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Practical manual of quality function deployment
This book introduces into the practical application of Quality Function Deployment (QFD) beyond the famous House of Quality Matrix by presenting a fully developed example of a clear and comprehensive QFD framework. The QFD workflow is described step by step, encompassing strategic planning, customer surveys, product and service characteristics, mechanisms, parts and cost deployment, technologies, process phases and faults analysis. The model, as presented with practical suggestions, can be used in firms with low resources and/or need for speed. In addition, a chapter is dedicated to the most common âءءfuzzyâءء algorithms, explained for professionals and the book closes by describing in detail some QFD case studies. This book will be of interest to all who wish to use QFD to respond to and satisfy customer requirements effectively.
Book
0413 Neuroticism interacts with stressful experiences during deployment to predict post-deployment insomnia
Introduction Negative affect traits, such as neuroticism, have been shown to be associated with greater risk for insomnia. These trait-based factors are theorized to increase stress reactivity, which can be a predisposing factor to insomnia. Military personnel represent a unique population that are subject to stressors as a nature of their occupations and may therefore be particularly vulnerable to the onset and persistence of insomnia. The present study examined prospective associations among trait-based emotional reactivity and neuroticism, exposure to stressful experiences during a combat deployment, and insomnia symptoms at 9-months post-deployment. Methods Data were obtained from the Army Study to Assess Risk and Resilience in Servicemembers Pre-Post Deployment Survey (PPDS). Soldiers included in these analyses (n = 1448) completed surveys prior to deployment to Afghanistan, immediately after deployment, and 9-month post-deployment. The survey included measures of insomnia symptoms, deployment-related stressors and trait-based personality measures. Logistic regression was used to examine the relationships among emotional reactivity, neuroticism and deployment stress with post-deployment insomnia. Results Higher trait-based neuroticism and greater exposure to deployment-related stressors were independently associated with greater risk of probable insomnia at 9-months post-deployment, but not trait-based emotional reactivity . However, there were significant interaction effects, such that among those with greater range of stressful events, neuroticism was associated with higher risk of post-deployment insomnia, while emotional reactivity was associated with lower risk. Conclusion A trait disposition for negative affect (i.e., neuroticism) may predispose individuals to chronic insomnia in the face of acute stressors . While neuroticism includes negative emotional reactivity, it also encompasses other characteristics (e.g., negative self-perception) that may be a stronger predictor of persistent insomnia symptoms. Service members with higher baseline neuroticism may benefit from pre-deployment skills trainings to better cope in the face of stressors and prevent/mitigate long-term problems. Support (if any) This study is based on public use data from Army STARRS (Inter-university Consortium for Political and Social Research, University of Michigan-http://doi.org/10.3886/ICPSR35197-v1), funded by U.S. NIMH-U01MH087981.
Journal Article
Enabling the Global Response Force : access strategies for the 82nd Airborne Division
\"The Global Response Force (GRF) is built for rapid response to unforeseen or, more specifically, unplanned operations. Selected Army airborne forces provide a large portion of the GRF and are dependent on joint concepts for deployment and access. This study illustrates a method for determining the best access strategies given constraints in aircraft, intermediate staging bases, operational capabilities, and other factors. The study applies this method to each geographic combatant command and develops specific, tailored strategies for each. The access strategies are built from multiple analytic techniques: historical aircraft data and platform specifications to determine capabilities and limitations of the air fleet; several airfield databases, site reports, and expert judgments to determine probable intermediate staging base locations and their likely capabilities; multiple deployment concepts for access to minimize operational risks; and detailed geographic and operational analysis to determine global coverage and reach. In the end, we were able to deduce a preferred strategy for each of the combatant commands. Global access for the GRF is provided partially through the use of well-established staging bases but will necessarily rely on austere basing and complex deployment concepts for particular locations in multiple combatant commands. The study concludes with several recommendations to close those risks, which span the services, combatant commands, and joint staff\"--Back cover.
BOOK
Integrating sustainability and remanufacturing strategies by remanufacturing quality function deployment (RQFD)
The objective of this paper is to ensure remanufacturing by considering the possible design, material and process changes. A novel remanufacturing quality function deployment (RQFD) was developed to bring out the possible changes to the existing product. To accomplish the above objective, RQFD phase I (voice of customer to engineering metrics) and RQFD phase II (engineering metrics to components of case product) were developed. Based on the results, the improvements options in design, process and materials were identified. The sustainability performance for the original and modified design was identified to understand the environmental benefits achieved through the proposed method. The proposed method has been applied to brake caliper components. The practical applications of the research are expected to help the manufacturers of brake calipers to minimize negative impacts on the environment, energy conservation and natural resources and are safe for stakeholders and are economically sound.
Journal Article
Roadside Unit Deployment in Internet of Vehicles Systems: A Survey
In recent years, the network technology known as Internet of Vehicles (IoV) has been developed to improve road safety and vehicle security, with the goal of servicing the digital demands of car drivers and passengers. However, the highly dynamical network topology that characterizes these networks, and which often leads to discontinuous transmissions, is one of the most significant challenges of IoV. To address this issue, IoV infrastructure-based components known as roadside units (RSU) are designed to play a critical role by providing continuous transmission coverage and permanent connectivity. However, the main challenges that arise when deploying RSUs are balancing IoVs’ performances and total cost so that optimal vehicle service coverage is provided with respect to some target Quality of Service (QoS) such as: service coverage, throughput, low latency, or energy consumption. This paper provides an in-depth survey of RSU deployment in IoV networks, discussing recent research trends in this field, and summarizing of a number of previous papers on the subject. Furthermore, we highlight that two classes of RSU deployment can be found in the literature—static and dynamic—the latter being based on vehicle mobility. A comparison between the existing RSU deployment schemes proposed in existing literature, as well as the various networking metrics, are presented and discussed. Our comparative study confirms that the performance of the different RSU placement solutions heavily depends on several factors such as road shape, particularity of road segments (like accident-prone ones), wireless access methods, mobility model, and vehicles’ distribution over time and space. Besides that, we review the most important RSU placement approaches, highlighting their strengths and limitations. Finally, this survey concludes by presenting some future research directions in this domain.
Journal Article
This is how Trump can deploy the National Guard
Trump has several options when considering when to deploy uniformed military into U.S. cities.
Streaming Video
A Comprehensive analysis of Deployment Optimization Methods for CNN-Based Applications on Edge Devices
The development of the promising Artificial Intelligence of The things (AIoT) technology increases the demand for implementing Convolutional Neural Networks (CNN) algorithms on the edge devices. However, implementing huge CNN-based applications on the resource-constrained edge devices is considered challenging. Therefore, several CNN optimization methods are integrated into the deployment tools of the edge devices. Since this field evolves rapidly, relevant tools adopt non-uniform deployment optimization flows, and the optimization details are poorly explained. This fact hinders developers from further analyzing the bottlenecks of the CNN-based applications on the edge devices. Hence, the paper comprehensively analyzes the deployment optimization methods for the CNN-based applications on the edge devices. Optimization methods are classified into the Hardware-Agnostic and Hardware-Specific methods. Their ideas and processing details are analyzed, and some suggestions are proposed according to the deployment experiments with different architecture models.
Journal Article