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This Open Access book discusses an extension to low-coherence interferometry by dispersion-encoding. The approach is theoretically designed and implemented for applications such as surface profilometry, polymeric cross-linking estimation and the determination of thin-film layer thicknesses. During a characterization, it was shown that an axial measurement range of 79.91 µm with an axial resolution of 0.1 nm is achievable. Simultaneously, profiles of up to 1.5 mm in length were obtained in a scan-free manner. This marked a significant improvement in relation to the state-of-the-art in terms of dynamic range. Also, the axial and lateral measurement range were decoupled partially while functional parameters such as surface roughness were estimated. The characterization of the degree of polymeric cross-linking was performed as a function of the refractive index. It was acquired in a spatially-resolved manner with a resolution of 3.36 x 10-5. This was achieved by the development of a novel mathematical analysis approach.

Optical physics --- Mensuration & systems of measurement --- surface metrology --- profilometry --- interferometry --- low-coherence interferometry --- semiconductor manufacturing --- optical metrology --- Open Access

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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.

n/a --- sensitivity analysis --- customized demand --- dynamic supply chain design --- additive manufacturing --- sensor function --- deteriorating systems --- big data --- connected smart factories --- operations management --- kernel density estimation --- development --- efficiency --- hybrid laminate --- managerial commitment --- productivity benefits --- particle map --- pace --- car-sharing --- particle defect management --- case study --- quality --- semiconductor manufacturing process --- open innovation --- circular economy --- remanufacturing --- sustainability evaluation --- multi-usable cloud service platform --- knowledge-based engineering --- sustainable manufacturing --- Dempster–Shafer evidence theory --- Transport Sustainability Index --- Industry 4.0 --- knowledge management --- collective intelligence --- analytic hierarchy process --- TPM --- flexibility --- manufacturing process innovation --- data collection and analytics --- smart factory --- intelligent machining --- computer-aided innovation --- implementation --- improvement --- piezoceramic compound --- sheet metal forming --- production planning --- impact detection --- maintenance --- Dempster-Shafer evidence theory

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This book reports recent advances on Process Monitoring (PM) to cope with the many challenges raised by the new production systems, sensors and “extreme data” conditions that emerged with Industry 4.0. Concepts such as digital-twins and deep learning are brought to the PM arena, pushing forward the capabilities of existing methodologies to handle more complex scenarios. The evolution of classical paradigms such as Latent Variable modeling, Six Sigma and FMEA are also covered. Applications span a wide range of domains such as microelectronics, semiconductors, chemicals, materials, agriculture, as well as the monitoring of rotating equipment, combustion systems and membrane separation processes.

Technology: general issues --- spatial-temporal data --- pasting process --- process image --- convolutional neural network --- Industry 4.0 --- auto machine learning --- failure mode effects analysis --- risk priority number --- rolling bearing --- condition monitoring --- classification --- OPTICS --- statistical process control --- control chart pattern --- disruptions --- disruption management --- fault diagnosis --- construction industry --- plaster production --- neural networks --- decision support systems --- expert systems --- failure mode and effects analysis (FMEA) --- discriminant analysis --- non-intrusive load monitoring --- load identification --- membrane --- data reconciliation --- real-time --- online --- monitoring --- Six Sigma --- multivariate data analysis --- latent variables models --- PCA --- PLS --- high-dimensional data --- statistical process monitoring --- artificial generation of variability --- data augmentation --- quality prediction --- continuous casting --- multiscale --- time series classification --- imbalanced data --- combustion --- optical sensors --- spectroscopy measurements --- signal detection --- digital processing --- principal component analysis --- curve resolution --- data mining --- semiconductor manufacturing --- quality control --- yield improvement --- fault detection --- process control --- multi-phase residual recursive model --- multi-mode model --- process monitoring --- n/a

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Although the design and management of manufacturing systems have been explored in the literature for many years now, they still remain topical problems in the current scientific research. The changing market trends, globalization, the constant pressure to reduce production costs, and technical and technological progress make it necessary to search for new manufacturing methods and ways of organizing them, and to modify manufacturing system design paradigms. This book presents current research in different areas connected with the design and management of manufacturing systems and covers such subject areas as: methods supporting the design of manufacturing systems, methods of improving maintenance processes in companies, the design and improvement of manufacturing processes, the control of production processes in modern manufacturing systems production methods and techniques used in modern manufacturing systems and environmental aspects of production and their impact on the design and management of manufacturing systems. The wide range of research findings reported in this book confirms that the design of manufacturing systems is a complex problem and that the achievement of goals set for modern manufacturing systems requires interdisciplinary knowledge and the simultaneous design of the product, process and system, as well as the knowledge of modern manufacturing and organizational methods and techniques.

