Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems

• Autore: Modrak Vladimir
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 online resource (200 p.)
• Soggetto topico: History of engineering and technology; Technology: general issues
• Soggetto non controllato: assembly line balancing; Baltic; bottleneck station; candidate order-based genetic algorithm; cell formation; cell manufacturing design; cluster algorithm; combinatorial optimization; customization; cutting force; decision-making; design of experiments; digital platforms; electrochemical machining (ECM); facility layout; flexible job-shop scheduling problem; genetic algorithm; grass-hooper optimization algorithm; grey wolf optimizer (GWO); group technology; harmony search algorithm; Hastelloy X; heuristic approach; hybrid bat algorithm; insurance; liquid nitrogen; machine and process selection; makespan; material removal rate (MRR); metaheuristic algorithm; Monel 400 alloys; moth-flame optimization algorithm; moth-flame optimization algorithm (MFO); multi-criteria assessment; multichromosome; n/a; nickel presence (NP); operational complexity; optimization; optimization problem; output rate; overrunning clutch assembly; personalization; production line balancing rate; selective assembly; surface roughness; the distributed assembly permutation flowshop scheduling problem; tolerance allocation; turning; univariate search method; variable neighborhood descent; whale optimization algorithm
• Persona (resp. second.): SoltysovaZuzana; ModrakVladimir
• Sommario/riassunto: 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.
• Titolo autorizzato: Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910580213603321
• Lo trovi qui: Univ. Federico II