Emerging Trends in Industrial Engineering and Management (eBook, ePUB)

Redaktion: Kumar, Ajay; Chakraborty, Ayon; Schmidt, Mario; Kumar Phanden, Rakesh; Kumar, Parveen

• Format: ePub

Produktbeschreibung

Emerging trends in Industrial Engineering and Management (IEM) refer to the new and transformative developments, practices, and technologies that are currently gaining prominence in the field of industrial engineering and management. Trends in Industrial Engineering and Management can encompasses a wide range of topics such as utilization of Industry 4.0 strategies like Industrial Internet of Things, artificial Intelligence, theoretical, numerical, computational approaches to model the methods and process of IEM.

This book:

• Provides a comprehensive discussion of industrial engineering and management
• Includes principles of continuous improvement, encouraging readers to adopt a mind-set of on-going optimization and innovation in industrial engineering and management
• Presents multi-objective optimization, stochastic optimization, and metaheuristic optimization algorithms for solving complex optimization problems in industrial engineering
• Aligns with the needs of various industries, addressing specific challenges faced by manufacturing, healthcare, logistics, service, and other sectors
• Highlights the importance of using digital technological tools like the Internet of Things, Industrial Internet of Things, big data, and artificial intelligence in practices of industrial management to enhance competitiveness, decision-making, and operations efficiency

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of industrial engineering, production engineering, mechanical engineering, operation management, industrial management, quality engineering, and engineering management.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 330
• Erscheinungstermin: 7. August 2025
• Englisch
• ISBN-13: 9781040380031
• Artikelnr.: 74364389

Autorenporträt

Ajay Kumar is a Professor (Research Track), Department of Mechanical Engineering, School of Core Engineering, Faculty of Science, Technology & Architecture, Manipal University, Jaipur, Rajasthan, India. He earned his Ph.D. in the field of advanced manufacturing and automation from Guru Jambheshwar University of Science & Technology, Hisar, India, after B.Tech. (Hons.) in mechanical engineering and M.Tech. (Distinction) in manufacturing and automation. His areas of research include Biomedical Engineering, Incremental Sheet Forming, Artificial Intelligence, Sustainable Materials, Robotics and Automation, Additive Manufacturing, Mechatronics, Smart Manufacturing, Industry 4.0, Industrial Engineering Systems, Waste Management, and Optimization Techniques. He has over 150 publications in international journals of repute, including Scopus, Web of Science, and SCI indexed database and refereed international conferences. He has organized various national and international events, including an international conference on Mechatronics and Artificial Intelligence (ICMAI-2021) as conference chair. He is currently organizing an international conference on Artificial Intelligence, Advanced Materials, and Mechatronics Systems (AIAMMS-2023) as conference chair. He has more than 20 national and international patents to his credit. He has supervised more than eight M.Tech. and Ph.D. scholars and numerous undergraduate projects/theses. He has 15 years of experience in teaching and research. He is guest editor of many reputed journals. He has contributed to many international conferences/symposiums as a session chair, expert speaker, and member of the editorial board. He has won several proficiency awards during the course of his career, including merit awards, best teacher awards, and so on. He has also co-authored and co-edited more than 20 books. He has also authored many in-house course notes, lab manuals, monographs, and invited chapters in books. He has organized a series of faculty development programs, international conferences, workshops, and seminars for researchers, Ph.D., UG, and PG-level students. He is associated with many research, academic, and professional societies in various capacities. Parveen Kumar is a Skill Instructor (Tool and Die) in the Skill Department of Automotive Studies, Shri Vishwakarma Skill University, Palwal, Haryana, India. Currently, he is pursuing his Ph.D. from the National Institute of Technology, Kurukshetra, Haryana, India. He completed his B.Tech. (Hons.) from Kurukshetra University, Kurukshetra, India, and M.Tech. (Distinction) in Manufacturing and Automation from Maharshi Dayanand University, Rohtak, India. His areas of research include Intelligent Manufacturing Systems, Materials, Mechatronics Systems, Advanced Materials, Industry 4.0, Die-Less Forming, Design of Automotive Systems, Additive Manufacturing, CAD/ CAM, Artificial Intelligence, Machine Learning, and Internet of Things in Manufacturing, Multiobjective Optimization Techniques. He has over 50 publications in international journals of repute, including Scopus, Web of Science, and SCI indexed database and refereed international conferences. He has eight national and international patents to his credit. He has supervised more than two M.Tech. scholars and numerous undergraduate projects/theses. He has 13 years of experience in teaching and research. He has co-authored/co-edited several books with reputed publication house such as CRC Press, Elsevier, Springer, Wiley, De Gruyter, IGI Global and has organized a series of faculty development programs, workshops, and seminars for researchers and UG-level students. He is also the series editor of the series Industrial and Manufacturing Systems and Technologies: Sustainable and Intelligent Perspectives (CRC Press). Dr. Rakesh Kumar Phanden is a seasoned researcher, academic leader, and accomplished administrator with expertise in project management, research outcomes and quality assurance in the higher and vocational education sector. He earned his PhD from the National Institute of Technology, Kurukshetra, India, and has an extensive publication record that includes edited books, special issues, and over 120 research papers. His significant editorial contributions include roles as EiC, guest editor, associate editor, reviewer, and editorial board member for prestigious international journals. Dr. Phanden's teaching and research interests encompass Lean Six Sigma, Circular Economy, Risk Management, Operations Management, Sustainability issues, and the Application of various Industry 4.0 Tools and technologies. His commitment to mentoring stands out as a defining aspect of his career, having successfully guided numerous PhD, UG, and PG students, thereby shaping the future generation of scholars and industry professionals. Mario Schmidt is Managing Director of Lingel Windows and Doors Technologies Pvt Ltd, both in India and Germany. He completed his undergraduate alongside a certification for "Master Craftsman for Windows and Furniture Design" in 1994 and an MBA in Business Economist from Handwerkskammer Chemnitz, Germany. He has an honorary doctorate for his contribution to skill development. He has also participated in the AIMA course in global management from the Berkley University of California. He was the founding member of the window association uWDMA India in 2008 and technical head from 2008 until 2016 and president of the association since 2016. He has various specialties such as general management, corporate development, product development, business operations, strategy, and customer relations. He is also working closely with Indian government bodies BIS, BEE, MSDE, as well as the German government bodies of GIZ and DEG. He delivered many keynotes, talks, and expert lectures at international events. Ayon Chakraborty is Associate Professor in Engineering Project Management at the Institute of Innovation, Science and Sustainability at Federation University, Australia. Prior to joining the university, he was Associate Professor in Operations Management and Decision Sciences area at the Indian Institute of Management Tiruchirappalli, India. Dr. Chakraborty was also Post-Doctoral Research Fellow, Services Science Discipline, Information Systems School at the Queensland University of Technology, Brisbane, Australia. He earned his Ph.D. in Industrial and Systems Engineering from the National University of Singapore in Service Quality. He has more than 11 years of experience in teaching and consulting business students and executives at various institutes such as Queensland University of Technology and James Cook University Australia (Singapore Campus). Dr. Chakraborty's main research interests are in Quality Management such as on Lean, Six Sigma, and other quality tools and techniques. In recent years, he also worked on practices related to sustainable development and circular economy, specifically in micro, small, and medium enterprises (MSMEs). He is also involved in international collaborative research projects such as Erasmus Plus and Global Challenges Research Funding (GCRF) with Aston University in the UK. Both these projects focus on the sustainability and well-being of MSMEs and are sponsored and funded by the UK Government.

