Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book, as a Special Issue, is a collection of some of the latest advancements in designing and scheduling smart manufacturing systems. The smart manufacturing concept is undoubtedly considered a paradigm shift in manufacturing technology. This conception is part of the Industry 4.0 strategy, or equivalent national policies, and brings new challenges and opportunities for the companies that are facing tough global competition. Industry 4.0 should not only be perceived as one of many possible strategies for manufacturing companies, but also as an important practice within organizations. The main focus of Industry 4.0 implementation is to combine production, information technology, and the internet. The presented Special Issue consists of ten research papers presenting the latest works in the field. The papers include various topics, which can be divided into three categories—(i) designing and scheduling manufacturing systems (seven articles), (ii) machining process optimization (two articles), (iii) digital insurance platforms (one article). Most of the mentioned research problems are solved in these articles by using genetic algorithms, the harmony search algorithm, the hybrid bat algorithm, the combined whale optimization algorithm, and other optimization and decision-making methods. The above-mentioned groups of articles are briefly described in this order in this book.

Technology: general issues --- History of engineering & technology --- flexible job-shop scheduling problem --- combinatorial optimization --- genetic algorithm --- candidate order-based genetic algorithm --- multichromosome --- facility layout --- optimization --- metaheuristic algorithm --- cell formation --- design of experiments --- digital platforms --- decision-making --- insurance --- Baltic --- customization --- personalization --- assembly line balancing --- group technology --- cluster algorithm --- bottleneck station --- output rate --- tolerance allocation --- machine and process selection --- heuristic approach --- univariate search method --- whale optimization algorithm --- selective assembly --- overrunning clutch assembly --- harmony search algorithm --- Hastelloy X --- turning --- cutting force --- surface roughness --- liquid nitrogen --- grass-hooper optimization algorithm --- moth-flame optimization algorithm --- hybrid bat algorithm --- optimization problem --- the distributed assembly permutation flowshop scheduling problem --- variable neighborhood descent --- multi-criteria assessment --- cell manufacturing design --- operational complexity --- makespan --- production line balancing rate --- electrochemical machining (ECM) --- material removal rate (MRR) --- nickel presence (NP) --- grey wolf optimizer (GWO) --- moth-flame optimization algorithm (MFO) --- Monel 400 alloys --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book, as a Special Issue, is a collection of some of the latest advancements in designing and scheduling smart manufacturing systems. The smart manufacturing concept is undoubtedly considered a paradigm shift in manufacturing technology. This conception is part of the Industry 4.0 strategy, or equivalent national policies, and brings new challenges and opportunities for the companies that are facing tough global competition. Industry 4.0 should not only be perceived as one of many possible strategies for manufacturing companies, but also as an important practice within organizations. The main focus of Industry 4.0 implementation is to combine production, information technology, and the internet. The presented Special Issue consists of ten research papers presenting the latest works in the field. The papers include various topics, which can be divided into three categories—(i) designing and scheduling manufacturing systems (seven articles), (ii) machining process optimization (two articles), (iii) digital insurance platforms (one article). Most of the mentioned research problems are solved in these articles by using genetic algorithms, the harmony search algorithm, the hybrid bat algorithm, the combined whale optimization algorithm, and other optimization and decision-making methods. The above-mentioned groups of articles are briefly described in this order in this book.

Technology: general issues --- History of engineering & technology --- flexible job-shop scheduling problem --- combinatorial optimization --- genetic algorithm --- candidate order-based genetic algorithm --- multichromosome --- facility layout --- optimization --- metaheuristic algorithm --- cell formation --- design of experiments --- digital platforms --- decision-making --- insurance --- Baltic --- customization --- personalization --- assembly line balancing --- group technology --- cluster algorithm --- bottleneck station --- output rate --- tolerance allocation --- machine and process selection --- heuristic approach --- univariate search method --- whale optimization algorithm --- selective assembly --- overrunning clutch assembly --- harmony search algorithm --- Hastelloy X --- turning --- cutting force --- surface roughness --- liquid nitrogen --- grass-hooper optimization algorithm --- moth-flame optimization algorithm --- hybrid bat algorithm --- optimization problem --- the distributed assembly permutation flowshop scheduling problem --- variable neighborhood descent --- multi-criteria assessment --- cell manufacturing design --- operational complexity --- makespan --- production line balancing rate --- electrochemical machining (ECM) --- material removal rate (MRR) --- nickel presence (NP) --- grey wolf optimizer (GWO) --- moth-flame optimization algorithm (MFO) --- Monel 400 alloys

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This monograph concerns the mathematical aspects of software reliability and quality assurance and consists of 11 technical papers in this emerging area. Included are the latest research results related to formal methods and design, automatic software testing, software verification and validation, coalgebra theory, automata theory, hybrid system and software reliability modeling and assessment.

