Answers to Odd Problems

  • Theodore T. Allen

Solutions:  Chapter 1

  1. 1.

    Input analysis is the process of model formulation, collecting data, and fitting distributions which results in sufficient information to construct a credible simulation model.

  2. 3.

    Output analysis is the use of acceptable simulation or calculated models to generate statistically sound decision support, e.g., using simultaneous intervals or t-testing of outputs.

  3. 5.
    The goal is to develop accurate decision-support information predicting how staffing decisions (factors include the number of staff or each type) would likely affect the expected waiting times of patients (key response) in the med/surg. unit as patient demand continues to increase. The “in scope” area is indicated by the oval in the flowchart below, showing the focus on med/surg. Many details about upstream and downstream units will be simplified or ignored (Fig.  13.1).


Service Time Entity Type Markov Chain Model Sample Standard Deviation Monte Carlo Error 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Industrial and Systems EngineeringThe Ohio State UniversityColumbusUSA

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