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IIE Transactions articles from July 2007
This journal publishes original research in the industrial engineering industry, focusing on design and manufacturing, operations and engineering, quality and reliability engineering and scheduling and logistics.
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IIE Transactions archives from July 2007
A finite-memory algorithm for estimating the variance of the sample mean.
July 1, 2007... 1. Introduction
In stochastic simulation experiments, output data [Y.sub.1], [Y.sub.2],... are collected to infer various measures of the performance of the system. Often the measure is a population mean E(Y) = [theta]. Assuming...
A five-class variance swapping rule for simulation experiments: a correlated-blocks design.
July 1, 2007... 1. Introduction
A simulation experiment is frequently performed to estimate a metamodel, which is a functional relationship between the mean response of the simulation model and a set of simulation inputs. The estimated metamodel is then...
Selecting the best system when systems are revealed sequentially.
July 1, 2007... 1. Introduction
Ranking-and-Selection (R & S) procedures have been proposed to select the simulated system with the largest or smallest mean performance from among a finite number of alternative systems (see Bechhofer et al. (1995) for a...
An evaluation of worker cross training and flexible workdays in job shops.
July 1, 2007... 1. Introduction
The importance of flexibility in capacity levels is increasing. The production pressure created by shortened product life cycles and global competition is forcing manufacturing managers to seek ways to reduce inventory and...
Bi-objective facility expansion and relayout considering monuments.
July 1, 2007... 1. Introduction
Most of the literature on facility layout focuses on greenfield design, which is the design of a new facility without the influence or constraint of an existing facility. In practice, however, the Facility Relayout Problem...
Application of semi-definite programming to the design of multi-response experiments.
July 1, 2007... 1. Introduction
In many practical situations, it may be necessary to measure more than one response for each setting of the control variables. Such experiments are called multi-response experiments. The responses are often correlated and...