Exploring the reusability of discrete-event simulation models: A case study of project challenges and issues of feasibility

Abstract

Simulation model reuse has the potential to consume vast amounts of time, resources & money, and, result in poorly-tuned instruments completely inadequate for their intended applications. To avoid major pitfalls, it is important to conduct analyses of feasibility and alternative solutions to simulation model reuse and, optimally, involve a team of experts possessing broad skill sets. Consequent investigative activities encompass the following: Gaining familiarity with model parameters and construction; Identifying difficulties in the validation of development methods and model inputs; and, Justifying the time and cost of modifying existing models to new applications. Competencies to address these challenges include the application of project management techniques; the comprehension of the intricacies inherent in simulation modeling, programming and scripting language; the ability to transform data and design appropriate statistical experiments; and when appropriate, the capacity to conduct literature research and communicate findings in the form of written technical reports and in-person presentations. Defining the elements of these wide-ranging proficiencies forms the basis of this paper which chronicles the possible reuse of four discrete-event simulation models designed to compare internal patient queueing methods in a Veterans Administration Health System specialty cardiac clinic. Replete with generalizable examples, this six month case study illustrates a number of challenges, issues of feasibility, and practicalities involved in exploring reusability of existing simulation models.