Emerging Technologies for Sustainable Manufacturing
Sujit Singh
In the manufacturing industry, a major concern persists—the historical entanglement of this sector with environmental issues. Climate change and resource depletion cast a shadow over traditional practices, demanding a paradigm shift. As our planet grapples with these challenges, the imperative for sustainable manufacturing practices becomes undeniable. Emerging Technologies for Sustainable Manufacturing addresses the environmental conundrums tied to manufacturing. This groundbreaking book delves into transformative technologies such as artificial intelligence, renewable energy integration, innovative materials, and the Internet of Things. By providing a profound analysis of these futuristic solutions, the book aims to guide academic scholars towards a comprehensive understanding of how these technologies can usher in a greener, more sustainable era in manufacturing. The urgent need for sustainable manufacturing practices is palpable, and this book rises to the occasion by providing a nuanced analysis of how these revolutionary technologies can propel the industry towards a greener future. From the role of artificial intelligence in smart manufacturing to sustainable materials applications, the book not only illuminates the current state of affairs but also sparks inspiration for a new generation of researchers, engineers, and entrepreneurs. As a persuasive call to action, the book empowers its readership to contribute actively to the ongoing transformation, fostering a resilient, ecologically responsible future where technology and sustainability harmonize.
- Format: Hardback
- ISBN: 9798369318621
- Publication Date: Jul 2024
- Availability: Not Yet Available - Pre-Order Now
ASME 2021 16th International Manufacturing Science and Engineering Conference (MSEC2021), Volume 2
- Format: Paperback
- ISBN: 9780791885079
- Publication Date: May 2024
- Availability: Not Yet Available - Pre-Order Now
Proceedings of the JSME 2020 Conference on Leading Edge Manufacturing/Materials and Processing (LEMP2020)
- Format: Paperback
- ISBN: 9780791883624
- Publication Date: May 2024
- Availability: Not Yet Available - Pre-Order Now
ASME 2020 15th International Manufacturing Science and Engineering Conference (MSEC2020) Volume 2A
- Format: Paperback
- ISBN: 9780791884263
- Publication Date: May 2024
- Availability: Not Yet Available - Pre-Order Now
ASME 2020 15th International Manufacturing Science and Engineering Conference (MSEC2020) Volume 2B
- Format: Paperback
- ISBN: 9780791884751
- Publication Date: May 2024
- Availability: Not Yet Available - Pre-Order Now
Print proceedings of the ASME 2019 14th International Manufacturing Science and Engineering Conference (MSEC2019): 2 Volume Set
- Format: Paperback
- ISBN: H2023S-AME
- Publication Date: Apr 2024
- Availability: Not Yet Available - Pre-Order Now
The Sustainability of Operations
Joris van de Klundert
In pursuit of sustainable operations, this book analyses the past, present, and future of operations. Written for practitioners, scientists, and students of operations management and operations research, offers extensive insight into the relationship between operations and sustainability that has not yet appeared in the OR literature
- Format: Hardback
- ISBN: 9781638282846
- Publication Date: Jan 2024
- Availability: In Stock - Despatched Within 5 Working Days
Proceedings of ASME 2022 17th International Manufacturing Science and Engineering Conference (MSEC2022), Volume 2
- Format: Paperback
- ISBN: 9780791885819
- Publication Date: May 2023
- Availability: In Stock - Despatched Within 5-7 Working Days
Key Elements of Food Safety and Food Processing
Reema
- Format: Hardback
- ISBN: 9781774694756
- Publication Date: Dec 2022
- Availability: In Stock - Despatched Within 5-7 Working Days
Casting Processes
T. R. Vijayaram
- Format: Hardback
- ISBN: 9781803554952
- Publication Date: Aug 2022
- Availability: In Stock - Despatched Within 5 Working Days
New Directions in Bioprocess Modeling and Control
Gregory K. McMillan
- Format: Paperback
- ISBN: 9781643311043
- Publication Date: Aug 2022
- Availability: In Stock - Despatched Within 5-7 Working Days
Aluminium Alloys
Giulio Timelli
- Format: Hardback
- ISBN: 9781839687297
- Publication Date: Jul 2022
- Availability: Temporarily out of stock: Usually despatched in 14-18 days
Process Operations
Norman Lieberman
A straightforward approach to mastering the principles and concepts all process engineers should be able to apply without the need of a computer.
- Format: Hardback
- ISBN: 9781955578066
- Publication Date: Jun 2022
- Availability: In Stock - Despatched Within 5-7 Working Days
Food Flavors
Vijay D. Kele and Amrita Tigga
- Format: Hardback
- ISBN: 9781774690321
- Publication Date: Dec 2021
- Availability: In Stock - Despatched Within 5-7 Working Days
Process Control Basics
George Buckbee
- Format: Paperback
- ISBN: 9781643311302
- Publication Date: Oct 2021
- Availability: Temporarily out of stock: Usually despatched in 14-18 days
Safety and Quality of Water Used in Food Production and Processing
- Format: Paperback
- ISBN: 9789251318089
- Publication Date: Sep 2021
- Availability: In Stock - Despatched Within 5 Working Days
Pulp and paper capacities, survey 2019–2024. Capacités de la pâte et du papier, enquête 2019–2024. Capacidades de pulpa y papel, estudio 2019–2024
- Format: Paperback
- ISBN: 9789251333709
- Publication Date: Mar 2021
- Availability: In Stock - Despatched Within 5 Working Days
Data-Driven Optimization of Manufacturing Processes
Kanak Kalita
All machining process are dependent on a number of inherent process parameters. It is of the utmost importance to find suitable combinations to all the process parameters so that the desired output response is optimized. While doing so may be nearly impossible or too expensive by carrying out experiments at all possible combinations, it may be done quickly and efficiently by using computational intelligence techniques. Due to the versatile nature of computational intelligence techniques, they can be used at different phases of the machining process design and optimization process. While powerful machine-learning methods like gene expression programming (GEP), artificial neural network (ANN), support vector regression (SVM), and more can be used at an early phase of the design and optimization process to act as predictive models for the actual experiments, other metaheuristics-based methods like cuckoo search, ant colony optimization, particle swarm optimization, and others can be used to optimize these predictive models to find the optimal process parameter combination. These machining and optimization processes are the future of manufacturing. Data-Driven Optimization of Manufacturing Processes contains the latest research on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization viewpoint in both soft computing approaches and machining processes. The chapters provide solutions applicable to machining or manufacturing process problems and for optimizing the problems involved in other areas of mechanical, civil, and electrical engineering, making it a valuable reference tool. This book is addressed to engineers, scientists, practitioners, stakeholders, researchers, academicians, and students interested in the potential of recently developed powerful computational intelligence techniques towards improving the performance of machining processes.
- Format: Hardback
- ISBN: 9781799872061
- Publication Date: Dec 2020
- Availability: In Stock - Despatched Within 5 Working Days
ASM Handbook, Volume 24
David L. Bourell
- Format: Hardback
- ISBN: 9781627082884
- Publication Date: Oct 2020
- Availability: In Stock - Despatched Within 5-7 Working Days
Binder and Polymer Assisted Powder Processing
Randall M. German
- Format: Hardback
- ISBN: 9781627082754
- Publication Date: Sep 2020
- Availability: In Stock - Despatched Within 5-7 Working Days