Abstract:This paper describes a simulator for a large outdoor operation called a signal quality survey. Design and implementation of the simulator follows an object oriented approach with a primary focus of modeling operations cycles. The simulator is implemented in Visual C++/CSIM17. Excel acts as the primary user interface. A Microsoft Foundations Classes Single Document Interface application acts as a secondary user interface for simulation animation.We discuss the benefits of using discrete event simulation for thi… Show more
“…We use the methodology developed in this paper to analyze the simulation model of the project described in Morrice et al (1997). The simulation models a large outdoor operation called a signal quality survey.…”
Section: Examplementioning
confidence: 99%
“…In recent work, Morrice et al (1997) present a simulation model of a project that contains multiple input parameters and multiple performance measures. Morrice et al (1998Morrice et al ( , 1999 develop a procedure that combines simulation, statistical ranking and selection (R&S), and Multiple Attribute Utility (MAU) theory to select the best project configuration over K (>1) possible configurations.…”
Section: Introductionmentioning
confidence: 99%
“…Section 2 describes the project example from Morrice et al (1997) that will be used throughout the paper. Section 3 describes the methodology developed in Morrice et al (1998Morrice et al ( , 1999.…”
In this paper, we conduct sensitivity analysis on a ranking and selection procedure for making multiple comparisons of systems that have multiple performance measures. The procedure combines multiple attribute utility theory with ranking and selection to select the best configuration from a set of K configurations using the indifference zone approach. Specifically, we consider sensitivity analysis on the weights generated by the multiple attribute utility assessment procedure. We demonstrate our analysis on a simulation model of a large project that has six performance measures.
“…We use the methodology developed in this paper to analyze the simulation model of the project described in Morrice et al (1997). The simulation models a large outdoor operation called a signal quality survey.…”
Section: Examplementioning
confidence: 99%
“…In recent work, Morrice et al (1997) present a simulation model of a project that contains multiple input parameters and multiple performance measures. Morrice et al (1998Morrice et al ( , 1999 develop a procedure that combines simulation, statistical ranking and selection (R&S), and Multiple Attribute Utility (MAU) theory to select the best project configuration over K (>1) possible configurations.…”
Section: Introductionmentioning
confidence: 99%
“…Section 2 describes the project example from Morrice et al (1997) that will be used throughout the paper. Section 3 describes the methodology developed in Morrice et al (1998Morrice et al ( , 1999.…”
In this paper, we conduct sensitivity analysis on a ranking and selection procedure for making multiple comparisons of systems that have multiple performance measures. The procedure combines multiple attribute utility theory with ranking and selection to select the best configuration from a set of K configurations using the indifference zone approach. Specifically, we consider sensitivity analysis on the weights generated by the multiple attribute utility assessment procedure. We demonstrate our analysis on a simulation model of a large project that has six performance measures.
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