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John Dong, the founder and CEO of Kaffee Kostuum developed the idea of Kaffee Kostuum in his own MBA capstone project five years ago. Shortly after graduation, he received seed money from business angels, as well as a favorable bank loan. His value proposition was clear from the beginning: “Be a provider of an unlimited variety of affordable suits, directly available from stock.” The idea sprang from his frustration with two less-than-ideal circumstances: He either had to wait four weeks to get a pricey tailor-made suit or purchase from among the limited selection of affordable suits in his local department store. To keep his company's prices down, Dong worked with a production unit in Vietnam.

The production dice game is a powerful learning exercise focusing on the impact of variability and dependency on throughput and work‐in‐process inventory of flow lines. This paper seeks to extend the basic dice game along the following lines. First, it will allow operations to take place concurrently as opposed to sequentially, which works better in a classroom setting. Second, it will allow both starvation and blocking of the line. Third, it will consider balanced lines with workstations characterized by different degrees of variability. Finally, it aims to use different sets of dice in order to represent a wide range of variation coefficients of the production line. The obtained insights can be extended to a supply chain context as well. The developed game can be played on‐line and the software is freely downloadable.

The paper extends the dice game and offers an easy‐to‐use simulation tool.

The key aspect of students' learning experience is the understanding of the relationship between variability and throughput in an environment with dependent workstations and limited buffers.

A rather complicated research question is transformed into an easy‐to‐use simulation tool that in no time can be used by practitioners and students.

The aim of this review and of the papers in this special issue is to critically examine different approaches to teaching operations management (OM) in order to provoke and stimulate educators within the discipline.

The papers within this special issue include empirical assessments of a problem‐based learning enterprise resource planning (ERP) simulation; a computer‐based learning tool for material requirements planning (MRP); a simulation of assembly operations; an operations strategy innovation game; an extension of the production dice game; an experiential teaching method in different class settings; and problem‐based assessment methods in OM. A variety of data are used to support these empirical studies, including survey, interview, and observational data.

The papers within the special issue support the argument that OM is well‐suited to more applied methods of teaching focusing on the application of subject knowledge to real‐life situations through a variety of techniques.

It is hoped that this review and the papers within this special issue act to stimulate educators to re‐evaluate their approaches to teaching OM and encourage them to consider adopting experiential teaching methods, business simulations, role‐plays, group exercises, live cases, and virtual learning environments, instead of, or in addition to, the more conventional lectures that typically dominate many OM modules around the world.

A special issue on teaching OM appears timely given the significant changes to both the university landscape and to the nature of the discipline that we have witnessed over the last quarter of a century.