Artificial Intelligence in Mechanical and Industrial Engineering

Artificial Intelligence in Mechanical and Industrial Engineering
Author: Kaushik Kumar,Divya Zindani,J. Paulo Davim
Publsiher: CRC Press
Total Pages: 156
Release: 2021-06-21
ISBN 10: 1000396932
ISBN 13: 9781000396935
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Mechanical and Industrial Engineering Book Review:

Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains. The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals. The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains.

Machine Learning in Industry

Machine Learning in Industry
Author: Shubhabrata Datta,J. Paulo Davim
Publsiher: Springer Nature
Total Pages: 197
Release: 2021-07-24
ISBN 10: 3030758478
ISBN 13: 9783030758479
Language: EN, FR, DE, ES & NL

Machine Learning in Industry Book Review:

This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems.

Computational Intelligence in Manufacturing

Computational Intelligence in Manufacturing
Author: Kaushik Kumar,Ganesh M. Kakandikar,J. Paulo Davim
Publsiher: Woodhead Publishing
Total Pages: 224
Release: 2022-05-28
ISBN 10: 0323918557
ISBN 13: 9780323918558
Language: EN, FR, DE, ES & NL

Computational Intelligence in Manufacturing Book Review:

Computational Intelligence in Manufacturing addresses applications of AI, machine learning and other innovative computational techniques across the manufacturing supply chain. The rapid development of smart or digital manufacturing known as Industry 4.0 has swiftly provided a large number of opportunities for product and manufacturing process improvement. Selecting the appropriate technologies and combining them successfully is a challenge this book helps readers overcome . It explains how to prepare different manufacturing cells for flexibility and enhanced productivity with better supply chain management, e.g., calibrating design machine tools for automation and agility. Computational intelligence applications for non-conventional manufacturing processes such as ECM and EDM are covered alongside recent advances in traditional processes like casting, welding and metal forming. As well as describing specific applications, this practical guide also explains the computational intelligence paradigm for enhanced supply chain management. Includes hot topics such as augmented and virtual reality applications in manufacturing Provides details of computational techniques, such as nature inspired algorithms for manufacturing process modeling Gives practical technical advice on how to calibrate processes and tools to work efficiently in an industry 4.0 system

Artificial Intelligence and Industrial Applications

Artificial Intelligence and Industrial Applications
Author: Tawfik Masrour,Anass Cherrafi,Ibtissam El Hassani
Publsiher: Springer Nature
Total Pages: 442
Release: 2020-09-01
ISBN 10: 3030511863
ISBN 13: 9783030511869
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Industrial Applications Book Review:

This book gathers the refereed proceedings of the Artificial Intelligence and Industrial Applications (A2IA’2020), the first installment of an annual international conference organized by the ENSAM-Meknes at Moulay Ismail University, Morocco. The 30 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as smart manufacturing, smart maintenance, smart supply chain management, supervised learning, unsupervised learning, reinforcement learning, graph-based and semi-supervised learning, neural networks, deep learning, planning and optimization, and other AI applications. The book is intended for AI experts, offering them a valuable overview of the status quo and a global outlook for the future, with many new and innovative ideas and recent important developments in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject.

Advances in Manufacturing Processes Intelligent Methods and Systems in Production Engineering

Advances in Manufacturing Processes  Intelligent Methods and Systems in Production Engineering
Author: Andre Batako
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN 10: 3030905322
ISBN 13: 9783030905323
Language: EN, FR, DE, ES & NL

Advances in Manufacturing Processes Intelligent Methods and Systems in Production Engineering Book Review:

Smart Agents for the Industry 4 0

Smart Agents for the Industry 4 0
Author: Max Hoffmann
Publsiher: Springer Nature
Total Pages: 318
Release: 2019-09-11
ISBN 10: 3658277424
ISBN 13: 9783658277420
Language: EN, FR, DE, ES & NL

Smart Agents for the Industry 4 0 Book Review:

Max Hoffmann describes the realization of a framework that enables autonomous decision-making in industrial manufacturing processes by means of multi-agent systems and the OPC UA meta-modeling standard. The integration of communication patterns and SOA with grown manufacturing systems enables an upgrade of legacy environments in terms of Industry 4.0 related technologies. The added value of the derived solutions are validated through an industrial use case and verified by the development of a demonstrator that includes elements of self-optimization through Machine Learning and communication with high-level planning systems such as ERP. About the Author: Dr.-Ing. Max Hoffmann is a scientific researcher at the Institute of Information Management in Mechanical Engineering, RWTH Aachen University, Germany, and leads the group “Industrial Big Data”. His research emphasizes on production optimization by means of data integration through interoperability and communication standards for industrial manufacturing and integrated analysis by using Machine Learning and stream-based information processing.

