Simulation

The Simulation area supports the field’s continuing growth by publishing significant work in simulation modeling, methodology, and applications that advance the knowledge and practice of simulation.

The maturity of the simulation area suggests that the key growth areas are in its interfaces with other methodological and application areas. Accordingly, in addition to the traditional areas of random object generation, estimation, efficiency improvement, verification, validation and accreditation, output analysis, sensitivity and uncertainty analysis, and so on, we welcome contributions that develop the interface of simulation with other methodological areas (for example, optimization and applied probability) or application areas (such as healthcare, financial engineering, business processes, and energy).

When preparing a paper for the simulation area, authors are encouraged to clearly describe, for a general OR audience, the contributions of the paper. Methodology papers should have broad applicability and explain both the need for and the use of the new methodology. Papers that deal with a significant application area must be more than just well-executed simulation studies of a particular problem. They should emphasize modeling concepts or policy implications that can be adapted to many problems within the application domain and/or more widely, and/or or demonstrate how general problem structures can enable novel techniques of simulation analysis or implementation to improve the size, complexity, or speed of the analysis. Empirical work should be sufficiently well-described that the results can be repeated up to sampling error, perhaps with the aid of an online companion for complicated models.

Associate Editors: Russell Barton, Peter Frazier, Peter Haas, Jeff Hong, and Raghu Pasupathy