Papakostas, Nikolaos <br/><br/>
Novel Industry 4.0 Technologies and Applications 

 - Basel, Switzerland  MDPI - Multidisciplinary Digital Publishing Institute  2020 
 - 1 electronic resource (270 p.) 
<br/><br/> Open Access 
<br/><br/> The Industry 4.0 paradigm has led to the creation of new opportunities for taking advantage of a set of diverse technologies in the manufacturing domain. This book touches on a series of advanced technologies and research fields, including Internet of Things, Augmented and Virtual Reality, Machine Learning, Advanced Robotics, Additive Manufacturing, System and Process Simulation, Computer-Aided Design/Engineering/Manufacturing/Process Planning Systems as well as Product Lifecycle Management Platforms. The topics covered span a series of diverse areas related to a) product design and development, b) manufacturing systems and operations, c) process engineering, and d) Industry 4.0 technologies review and realization. 
<br/><br/><br/>Creative Commons 
<br/><br/><br/>English 
<br/><br/><label>ISBN: </label>books978-3-03943-584-5 9783039435838 9783039435845 
<br/><br/><label>Standard No.: </label>10.3390/books978-3-03943-584-5  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>History of engineering & technology
<br/><br/><label>Subjects--Index Terms: </label>computer-aided tolerance processing features degradation skin model shape statistical tolerance analysis tolerance allocation collaborative learning engineering graphics PLM 3D modeling engineering education Industry 4.0 index smart intensity of technology manufacturing implementation statistical process control pattern recognition long short-term memory feature learning control chart histogram digital hydraulic technology digital hydraulic components digital hydraulic system shearer virtual reality path planning automatic height-adjusting Unity3D technology Rapidly-exploring Random Tree (RRT) manipulator motion planning obstacle avoidance complex environment exoskeletons planning methods ergonomics time management augmented reality maintenance real-time digital twin decision support system factor analysis KPI quantitative analysis root-cause analysis life cycle knowledge- and technology-intensive industry (KTI) VUCA key enabling technology (KET) Operator 4.0 cyber-physical system (CPS) DfHFinI4.0 PERA 4.0 process planning scheduling design for additive manufacturing multiple criteria SMEs technologies cluster analysis maturity model n/a