Industrial and Engineering Applications or Artificial Intelligence and Expert Systems

Industrial and Engineering Applications or Artificial Intelligence and Expert Systems
Author: Takushi Tanaka,Setsuo Ohsuga,Ali Moonis
Publsiher: CRC Press
Total Pages: 808
Release: 2022-04-13
ISBN 10: 100065835X
ISBN 13: 9781000658354
Language: EN, FR, DE, ES & NL

Industrial and Engineering Applications or Artificial Intelligence and Expert Systems Book Review:

This volume includes the proceedings from Proceedings of the Ninth International Conference Fukuoka, Japan, June 4-7, 1996. This work represents a broad spectrum of new ideas in the field of applied artificial intelligence and expert systems, and serves to disseminate information regarding intelligent methodologies and their implementation in solving various problems in industry and engineering.

Production Engineering

Production Engineering
Author: Manfred Weck,Walter Eversheim,Wilfried König
Publsiher: Elsevier
Total Pages: 516
Release: 2013-10-22
ISBN 10: 1483102122
ISBN 13: 9781483102122
Language: EN, FR, DE, ES & NL

Production Engineering Book Review:

Production Engineering: The Competitive Edge describes the applications of advanced manufacturing technologies and their environmental impact. This book contains four chapters that explore particularly the implementation of high-performance integrated system in production engineering. The first chapter deals with the association between product design, market, and manufacturing requirements, followed by a review of production management and economic and human oriented operation of production systems. The second chapter tackles the principles of the so-called “Intelligent Technologies , the potential of material-adapted machines, and environmental responsibility of manufacturing technologies. The third chapter highlights the design and realization of manufacturing equipment. This chapter also looks into the problem of interfacing in material flow in integrated systems, the concept of shop floor techniques, and the reduction of initial operation and standstill times of complex manufacturing machines. The fourth chapter considers quality assurance methods, including quality control loops, network, and optoelectronic measurements. This book will prove useful to workers in the fields of development, engineering design, operations scheduling, manufacturing, assembly, quality assurance, personnel management, and accounting departments.

Manufacturing Intelligence for Industrial Engineering Methods for System Self Organization Learning and Adaptation

Manufacturing Intelligence for Industrial Engineering  Methods for System Self Organization  Learning  and Adaptation
Author: Zhou, Zude,Wang, Huaiqing,Lou, Ping
Publsiher: IGI Global
Total Pages: 407
Release: 2010-03-31
ISBN 10: 1605668656
ISBN 13: 9781605668659
Language: EN, FR, DE, ES & NL

Manufacturing Intelligence for Industrial Engineering Methods for System Self Organization Learning and Adaptation Book Review:

"This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.

Intelligent Systems in Production Engineering and Maintenance

Intelligent Systems in Production Engineering and Maintenance
Author: Anna Burduk,Edward Chlebus,Tomasz Nowakowski,Agnieszka Tubis
Publsiher: Springer
Total Pages: 785
Release: 2018-07-31
ISBN 10: 3319974904
ISBN 13: 9783319974903
Language: EN, FR, DE, ES & NL

Intelligent Systems in Production Engineering and Maintenance Book Review:

The book presents a collection of 103 peer-reviewed articles from the Second International Conference on Intelligent Systems in Production Engineering and Maintenance (ISPEM 2018). The conference was organized by the Faculty of Mechanical Engineering and CAMT (Centre for Advanced Manufacturing Technologies), Wrocław University of Science and Technology and was held in Wrocław (Poland) on 17–18 September 2018. The conferences topics included the possibility of using a wide range of intelligent methods in production engineering, presenting and discussing new solutions for innovative plants, research findings and case studies demonstrating advances in production and maintenance from the point of view of Industry 4.0 – particularly applications of intelligent systems, methods and tools in production engineering, maintenance, logistics, quality management, information systems and product development. The book is divided into two parts: the first includes papers related to intelligent systems in production engineering, while the second is dedicated to special sessions focusing on: 1. Computer Aided methods in Production Engineering 2. Mining 4.0 and Intelligent Mining Transportation 3. Modelling and Simulation of Production Processes 4. Multi-Faceted Modelling of Networks and Processes 5. Product Design and Product Manufacturing in Industry 4.0 This book is an excellent source of information for scientists in the field of manufacturing engineering and for top managers in production enterprises.