fuzzy automata --- coalgebra --- fuzzy language --- bisimulation --- composition --- test data generation --- genetic algorithm --- specification-based testing --- regression testing --- mutation testing --- eventual property --- model checking --- Maude --- textual question answering --- visual question answering --- metamorphic testing --- metamorphic relations --- quality assessment --- software rejuvenation --- checkpointing --- optimal rejuvenation-trigger timing --- steady-state system availability --- phase expansion --- human-error factors --- petri net --- concurrent software systems --- model-checking --- data-flows --- software reliability model --- maximum likelihood estimation --- EM algorithm --- non-homogeneous Poisson process --- generalized failure count data --- moth flame optimization --- island-based model --- feature selection --- software defect prediction --- software reliability --- search-based test case generation --- branch coverage --- object-oriented --- deep learning --- long short-term memory --- project similarity and clustering --- cross-project prediction --- Nervos CKB --- consensus protocol --- UPPAAL

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book is a Special Issue Reprint edited by Prof. Massimo Vitelli and Dr. Luigi Costanzo. It contains original research articles covering, but not limited to, the following topics: maximum power point tracking techniques; forecasting techniques; sizing and optimization of PV components and systems; PV modeling; reconfiguration algorithms; fault diagnosis; mismatching detection; decision processes for grid operators.

History of engineering & technology --- sensor network --- data fusion --- complex network analysis --- fault prognosis --- photovoltaic plants --- ANFIS --- statistical method --- gradient descent --- photovoltaic system --- sustainable development --- PV power prediction --- artificial neural network --- renewable energy --- environmental parameters --- multiple regression model --- moth-flame optimization --- parameter extraction --- photovoltaic model --- double flames generation (DFG) strategy --- Solar cell parameters --- single-diode model --- two-diode model --- COA --- photovoltaic systems --- maximum power point tracking --- single stage grid connected systems --- solar concentrator --- spectral beam splitting --- diffractive optical element --- diffractive grating --- PVs power output forecasting --- adaptive neuro-fuzzy inference systems --- particle swarm optimization-artificial neural networks --- solar irradiation --- photovoltaic power prediction --- publicly available weather reports --- machine learning --- long short-term memory --- integrated energy systems --- smart energy management --- PV fleet --- clustering-based PV fault detection --- unsupervised learning --- self-imputation --- implicit model solution --- photovoltaic array --- series–parallel --- global optimization --- partial shading --- deterministic optimization algorithm --- metaheuristic optimization algorithm --- genetic algorithm --- solar cell optimization --- finite difference time domain --- optical modelling --- thermal image --- photovoltaic module --- hot spot --- image processing --- deterioration --- linear approximation --- MPPT algorithm --- duty cycle --- global horizontal irradiance --- mathematical modeling --- feed-forward neural networks --- recurrent neural networks --- LSTM cell --- performances evaluation --- clear sky irradiance --- persistent predictor --- photovoltaics --- artificial neural networks --- national power system

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Current trends in Industry 4.0 are largely related to issues of reliability and availability. As a result of these trends and the complexity of engineering systems, research and development in this area needs to focus on new solutions in the integration of intelligent machines or systems, with an emphasis on changes in production processes aimed at increasing production efficiency or equipment reliability. The emergence of innovative technologies and new business models based on innovation, cooperation networks, and the enhancement of endogenous resources is assumed to be a strong contribution to the development of competitive economies all around the world. Innovation and engineering, focused on sustainability, reliability, and availability of resources, have a key role in this context. The scope of this Special Issue is closely associated to that of the ICIE’2020 conference. This conference and journal’s Special Issue is to present current innovations and engineering achievements of top world scientists and industrial practitioners in the thematic areas related to reliability and risk assessment, innovations in maintenance strategies, production process scheduling, management and maintenance or systems analysis, simulation, design and modelling.

Quality check --- bike frame --- mathematical model --- graphical user interface --- risk management --- safety assurance --- medical parallel robot --- robotic assisted cancer treatment --- risk performance reasoning --- hidden Markov model --- Handy bauxite carrier --- process safety --- performance evaluation --- safety --- coupling correlation --- risk assessment --- multi-dimensional theory --- precision steel tape --- tape transportation --- roller-tape interactions --- roller-tape contact pair --- reliability --- truck unloading system --- petroleum equipment --- preventive maintenance --- cork–rubber composites --- compression --- apparent compression modulus --- Young’s modulus --- bonded condition --- importance measure --- cost --- inventory systems --- air compression system --- nitrogen generation system --- utility module --- availability --- sensitivity analysis --- predictive maintenance --- Industry 4.0 --- Internet of Things --- artificial intelligence --- machine learning --- maintenance --- predictive scheduling --- flow shop --- job shop --- ant colony optimisation --- on-line monitoring --- collaborative robots --- human robot collaboration --- time between failure (TBF) --- common beta hypothesis (CBH) test --- meta-analysis --- level of heterogeneity --- mean time between failure (MTBF) --- text mining --- network-based distributed manufacturing systems --- moth flame optimization algorithm --- support vector machines --- Naive Bayes --- random forest --- decision trees --- supplier classification --- machining centre --- DSM --- Copula function --- fault propagation intensity --- fault propagation behaviour --- lubricity --- gear oil --- wear --- operational reliability --- n/a --- cork-rubber composites --- Young's modulus