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- Demet C. Wood, Bruce W. Schmeiser
- Winter Simulation Conference
- 1994

Overlapping batch statistics estimate the variance of point estimators using overlapping batches (Schmeiser, Avramidis and Hashem 1990). In this paper we study sufficient conditions for the mean-squared-error (mse) consistency of overlapping batch variances (OBV). We show that both the bias and the variance of OBV go to zero as the sample size increases… (More)

- Demet C. Wood, Bruce W. Schmeiser
- Winter Simulation Conference
- 1995

We show that although overlapping batch quantiles (OBQ) is asymptotically very similar to overlapping batch means, its performance for finite sample sizes is not. We show that the bias, the variance and the mean-squared-error of OBQ are not smooth functions of the batch size but rather cyclic. The cyclic behavior of OBQ depends on the marginal distribution,… (More)

- Onur M. Ülgen, John E. Shore, Gene Coffman, David P. Sly, Matthew W. Rohrer, Demet C. Wood
- Winter Simulation Conference
- 1999

The objective of this panel session is to describe how and when manufacturing simulation practitioners should add to the value of projects by interfacing simulation analyses with other analyses such as optimization, layout/material flow, scheduling, robotic, and queuing. The panelists will discuss how each analytical tool adds value to the discreteevent… (More)

In simulating material flow systems, due to the large number of entities and inventory related parameters involved, computer memory utilization, the simulation run speed and managing input and output are the major issues. In this paper, we introduce an innovative approach to resolve these issues. We devise a simulation model that utilizes variable arrays to… (More)

This paper focuses on the steps taken to minimize human error in simulation modeling in General Motors. While errors are costly and undesirable in any field, they are especially harmful in simulation which has been struggling to gain acceptance in the business world for a long time. The solution discussed in this paper can be summarized as “enter the data… (More)

- Demet C. Wood, Echo A. Harger
- Winter Simulation Conference
- 2003

This paper focuses on the steps taken to minimize human error in simulation modeling in General Motors. While errors are costly and undesirable in any field, they are especially harmful in simulation which has been struggling to gain acceptance in the business world for a long time. The solution discussed in this paper can be summarized as "enter the data… (More)

- Onur M. Ülgen, Scott J. Bury, Roberto Lu, Edward J. Williams, Demet C. Wood
- Proceedings of the 2010 Winter Simulation…
- 2010

A panel of simulation managers from manufacturing companies discuss the following six topics: (1) How are managers responsible for manufacturing best persuaded to try simulation? (2) How can capturing the benefits of simulation best be made a regular process? What are the roles of model databases and reuse, input databases, standardization, change… (More)

- Demet C. Wood
- 2002

Motivated by steady-state simulation experiments, we consider the problem of estimating the marginal variance of a stationary time series. The usual estimator, the sample variance is biased for autocorrelated data. To reduce bias, other authors have suggested interlaced estimators. These estimators which like the sample variance are sums of squares are a… (More)

- Onur M. Ülgen, John Shore, Gene Coffman, David Sly, Matt Rohrer, Demet Wood
- WSC '99
- 1999

The objective of this panel session is to describe how and when manufacturing simulation practitioners should add to the value of projects by interfacing simulation analyses with other analyses such as optimization, layout/material flow, scheduling, robotic, and queuing. The panelists will discuss how each analytical tool adds value to the discreteevent… (More)

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