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Eine Methode zur Unterstützung der disziplinübergreifenden Zusammenarbeit in der Produktentwicklung auf Grundlage einer integrierten Visualisierung konzeptioneller Modelle

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ISBN: 9783731505976 Year: Pages: XV, 204 p. DOI: 10.5445/KSP/1000060573 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:01:59
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Industrial product development requires close collaboration between experts of several disciplines. Misunderstandings and discussions are inevitable. An integrated visualization of discipline specific conceptual models can foster agreement between experts. This work introduces a three dimensional visualization for integrated conceptual models. Models are arranged in a common 3-D information space. Dependencies are visible and provide a means for interdisciplinary problem solving.

Industry 4.0 and Regional Transformations

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ISBN: 9780367178413 Year: Pages: 276 Language: English
Publisher: Taylor & Francis
Subject: Economics --- Business and Management --- Manufactures --- Geology --- Earth Sciences --- Science (General)
Added to DOAB on : 2020-05-04 10:28:16
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This volume brings together expert contributors to explore opportunities and challenges that Industry 4.0 is likely to pose for regions, firms and jobs in Europe. Drawing on theory and empirical cases, it considers emerging issues like servitization, new innovation models for local production systems, and the increase in reshoring.

New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes

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ISBN: 9783039282906 9783039282913 Year: Pages: 428 DOI: 10.3390/books978-3-03928-291-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Industrial Engineering
Added to DOAB on : 2020-04-07 23:07:09
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Modern factories are experiencing rapid digital transformation supported by emerging technologies, such as the Industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, AI, intelligent robotics, cyber-physical systems and digital twins, complemented by visual computing (including new forms of artificial vision with machine learning, novel HMI, simulation, and visualization). This is evident in the global trend of Industry 4.0. The impact of these technologies is clear in the context of high-performance manufacturing. Important improvements can be achieved in productivity, systems reliability, quality verification, etc. Manufacturing processes, based on advanced mechanical principles, are enhanced by big data analytics on industrial sensor data. In current machine tools and systems, complex sensors gather useful data, which is captured, stored, and processed with edge, fog, or cloud computing. These processes improve with digital monitoring, visual data analytics, AI, and computer vision to achieve a more productive and reliable smart factory. New value chains are also emerging from these technological changes. This book addresses these topics, including contributions deployed in production, as well as general aspects of Industry 4.0.

Keywords

cutting insert selection --- cutting parameter optimization --- artificial neural networks --- genetic algorithm --- connected enterprise --- smart manufacturing --- big data --- machine learning --- data reduction --- predictive analytics --- in-line dimensional inspection --- warm forming --- 3D mesh reconstruction --- optical system --- revolution workpiece --- defect detection --- polymer lithium-ion battery --- convolutional neural network --- deep learning --- blister defect --- flower pollination algorithm --- Industry 4.0 --- anomaly detection --- scheduling --- neural network --- skyline queries --- Cyber-Physical Systems (CPS) --- scalability test --- Internet of Things (IoT) --- INDUSTRY 4.0 --- economic recession --- research and development indicators --- maintenance expert --- competence --- decision support --- micro-armature --- defect detection --- convolutional neural networks --- computer vision --- capacity control --- job shop systems --- RMTs --- operator theory --- 4th industrial revolution --- industry 4.0 --- AHP --- QFD --- matching --- fibre of preserved Szechuan pickle --- contour detection --- dilated convolutions --- HED --- social network --- industry 4.0 --- industrial knowledge graph --- deep learning --- industrial big data --- intellectualization of industrial information --- digital manufacturing --- smart factory --- Industry 4.0 --- digital platforms --- automated surface inspection --- D-VGG16 --- bilinear model --- Grad-CAM --- classification --- localization --- elliptical paraboloid array --- self-calibration method --- vertex distance --- optical slope sensor --- geometric relationship --- relative angle --- fabric defect detection --- LGM --- FCM --- image smoothing --- Industry 4.0 --- marketing innovations --- innovative marketing tools --- impacts marketing innovations --- Industry 4.0 --- configure-to-order --- BIM --- construction equipment --- digital information flow --- lean assembly --- digital twins --- cyber-physical production systems --- depthwise separable convolution --- YOLOv3 --- feature pyramid --- aircraft structure crack detection --- industrial load management --- demand-side management --- demand-side response --- energy flexibility --- IT concept --- platform-based ecosystem --- control service --- smart service --- control as a service --- cloud-based control system --- automation system --- chatter --- train wheel --- smart system --- turning --- edge computing --- n/a

