Next-Generation Industrial Engineering: Artificial Intelligence, Smart Manufacturing, and Sustainable Industrial Engineering
Focuses on the growing interaction between artificial intelligence, smart manufacturing, and sustainability in industrial engineering. The chapters address data-driven models, machine learning, and cyber–physical systems shaping scheduling, predictive maintenance, quality control, and digital twin a...
Сохранить в:
| Формат: | Online |
|---|---|
| Язык: | английский испанский |
| Опубликовано: |
South American Publishing
2026
|
| Предметы: | |
| Online-ссылка: | https://directory.doabooks.org/handle/20.500.12854/176556 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|
| Итог: | Focuses on the growing interaction between artificial intelligence, smart manufacturing, and sustainability in industrial engineering. The chapters address data-driven models, machine learning, and cyber–physical systems shaping scheduling, predictive maintenance, quality control, and digital twin applications in real production contexts. Alongside these developments, the text considers practical limits such as data reliability, system integration, workforce adaptation, and governance. Smart manufacturing emerges as a socio-technical environment where human judgment remains central. Sustainability adds further constraints through energy use, resource management, and lifecycle considerations, presenting industrial engineering as a field defined by complexity, responsibility, and contextual decision-making. |
|---|