Advances in Production Management Systems Artificial Intelligence for Sustainable and Resilient Production Systems

Advances in Production Management Systems  Artificial Intelligence for Sustainable and Resilient Production Systems
Author: Alexandre Dolgui,Alain Bernard,David Lemoine,Gregor von Cieminski,David Romero
Publsiher: Springer Nature
Total Pages: 657
Release: 2021-09-01
ISBN 10: 3030859142
ISBN 13: 9783030859145
Language: EN, FR, DE, ES & NL

Advances in Production Management Systems Artificial Intelligence for Sustainable and Resilient Production Systems Book Review:

The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.* The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections: Part I: artificial intelligence based optimization techniques for demand-driven manufacturing; hybrid approaches for production planning and scheduling; intelligent systems for manufacturing planning and control in the industry 4.0; learning and robust decision support systems for agile manufacturing environments; low-code and model-driven engineering for production system; meta-heuristics and optimization techniques for energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identification for manufacturing control applications; and the future of lean thinking and practice Part II: digital transformation of SME manufacturers: the crucial role of standard; digital transformations towards supply chain resiliency; engineering of smart-product-service-systems of the future; lean and Six Sigma in services healthcare; new trends and challenges in reconfigurable, flexible or agile production system; production management in food supply chains; and sustainability in production planning and lot-sizing Part III: autonomous robots in delivery logistics; digital transformation approaches in production management; finance-driven supply chain; gastronomic service system design; modern scheduling and applications in industry 4.0; recent advances in sustainable manufacturing; regular session: green production and circularity concepts; regular session: improvement models and methods for green and innovative systems; regular session: supply chain and routing management; regular session: robotics and human aspects; regular session: classification and data management methods; smart supply chain and production in society 5.0 era; and supply chain risk management under coronavirus Part IV: AI for resilience in global supply chain networks in the context of pandemic disruptions; blockchain in the operations and supply chain management; data-based services as key enablers for smart products, manufacturing and assembly; data-driven methods for supply chain optimization; digital twins based on systems engineering and semantic modeling; digital twins in companies first developments and future challenges; human-centered artificial intelligence in smart manufacturing for the operator 4.0; operations management in engineer-to-order manufacturing; product and asset life cycle management for smart and sustainable manufacturing systems; robotics technologies for control, smart manufacturing and logistics; serious games analytics: improving games and learning support; smart and sustainable production and supply chains; smart methods and techniques for sustainable supply chain management; the new digital lean manufacturing paradigm; and the role of emerging technologies in disaster relief operations: lessons from COVID-19 Part V: data-driven platforms and applications in production and logistics: digital twins and AI for sustainability; regular session: new approaches for routing problem solving; regular session: improvement of design and operation of manufacturing systems; regular session: crossdock and transportation issues; regular session: maintenance improvement and lifecycle management; regular session: additive manufacturing and mass customization; regular session: frameworks and conceptual modelling for systems and services efficiency; regular session: optimization of production and transportation systems; regular session: optimization of supply chain agility and reconfigurability; regular session: advanced modelling approaches; regular session: simulation and optimization of systems performances; regular session: AI-based approaches for quality and performance improvement of production systems; and regular session: risk and performance management of supply chains *The conference was held online.

Computer Aided Production Engineering

Computer Aided Production Engineering
Author: Hongzan Bin
Publsiher: John Wiley & Sons
Total Pages: 480
Release: 2001-12-21
ISBN 10: 9781860583674
ISBN 13: 1860583679
Language: EN, FR, DE, ES & NL

Computer Aided Production Engineering Book Review:

Innovation in all aspects of mechanical engineering and management Computer Aided Production Engineering is a compilation of papers presented at the 17th International CAPE Conference in 2001. Featuring the work of leading innovators from academia and industry, this book explores the forefront of mechanical engineering technology and practices to provide insight for today and direction for tomorrow. Broad in scope yet rich in detail, these papers cover topics ranging from supply chain management, nontraditional processes, and quality control, to machining processes, concurrent design and engineering, rapid prototyping, virtual reality applications, and much more.