Modelling and Analysis of Sustainability Related Issues in New Era

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ISBN: 9783039210244 9783039210251 Year: Pages: 350 DOI: 10.3390/books978-3-03921-025-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2019-06-26 08:44:06
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The purpose of this Special Issue is to investigate topics related to sustainability issues in the new era, especially in Industry 4.0 or other new manufacturing environments. Under Industry 4.0, there have been great changes with respect to production processes, production planning and control, quality assurance, internal control, cost determination, and other management issues. Moreover, it is expected that Industry 4.0 can create positive sustainability impacts along the whole value chain. There are three pillars of sustainability, including environmental sustainability, economic sustainability, and social sustainability. This Special Issue collects 15 sustainability-related papers from various industries that use various methods or models, such as mathematical programming, activity-based costing (ABC), material flow cost accounting, fuel consumption model, artificial intelligence (AI)-based fusion model, multi-attribute decision model (MADM), and so on. These papers are related to carbon emissions, carbon tax, Industry 4.0, economic sustainability, corporate social responsibility (CSR), etc. The research objects come from China, Taiwan, Thailand, Oman, Cyprus, Germany, Austria, and Portugal. Although the research presented in this Special Issue is not exhaustive, this Special Issue provides abundant, significant research related to environmental, economic, and social sustainability. Nevertheless, there still are many research topics that require our attention to solve problems of sustainability.

Keywords

carbon tax policy --- return policy --- carbon reduction --- e-commerce platform --- carbon emissions --- cap & trade --- green production --- footwear industry --- activity-based costing (ABC) --- activity-based costing (ABC) --- industry 4.0 --- integrated mathematical programming --- product-mix decision --- theory of constraints (TOC) --- carbon tax --- small and medium enterprises --- OEE --- OECD --- manufacturing sustainability --- time study --- Industry 4.0 --- material handling systems --- agent-based control architecture --- Activity-Based Costing (ABC) --- Industry 4.0 --- tire industry --- carbon emission --- carbon tax --- mathematical programming --- sustainability --- sustainability performance --- corporate social responsibility (CSR) --- internal control --- multi-attribute decision model (MADM) --- decision making trial and evaluation laboratory (DEMATEL) --- DANP (DEMATEL based ANP) --- VIKOR --- fuel consumption --- sustainability --- active suspension --- PID controller --- white noise --- colored noise --- long- and short-term --- greenhouse gas --- LS-ARIMAXi-ECM model --- sustainability --- economic growth --- exogenous variables --- CO2 emissions --- family business --- succession plan --- corporate characteristics --- family capital --- niche inheritance --- multi-attribute decision model (MADM) --- social sustainability --- artificial intelligence --- corporate social responsibility --- decision making --- firm value --- Activity-Based Costing (ABC) --- Industry 4.0 --- aluminum-alloy wheel industry --- mathematical programming --- Activity-Based Standard Costing (ABSC) --- Manufacturing Execution System (MES) --- Activity-Based Costing (ABC) --- Enterprise Resource Planning (ERP) --- Industry 4.0 --- industrial internet of things --- digital transformation --- digital platforms --- qualitative-empirical study --- small and medium-sized enterprises --- sustainable development --- energy efficiency --- electrical appliances --- life cycle cost analysis (LCCA) --- multi-attribute value theory (MAVT) --- multi-objective optimization --- NSGAII --- sustainability --- ISO14051 --- material flow cost accounting --- n/a

Autonome Systeme und Arbeit

Authors: ---
Book Series: Einzelveröffentlichungen Sozialwissenschaften ISBN: 9783839443958 9783837643954 Year: Pages: 304 DOI: 10.14361/9783839443958 Language: German
Publisher: transcript Verlag
Subject: Sociology
Added to DOAB on : 2019-03-29 11:21:03
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Which new challenges, labor-political and ethical issues will the implementation of autonomous systems into the working world bring about? An interdisciplinary contribution to the debate.

Internet of Things and Sensors Networks in 5G Wireless Communications

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ISBN: 9783039281480 9783039281497 Year: Pages: 222 DOI: 10.3390/books978-3-03928-149-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-01-30 16:39:46
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The Internet of Things (IoT) has attracted much attention from society, industry and academia as a promising technology that can enhance day to day activities, and the creation of new business models, products and services, and serve as a broad source of research topics and ideas. A future digital society is envisioned, composed of numerous wireless connected sensors and devices. Driven by huge demand, the massive IoT (mIoT) or massive machine type communication (mMTC) has been identified as one of the three main communication scenarios for 5G. In addition to connectivity, computing and storage and data management are also long-standing issues for low-cost devices and sensors. The book is a collection of outstanding technical research and industrial papers covering new research results, with a wide range of features within the 5G-and-beyond framework. It provides a range of discussions of the major research challenges and achievements within this topic.

