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What is Design of Experiments (DOE)

Chapter 15
Handbook of Research on Military, Aeronautical, and Maritime Logistics and Operations
A technique to optimize a system based on the impact of levels of the main factors with influence on response variable.
Published in Chapter:
Emergency Department Logistic Optimization Using Design of Experiments: From Triage to High Quality of Service
Jose Antonio Vazquez-Ibarra (Universidad Politecnica de Aguascalientes, Mexico), Rodolfo Rafael Medina-Ramirez (Universidad Politecnica de Aguascalientes, Mexico), and Irma Jimenez-Saucedo (Universidad Politecnica de Aguascalientes, Mexico)
Copyright: © 2016 |Pages: 16
DOI: 10.4018/978-1-4666-9779-9.ch015
Abstract
Public healthcare services face a growing demand and Emergency department is the main entrance to these services. Waiting times at Emergency departments are increasing at risky levels, causing that people die in wait rooms due to a lack of staff to serve timely every patient. Present chapter describes one research project conducted in a mexican public hospital which was in the process of adopting a triage systems in order to reach the goal of a maximum wait time in department. Design of experiments is the tool proposed to analyze waiting time factors and define the best levels to reduce the response variable value.
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Chapter 5
Mathematical Modeling of Microbial Bioremediation: A Key Step in Process Scale-Up
A systematic and efficient statistical technique, that based on planning, conducting, analysing and interpreting of controlled tests, the relationship between several input and output variables is studied.
Published in Chapter: Mathematical Modeling of Microbial Bioremediation: A Key Step in Process Scale-Up; From: Biosorption Processes for Heavy Metal Removal
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Chapter 6
Experimental Error Measurement in Monte Carlo Simulation
refers to the process of planning the experiment so that appropriate data that can be analysed by statistical methods will be collected, resulting in valid and objective conclusions (Montgomery, 2005). Factorial Experiment: is an experimental strategy in which factors are varied together, instead of one at a time (Montgomery, 2005).
Published in Chapter: Experimental Error Measurement in Monte Carlo Simulation; From: Handbook of Research on Discrete Event Simulation Environments: Technologies and Applications
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Chapter 22
Metamodel-Based Optimum Design Examples of Structures
It is a process to gather the data or knowledge obtained from planned experiments and analyze the data or knowledge. It is an efficient method for planning experiments so that the data obtained can be analyzed to draw valid conclusions. Sometimes, the meaning of DOE is confined to sampling method in the metamodel-based optimization.
Published in Chapter: Metamodel-Based Optimum Design Examples of Structures; From: Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications
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