompt students to identify critical resources for…

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…

In this paper, we continue describing the project and the experimentation of "Ricerca Operativa Applicazioni Reali" (ROAR; in English, Real Applications of Operations Research), a three-year project for higher secondary schools, introduced. ROAR is composed of three teaching units, addressed to Grades 10, 11, and 12, respectively, having…

We introduce "Ricerca Operativa Applicazioni Reali" (ROAR; in English, "Real Applications of Operations Research"), a three-year project for higher secondary schools. Its main aim is to improve students' interest, motivation, and skills related to Science, Technology, Engineering, and Mathematics disciplines by integrating…

We present an exercise for teaching the transportation problem using a mix of spatial and randomly generated data. It illustrates the potential of using qualitative and quantitative data and is suitable for undergraduate or introductory business school courses on operations research (OR), logistics, and supply chain management. It poses two…

This case study focuses on modeling and analyzing the practices concerning the staffing of the immigration agency at the Island of Tropical Paradise International Airport (ITPIA), which is responsible for processing arriving passengers into the country. Immigration at ITPIA has engaged you to understand the trade-offs between the number of…

The simple vehicle routing problem (VRP) is a common topic of discussion in introductory operations research/management science courses. The VRP can be framed in a variety of ways, and it can be difficult to solve to optimality. For solution purposes, introductory textbooks demonstrate how Excel's Evolutionary Solver (ES) add-in produces a…

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…

Accrediting organizations in higher education have shifted emphasis from indirect measures such as student course evaluations, focus-group interviews, and employer surveys to direct measurement of student performance using appropriate assessment instruments. In response, we developed a spreadsheet tool for reports and analysis of test assessments…

This case study focuses on modeling and analyzing the practices concerning the staffing of the immigration agency at the Island of Tropical Paradise International Airport, which is responsible for processing arriving passengers into the country. Students are challenged to model the status quo of immigration employee scheduling and analyze various…