Importance of verifying queue model assumptions before planning with simulation software

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" This paper attempted to build a practical queue model to plan cost-benefits and verify simulation software assumptions in a refinery. This was in answer to the case study stakeholders and in the literature. In the literature Worthington (2009) noted the need for practical models especially for businesses that lack know-how or funds to hire scientists to concentrate on developing, testing, rationalizing and implementing mathematical models for an optimal solution. The managers and operations analysts in the case study expressed the same desire. This is in line with other literature that encouraged a practical understanding and application of operations research theories (Mercer, 1977; Sharp and Dando, 1979). Most importantly, the case confirmed that the underlying queue distribution assumptions (used in any model or software program) must be verified with data to avoid costly planning errors. Validation testing was developed here for the front end of operations research, such that small-to-large businesses could continue to use commercial or programmed software when assumptions are verified." (p. 502)

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