Staffing Standards for Aviation Safety Inspectors (2007) / Chapter Skim
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Appendix A Modeling Methods
Appendix A Modeling Methods
Pages 107-113
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From page 107... ...
In this case, the system to which we refer is the FAA regulatory and oversight system that employs ASIs to ensure aviation safety. System design includes all of the factors that drive staffing demand as well as the supply and work capacity of ASI inspectors.
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From page 108... ...
108 APPENDIX A sume that one wants to determine through the use of process models how the two are interrelated, so that reasonable inferences can be drawn regarding the relationship between staffing system design and staffing system performance. The specific approach we use to illustrate process modeling is known as task network modeling.
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From page 109... ...
109 permission. procedure.
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From page 110... ...
110 APPENDIX A number, location, and mix of carriers, aircraft, and other elements that generate demand for ASI services) as well as a changing supply of ASIs (e.g., changing the number, type, and location of ASI inspectors in the part of the ASI system being modeled)
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From page 111... ...
APPENDIX A 111 Methods used in estimating relationships in the model include ordinary least squares regression, nonlinear least squares regression, and maximum likelihood methods. The relationship in its most general form is given by: y = f(X1,X2,...Xn)
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From page 112... ...
112 APPENDIX A Parameter Estimation Regardless of the type of model -- process simulation, statistical model, or another type of model -- values must be obtained for the key parameters of the model. These parameters provide the relationship between input variables or factors and intermediate or final output.
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From page 113... ...
APPENDIX A 113 relationships between staffing and workload or intermediate steps in the process. While expert judgment can be useful, it must ultimately be validated by the accuracy of the predictions that are made with the model using the judgment-based parameters.
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