Inhaltsangabe

Section I. Advance Trends in Industrial Engineering. 1: Literature Review
on Balanced and Unbalanced Industrial Assignment Problems. 2. Systems for
Detecting Intruders In Internet of Things Environments Using The Cloud: A
Survey. 3. Utilizing Advanced Machine Learning to Improve Network Security
in Industries Against Changing Cyber Threats. 4. Big Data Analytics and
FinTech (FT) in BFSI Industries: Emerging Trends. 5. Internet of Things
Products: Management of Youth's Purchase Intention. 6. Artificial
Intelligence and its Futuristic Approach in Industries. 7. Analysis On A
Resource -Based Population Model With Caputo Fractional Derivative. 8.
Selection of Teaching Pedagogy for Engineering Classroom Learning from
Instructor's Viewpoints using Fuzzy TOPSIS approach: A Case Study of
Selected Higher Education Institutions in Northern India. Section II:
Advance Trends in Industrial Management. 9. A bibliometric analysis and
management of big data and machine learning research: current trends and
future directions. 10. Water Scarcity And Its Management Strategies In
India. 11. Group Search Optimization and Neural Network Based Security and
Management of Digital Data. 12. Building A Smart Contract Based Escrow
Platform for Management of Crowd-Funding and Public/Private Tenders on
Block-Chain. 13. Analysis of Water Quality for Sustainable Resource
Management Using Machine Learning Techniques. 14. Management of Crop
Recommendation System using Predictive Analytics. 15. Analysis of
Creditworthiness and Risk Assessment Management for Enterprises Using
Machine Learning. 16. Intersection of Artificial Intelligence in
Agriculture Sector Management: A Critical Analysis. 17. A Study on
Management of Employee Perception Towards The Role of Artificial
Intelligence Tools in Promoting Employee Engagement: An Empirical Study of
the Banking Sector in Kumaun Region.