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Staggered-Level Designs for Experiments With More Than One Hard-to-Change Factor
Technometrics, 2012 In many industrial experiments, some of the factors are not independently set for each run. This is due to time and/or cost constraints and to the hard-to-change nature of the levels of these factors. Most of the literature restricts attention to split-plot designs in which all the hard-to-change factors are independently reset at the same points in ...
Arnouts, Heidi, Goos, Peter
semanticscholar +9 more sources
A blocked staggered-level design for an experiment with two hard-to-change factors
Journal of Quality TechnologyAbstract: Staggered-level designs have been introduced in the literature as cost-efficient and statistically efficient alternatives to split-plot and split-split-plot designs for experiments with multiple hard-to-change factors. In this article, we present an application of a staggered-level design to a staple fiber cutting process at Eastman.
Peter Goos, Katherine Brickey, Ying Chen
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Minimal cost multifactor experiments for agricultural research involving hard-to-change factors
The Indian Journal of Agricultural Sciences, 2021 Multifactor experiments are very common in agricultural research. Randomizing run orders in multifactor experiments often witness in large number of factorwise level changes which will increase the cost and time of the experiments. Minimal cost multifactor experiments are such experiments where the cost of the experiment is minimum which can be ...
Chanda, Bijoy +8 more
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Modifying a Central Composite Design to Model the Process Mean and Variance When there are Hard-to-Change Factors [PDF]
Journal of the Royal Statistical Society Series C: Applied Statistics, 2006 Summary An important question within industrial statistics is how to find operating conditions that achieve some goal for the mean of a characteristic of interest while simultaneously minimizing the characteristic’s process variance. Often, people refer to this kind of situation as the robust parameter design problem.
Kowalski, Scott M. +3 more
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The influence of denture adhesives on the microhardness, color, and roughness of rigid reliners, before and after thermocycling [PDF]
Biomaterial Investigations in DentistryThe stability and functionality of complete dentures depend on various clinical and material factors, such as retention, adaptation, color change, microhardness, and surface roughness.
Bárbara Luise Medeiros dos Santos +5 more
doaj +2 more sources
Theoretical Roughness Modeling of Hard Turned Surfaces Considering Tool Wear
Machines, 2022 Surface roughness is an important factor in metal cutting, and usually different surface roughness characteristics are used to control the quality of the machined surfaces.
Csaba Felho, Gyula Varga
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Chewing loads alter TMJ metabolism and Zn homeostasis via PIEZO1/ TRPV4 [PDF]
Journal of Biological EngineeringThe biomechanical effects of bite forces on a temporomandibular joint within the craniofacial masticatory complex remain unclear. Herein, we will discuss the effect of recovering a hypofunctioning temporomandibular joint using normal bite forces ...
Yongmei Wang +6 more
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Sensors, 2021 Deep squat, bench press and hard pull are important ways for people to improve their strength. The use of sensors to measure force is rare. Measuring strength with sensors is extremely valuable for people to master the intensity of exercise to ...
Bo Pang +7 more
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Mathematics, 2022 The remote authentication scheme is a cryptographic protocol incorporated by user–server applications to prevent unauthorized access and security attacks.
Fairuz Shohaimay, Eddie Shahril Ismail
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