AI-Driven Production with Green Sustainability : Selected Papers from ISPR2025, October 9-11, 2025 Istanbul-Turkiye
Book Details
Format
Hardback or Cased Book
Book Series
Lecture Notes in Mechanical Engineering
ISBN-10
3032227836
ISBN-13
9783032227836
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jul 17th, 2026
Print length
843 Pages
Product Classification:
Production & quality control managementProduction and quality control managementSustainabilityProduction and industrial engineeringProduction engineeringComputer networking & communicationsComputer networking and communicationsArtificial intelligenceArtificial intelligence (AI)
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This book consists of selected papers presented at the 25th International Symposium for Production Research (ISPR2025), held from 9 to 11 October 2025 in a hybrid format. The first day took place face-to-face at Istanbul Technical University, Türkiye, with participants and speakers attending in person, while the subsequent days were conducted virtually. The symposium centered on the overarching theme of “AI-Driven Production with Green Sustainability.” It was organized by the Society for Production Research, Istanbul Technical University, Türkiye, and TU Wien, Austria. The symposium marks the ninth consecutive year of collaboration between the Society for Production Research, Istanbul, and TU Wien, Austria. The generic theme of “Industry 4.0” was first adopted at the 2016 symposium and maintained throughout the following eight events in 2017, 2018, 2019, 2020, 2021, 2022, 2023 and 2024, each year incorporating updated perspectives on emerging developments and progress related to this theme. This year, the conference comes together with the theme “AI-Driven Production with Green Sustainability,” emphasizing the transformative role of artificial intelligence in shaping environmentally responsible industrial systems. Within the framework of Industry 5.0, the integration of smart technologies enables more efficient, adaptive, and low-impact production processes. AI supports predictive analytics, optimized resource management, and real-time monitoring, all contributing to reduced emissions and waste. As we advance toward a circular economy, our collective efforts focus on innovations that align technological progress with ecological responsibility, driving sustainable growth across global value chains.
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