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Multiple-comparison procedures are useful for comparing the performance of competing systems via simulation. In this paper we extend a particular multiple-comparison procedure, multiple comparisons with the best, to steady-state simulation by using an autoregressive-output-analysis method.

A classical problem of stochastic simulation is how to estimate the variance of the sample mean of dependent but stationary outputs. Many variance estimators, such as the batch means estimators and spectral estimators, can be classified as quadratic-form estimators.Necessary and sufficient conditions on the quadratic-form coefficients such that the corresponding variance estimator has good performance have been proposed. But no one has utilized these conditions to pursue optimal quadratic-form coefficients to form an optimal variance estimator. In this paper, we seek an optimal (minimum variance unbiased) variance estimator by searching for the optimal quadratic-form coefficients.

With the rapid development in management and information technologies, consumers require for products not only on-time delivery, multiple functions, high quality, but also traceability. Manufacturers are required to pinpoint and recall defective products fast and in time, assuring consumers safety and preventing any potential risks. The purpose of this paper is to develop a product tracing module (TRC) for enterprise resource planning system (ERP). We illustrate the concepts of product tracing, including upstream and down-stream tracings for raw materials or components, and a preventive tracing for suppliers or outsourcers. The workflow integration of ERP and TRC is discussed. We also present a digital camera example for the operations of TRC.