Technology: general issues --- efficiency --- production processes --- machinery --- production maintenance --- logistic regression --- production process capability --- product quality --- monitoring of production processes --- process variables --- production planning optimization --- closed-loop green supply chain --- government subsidy --- stackelberg game --- re-manufacturing --- polish manufacturing company --- additive manufacturing technology --- questionnaire survey --- empirical research --- semi-Markov model --- Markov model --- empirical data distribution --- readiness --- production machines --- 8 disciplines method --- custom cable assemblies --- defects --- functional test --- customer satisfaction --- hard computing approach --- p-median problem --- generalized cell formation --- assembly-line balancing --- multi-objective optimization --- simulated annealing --- multilayer network --- production process design --- unit and small-lot production design for manufacturability --- fuzzy logic --- eco-design --- end-of-life treatment --- recycling --- solar power plant --- wind power plant --- life cycle analysis --- advanced industrial engineering --- modelling and simulation --- factory of the future --- smart factory --- manufacturing systems --- production planning optimisation --- decision support --- additive manufacturing --- fused filament fabrication --- CFR-PEEK --- optimal process parameters --- manufacturing performance --- multiple response optimization --- reconfigurable manufacturing system --- Petri net --- deadlock --- siphon --- supervisory controller --- reengineering --- simulation --- productivity --- batch processors --- real-time control --- dispatching --- wafer fabrication --- semiconductor manufacturing --- system-wide performance --- robust scheduling --- predictive scheduling --- machine failure --- failure prediction --- constraint programming --- constraint satisfaction problem --- cost estimation --- decision support systems --- multicriteria optimization --- production planning --- project management --- layout --- 3D printing devices --- methods of optimizing the arrangement of workstations --- car tire production process --- rubber industry --- environmental impact --- Life Cycle Assessment --- entire product lifecycle --- decision-making process --- lean maintenance --- effectiveness --- decision trees --- rough set theory --- n/a

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Although the design and management of manufacturing systems have been explored in the literature for many years now, they still remain topical problems in the current scientific research. The changing market trends, globalization, the constant pressure to reduce production costs, and technical and technological progress make it necessary to search for new manufacturing methods and ways of organizing them, and to modify manufacturing system design paradigms. This book presents current research in different areas connected with the design and management of manufacturing systems and covers such subject areas as: methods supporting the design of manufacturing systems, methods of improving maintenance processes in companies, the design and improvement of manufacturing processes, the control of production processes in modern manufacturing systems production methods and techniques used in modern manufacturing systems and environmental aspects of production and their impact on the design and management of manufacturing systems. The wide range of research findings reported in this book confirms that the design of manufacturing systems is a complex problem and that the achievement of goals set for modern manufacturing systems requires interdisciplinary knowledge and the simultaneous design of the product, process and system, as well as the knowledge of modern manufacturing and organizational methods and techniques.

efficiency --- production processes --- machinery --- production maintenance --- logistic regression --- production process capability --- product quality --- monitoring of production processes --- process variables --- production planning optimization --- closed-loop green supply chain --- government subsidy --- stackelberg game --- re-manufacturing --- polish manufacturing company --- additive manufacturing technology --- questionnaire survey --- empirical research --- semi-Markov model --- Markov model --- empirical data distribution --- readiness --- production machines --- 8 disciplines method --- custom cable assemblies --- defects --- functional test --- customer satisfaction --- hard computing approach --- p-median problem --- generalized cell formation --- assembly-line balancing --- multi-objective optimization --- simulated annealing --- multilayer network --- production process design --- unit and small-lot production design for manufacturability --- fuzzy logic --- eco-design --- end-of-life treatment --- recycling --- solar power plant --- wind power plant --- life cycle analysis --- advanced industrial engineering --- modelling and simulation --- factory of the future --- smart factory --- manufacturing systems --- production planning optimisation --- decision support --- additive manufacturing --- fused filament fabrication --- CFR-PEEK --- optimal process parameters --- manufacturing performance --- multiple response optimization --- reconfigurable manufacturing system --- Petri net --- deadlock --- siphon --- supervisory controller --- reengineering --- simulation --- productivity --- batch processors --- real-time control --- dispatching --- wafer fabrication --- semiconductor manufacturing --- system-wide performance --- robust scheduling --- predictive scheduling --- machine failure --- failure prediction --- constraint programming --- constraint satisfaction problem --- cost estimation --- decision support systems --- multicriteria optimization --- production planning --- project management --- layout --- 3D printing devices --- methods of optimizing the arrangement of workstations --- car tire production process --- rubber industry --- environmental impact --- Life Cycle Assessment --- entire product lifecycle --- decision-making process --- lean maintenance --- effectiveness --- decision trees --- rough set theory --- n/a