Simulation-based estimation of proportions
Article Abstract:
A method is presented for controlling the duration of a simulation run when a number of proportions are simultaneously estimated so that the estimated proportions meet predetermined precision targets. The properties of the proposed method are dependent on the use of the arcsin transform, the Bonferroni inequality and the method for computing the variance. The arcsin transform is employed to develop confidence intervals with the required width, while the Bonferroni inequality is used non-conventionally to create a rectangular confidence area for the estimated proportions. Existing approaches for estimating the variance of a single mean are also applied. The results of empirical testing suggest that the proposed method generates estimates that meet predetermined precision requirements when the variances of the proportions are estimated using the spectral approach.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1995
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Medical resident work schedules: design and evaluation by simulation modeling
Article Abstract:
Simulation modeling was used to evaluate the outcomes of alternative designs for medical resident work schedules. Physician training and patient care have been affected by hospital management changes. The modeling task was made difficult by mobile resources such as physicians with complex job descriptions and patients with time-varying arrival processes. A flexible and powerful simulation language was used for modeling. The synthesis of data from various sources into distributions that modeled input processes was facilitated using a distribution fitting package. The resulting simulation model allowed the accurate prediction of the effects on the sleep and activity profile of interns whose schedules were modified. The model is also applicable for studying consequences of many kinds of variation within the system.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1996
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A branch and bound procedure for the resource constrained project scheduling problem with discounted cash flows
Article Abstract:
A financially motivated and more realistic model of the resource constrained project scheduling problem is considered. In this problem, project activities are associated with cash flows and the goal is to develop a schedule of activities that maximizes the value of cash flows. A depth-first branch and bound algorithm is developed to solve this resource constrained project scheduling problem with discounted cash flows (RCPSPDC). This solution relies on the widely accepted fact that additional precedence relations between certain project activities can eliminate potential resource violations. The algorithm is compared with the integer programming algorithm introduced by Yang et al. (1992), and is found to solve the RCPSPDC optimally.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1996
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