Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems
| Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems |
| Autore | Modrak Vladimir |
| Pubbl/distr/stampa | 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 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580213603321 |
Modrak Vladimir
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Novel Industry 4.0 Technologies and Applications
| Novel Industry 4.0 Technologies and Applications |
| Autore | Papakostas Nikolaos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (270 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D modeling
augmented reality automatic height-adjusting cluster analysis collaborative learning complex environment computer-aided tolerance control chart cyber-physical system (CPS) decision support system design for additive manufacturing DfHFinI4.0 digital hydraulic components digital hydraulic system digital hydraulic technology digital twin engineering education engineering graphics ergonomics exoskeletons factor analysis feature learning histogram implementation index Industry 4.0 intensity of technology key enabling technology (KET) knowledge- and technology-intensive industry (KTI) KPI life cycle long short-term memory maintenance manipulator manufacturing maturity model motion planning multiple criteria n/a obstacle avoidance Operator 4.0 path planning pattern recognition PERA 4.0 planning methods PLM process planning processing features degradation quantitative analysis Rapidly-exploring Random Tree (RRT) real-time root-cause analysis scheduling shearer skin model shape smart SMEs statistical process control statistical tolerance analysis technologies time management tolerance allocation Unity3D technology virtual reality VUCA |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557378703321 |
Papakostas Nikolaos
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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