Artificial Intelligence and Digital Systems Engineering

Artificial Intelligence and Digital Systems Engineering
Author: Adedeji B. Badiru
Publsiher: CRC Press
Total Pages: 128
Release: 2021-08-11
ISBN 10: 1000472515
ISBN 13: 9781000472516
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Digital Systems Engineering Book Review:

The resurgence of artificial intelligence has been fueled by the availability of the present generation of high-performance computational tools and techniques. This book is designed to provide introductory guidance to artificial intelligence, particularly from the perspective of digital systems engineering. Artificial Intelligence and Digital Systems Engineering provides a general introduction to the origin of AI and covers the wide application areas and software and hardware interfaces. It will prove to be instrumental in helping new users expand their knowledge horizon to the growing market of AI tools, as well as showing how AI is applicable to the development of games, simulation, and consumer products, particularly using artificial neural networks. This book is for the general reader, university students, and instructors of industrial, production, civil, mechanical, and manufacturing engineering. It will also be of interest to managers of technology, projects, business, plants, and operations.

Computational Methods and Production Engineering

Computational Methods and Production Engineering
Author: J Paulo Davim
Publsiher: Woodhead Publishing
Total Pages: 242
Release: 2017-05-25
ISBN 10: 0857094823
ISBN 13: 9780857094827
Language: EN, FR, DE, ES & NL

Computational Methods and Production Engineering Book Review:

Computational Methods and Production Engineering: Research and Development is an original book publishing refereed, high quality articles with a special emphasis on research and development in production engineering and production organization for modern industry. Innovation and the relationship between computational methods and production engineering are presented. Contents include: Finite Element method (FEM) modeling/simulation; Artificial neural networks (ANNs); Genetic algorithms; Evolutionary computation; Fuzzy logic; neuro-fuzzy systems; Particle swarm optimization (PSO); Tabu search and simulation annealing; and optimization techniques for complex systems. As computational methods currently have several applications, including modeling manufacturing processes, monitoring and control, parameters optimization and computer-aided process planning, this book is an ideal resource for practitioners. Presents cutting-edge computational methods for production engineering Explores the relationship between applied computational methods and production engineering Presents new innovations in the field Edited by a key researcher in the field

Applications of Artificial Intelligence in Additive Manufacturing

Applications of Artificial Intelligence in Additive Manufacturing
Author: Sachin Salunkhe,Hussein Mohammed Abdel Moneam Hussein,J. Paulo Davim
Publsiher: Engineering Science Reference
Total Pages: 272
Release: 2021-10-30
ISBN 10: 9781799885160
ISBN 13: 179988516X
Language: EN, FR, DE, ES & NL

Applications of Artificial Intelligence in Additive Manufacturing Book Review:

"This book provides introductory instruction on how to learn how to use artificial intelligence to produce additively manufactured parts, including a description of the starting points, what you can know, how it blends and how artificial intelligence in additive manufacturing apply"--

Intelligent Systems in Production Engineering and Maintenance ISPEM 2017

Intelligent Systems in Production Engineering and Maintenance     ISPEM 2017
Author: Anna Burduk,Dariusz Mazurkiewicz
Publsiher: Springer
Total Pages: 470
Release: 2017-08-16
ISBN 10: 3319644653
ISBN 13: 9783319644653
Language: EN, FR, DE, ES & NL

Intelligent Systems in Production Engineering and Maintenance ISPEM 2017 Book Review:

The volume presents a collection of 44 peer-reviewed articles from the First International Conference on Intelligent Systems in Production Engineering and Maintenance (ISPEM 2017). ISPEM 2017 was organized by the Faculty of Mechanical Engineering, Wrocław University of Science and Technology and was held in Wrocław (Poland) on 28–29 September 2017. The main topics of the conference included the possibility of using widely understood intelligent methods in production engineering. New solutions for innovative plants, research results and case studies taking into account advances in production and maintenance from the point of view of Industry 4.0 were presented and discussed—with special attention paid to applications of intelligent systems, methods and tools in production engineering, maintenance, logistics, quality management, information systems, and product development. The volume is divided into two parts: 1. Intelligent Systems in Production Engineering 2. Intelligent Systems in Maintenance This book is an excellent reference resource for scientists in the field of manufacturing engineering and for top managers in production enterprises.

