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...

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Формат: Online
Мова:Англійська
Іспанська
Опубліковано: South American Publishing 2026
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Онлайн доступ:https://directory.doabooks.org/handle/20.500.12854/176556
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collection Directory of Open Access Books
description 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.
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institution Directory of Open Access Books
language eng
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publisherStr South American Publishing
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spelling doab-20.500.12854ir-1765562026-05-20T00:54:26Z Next-Generation Industrial Engineering: Artificial Intelligence, Smart Manufacturing, and Sustainable Industrial Engineering Vugar, Abdullayev Khang, Alex Industrial Engineering; Artificial Intelligence; Smart Manufacturing; Sustainable Engineering; Cyber–Physical Systems thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes 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. Published 2026-05-20T00:54:17Z 2026-05-20T00:54:17Z 2026-03-09 book 978-9915-704-21-0 https://directory.doabooks.org/handle/20.500.12854/176556 eng spa application/octet-stream South American Publishing South American Publishing 10.62486/978-9915-704-21-0 10.62486/978-9915-704-21-0 18fbfe3b-3f91-4cf7-b6b9-18d696cb9331 978-9915-704-21-0 South American Publishing 122 Montevideo open access
spellingShingle Industrial Engineering; Artificial Intelligence; Smart Manufacturing; Sustainable Engineering; Cyber–Physical Systems
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes
Next-Generation Industrial Engineering: Artificial Intelligence, Smart Manufacturing, and Sustainable Industrial Engineering
title Next-Generation Industrial Engineering: Artificial Intelligence, Smart Manufacturing, and Sustainable Industrial Engineering
title_full Next-Generation Industrial Engineering: Artificial Intelligence, Smart Manufacturing, and Sustainable Industrial Engineering
title_fullStr Next-Generation Industrial Engineering: Artificial Intelligence, Smart Manufacturing, and Sustainable Industrial Engineering
title_full_unstemmed Next-Generation Industrial Engineering: Artificial Intelligence, Smart Manufacturing, and Sustainable Industrial Engineering
title_short Next-Generation Industrial Engineering: Artificial Intelligence, Smart Manufacturing, and Sustainable Industrial Engineering
title_sort next generation industrial engineering artificial intelligence smart manufacturing and sustainable industrial engineering
topic Industrial Engineering; Artificial Intelligence; Smart Manufacturing; Sustainable Engineering; Cyber–Physical Systems
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes
topic_facet Industrial Engineering; Artificial Intelligence; Smart Manufacturing; Sustainable Engineering; Cyber–Physical Systems
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes
url https://directory.doabooks.org/handle/20.500.12854/176556