Smart Sustainable Manufacturing Systems

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ISBN: 9783039212019 9783039212026 Year: Pages: 158 DOI: 10.3390/books978-3-03921-202-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:15
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With the advent of disruptive digital technologies, companies are facing unprecedented challenges and opportunities. Advanced manufacturing systems are of paramount importance in making key enabling technologies and new products more competitive, affordable, and accessible, as well as for fostering their economic and social impact. The manufacturing industry also serves as an innovator for sustainability since automation coupled with advanced manufacturing technologies have helped manufacturing practices transition into the circular economy. To that end, this Special Issue of the journal Applied Sciences, devoted to the broad field of Smart Sustainable Manufacturing Systems, explores recent research into the concepts, methods, tools, and applications for smart sustainable manufacturing, in order to advance and promote the development of modern and intelligent manufacturing systems. In light of the above, this Special Issue is a collection of the latest research on relevant topics and addresses the current challenging issues associated with the introduction of smart sustainable manufacturing systems. Various topics have been addressed in this Special Issue, which focuses on the design of sustainable production systems and factories; industrial big data analytics and cyberphysical systems; intelligent maintenance approaches and technologies for increased operating life of production systems; zero-defect manufacturing strategies, tools and methods towards online production management; and connected smart factories.

Adopting Circular Economy Current Practices and Future Perspectives

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ISBN: 9783039283422 9783039283439 Year: Pages: 160 DOI: 10.3390/books978-3-03928-343-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-04-07 23:07:08
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The development of a closed-loop cycle is a necessary condition so as to develop a circular economy model as an alternative to the linear model, in order to maintain the value of products and materials for as long as possible. For this motive, the definition of the value must be demonstrated for both the environment and the economy. The presence of these analyses should be associated with the social dimension and the human component. A strong cooperation between social and technical profiles is a new challenge for all researchers. End of life of products attract a lot of attention, and the final output could be the production of technologies suitable for managing this waste.

Open-Source Electronics Platforms

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ISBN: 9783038979722 9783038979739 Year: Pages: 262 DOI: 10.3390/books978-3-03897-973-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Open-source electronics are becoming very popular, and are integrated with our daily educational and developmental activities. At present, the use open-source electronics for teaching science, technology, engineering, and mathematics (STEM) has become a global trend. Off-the-shelf embedded electronics such as Arduino- and Raspberry-compatible modules have been widely used for various applications, from do-it-yourself (DIY) to industrial projects. In addition to the growth of open-source software platforms, open-source electronics play an important role in narrowing the gap between prototyping and product development. Indeed, the technological and social impacts of open-source electronics in teaching, research, and innovation have been widely recognized.

Keywords

human-computer interface (HCI) --- electrooculogram (EOG) --- electromyogram (EMG) --- modified sliding window algorithm --- piecewise linear approximation (PLA) --- support vector regression --- eye tracking --- blockchain --- ontology --- context --- cyber-physical systems --- robotics --- interaction --- coalition --- individual management of livestock --- momentum data sensing --- remote sensing platform --- sensor networks --- technology convergence --- industry 4.0 --- distributed measurement systems --- automation networks --- node-RED --- cloud computing --- OPC UA --- hardware trojan taxonomy --- thermal imaging --- side channel analysis --- infrared --- FPGA --- Internet of Things --- wireless sensor networks --- Cloud of Things --- virtual sensor --- sensor detection --- smart cities --- Internet of Things --- Raspberry Pi --- BeagleBoard --- Arduino --- Internet of Things --- open hardware --- smart farming --- teaching robotics --- science teaching --- STEM --- robotic tool --- Python --- Raspberry Pi --- PiCamera --- vision system --- service learning --- robotics --- open platform --- automated vehicle --- EPICS --- open-source platform --- visual algorithms --- digital signal controllers --- embedded systems education --- dsPIC --- Java --- smart converter --- maximum power point tracking (MPPT) --- photovoltaic (PV) system --- Field Programmable Gate Array (FPGA) --- Digital Signal Processor (DSP) --- interleaved --- DC/DC converter --- distributed energy resource --- n/a

Middleware Solutions for Wireless Internet of Things

Authors: --- --- ---
ISBN: 9783039210367 9783039210374 Year: Pages: 262 DOI: 10.3390/books978-3-03921-037-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-08-28 11:21:27
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The proliferation of powerful but cheap devices, together with the availability of a plethora of wireless technologies, has pushed for the spread of the Wireless Internet of Things (WIoT), which is typically much more heterogeneous, dynamic, and general-purpose if compared with the traditional IoT. The WIoT is characterized by the dynamic interaction of traditional infrastructure-side devices, e.g., sensors and actuators, provided by municipalities in Smart City infrastructures, and other portable and more opportunistic ones, such as mobile smartphones, opportunistically integrated to dynamically extend and enhance the WIoT environment. A key enabler of this vision is the advancement of software and middleware technologies in various mobile-related sectors, ranging from the effective synergic management of wireless communications to mobility/adaptivity support in operating systems and differentiated integration and management of devices with heterogeneous capabilities in middleware, from horizontal support to crowdsourcing in different application domains to dynamic offloading to cloud resources, only to mention a few. The book presents state-of-the-art contributions in the articulated WIoT area by providing novel insights about the development and adoption of middleware solutions to enable the WIoT vision in a wide spectrum of heterogeneous scenarios, ranging from industrial environments to educational devices. The presented solutions provide readers with differentiated point of views, by demonstrating how the WIoT vision can be applied to several aspects of our daily life in a pervasive manner.

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