Machine Learning Applications in Non Conventional Machining Processes

Machine Learning Applications in Non Conventional Machining Processes
Author: Bose, Goutam Kumar,Pain, Pritam
Publsiher: IGI Global
Total Pages: 313
Release: 2021-02-05
ISBN 10: 1799836266
ISBN 13: 9781799836261
Language: EN, FR, DE, ES & NL

Machine Learning Applications in Non Conventional Machining Processes Book Review:

Traditional machining has many limitations in today’s technology-driven world, which has caused industrial professionals to begin implementing various optimization techniques within their machining processes. The application of methods including machine learning and genetic algorithms has recently transformed the manufacturing industry and created countless opportunities in non-traditional machining methods. Significant research in this area, however, is still considerably lacking. Machine Learning Applications in Non-Conventional Machining Processes is a collection of innovative research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field. While highlighting topics including evolutionary algorithms, micro-machining, and artificial neural networks, this book is ideally designed for researchers, academicians, engineers, managers, developers, practitioners, industrialists, and students seeking current research on intelligence-based machining processes in today’s technology-driven market.

Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology

Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology
Author: Dimitris Mourtzis
Publsiher: Elsevier
Total Pages: 406
Release: 2021-11-12
ISBN 10: 0128236582
ISBN 13: 9780128236581
Language: EN, FR, DE, ES & NL

Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology Book Review:

Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology draws on the latest industry advances to provide everything needed for the effective implementation of this powerful tool. Shorter product lifecycles have increased pressure on manufacturers through the increasing variety and complexity of production, challenging their workforce to remain competitive and profitable. This has led to innovation in production network methodologies, which together with opportunities provided by new digital technologies has fed a rapid evolution of production engineering that has opened new solutions to the challenges of mass personalization and market uncertainty. In addition to the latest developments in cloud technology, reference is made to key enabling technologies, including artificial intelligence, the digital twin, big data analytics, and the internet of things (IoT) to help users integrate the cloud approach with a fully digitalized production system. Presents diverse cases that show how cloud-based technologies can be used in different ways as part of the standard operation of global production networks Provides detailed reviews of new technologies like the digital twin, big data analytics, and blockchain to provide context on the role of cloud technologies in a fully digitalized system Explores future trends for cloud technology and production engineering

Advances in Industrial and Production Engineering

Advances in Industrial and Production Engineering
Author: Rakesh Kumar Phanden,K. Mathiyazhagan,Ravinder Kumar,J. Paulo Davim
Publsiher: Springer Nature
Total Pages: 976
Release: 2021-03-21
ISBN 10: 9813343206
ISBN 13: 9789813343207
Language: EN, FR, DE, ES & NL

Advances in Industrial and Production Engineering Book Review:

This book comprises the select proceedings of the 2nd International Conference on Future Learning Aspects of Mechanical Engineering (FLAME) 2020. In particular, this volume discusses different topics of industrial and production engineering such as sustainable manufacturing processes, logistics, Industry 4.0 practices, circular economy, lean six sigma, agile manufacturing, additive manufacturing, IoT and Big Data in manufacturing, 3D printing, simulation, manufacturing management and automation, surface roughness, multi-objective optimization and modelling for production processes, developments in casting, welding, machining, and machine tools. The contents of this book will be useful for researchers as well as industry professionals.

Applications of Artificial Intelligence in Engineering VI

Applications of Artificial Intelligence in Engineering VI
Author: George Rzevski,R.A. Adey
Publsiher: Springer Science & Business Media
Total Pages: 1052
Release: 2012-12-06
ISBN 10: 9401136483
ISBN 13: 9789401136488
Language: EN, FR, DE, ES & NL

Applications of Artificial Intelligence in Engineering VI Book Review:

This book contains papers presented at the sixth International Conference on Application of Artificial Intelligence in Engineering held in Oxford, UK in was held in Southampton, UK July 1991. The first conference in this series the second in Cambridge, Massachusetts, USA in 1987, the third in 1986, 1989 in Palo Alto, California, USA in 1988, the fourth in Cambridge, UK in and the fifth in Boston, Massachusetts, USA in 1990. The conference series has now established itself as the unique forum for the presentation of the latest research, development and application of artificial intelligence (AI) in all fields of engineering. Consequently, books of conference proceedings provide a historical record of the application of AI in engineering design, analysis, simulation, planning, scheduling, monitoring, control, diagnosis, reliability and quality, as well as in robotics and manufacturing systems, from the early beginnings to mature applications of today. Whilst previously the field was dominated by knowledge-based systems, in this latest volume, for the first time, a significant proportion of papers cover the paradigms of neural networks and genetic algorithms. Learning and self organising behaviour of systems based on these paradigms are particularly important in engineering applications. From a large number of submitted proposals over sixty papers have been selected by members of the Advisory Committee who acted as referees. Pa pers have been grouped under the following headings.