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.

Reinventing Manufacturing and Business Processes Through Artificial Intelligence

Reinventing Manufacturing and Business Processes Through Artificial Intelligence
Author: Geeta Rana,Alex Khang,Ravindra Sharma,Alok Kumar Goel,Ashok Kumar Dubey
Publsiher: Unknown
Total Pages: 178
Release: 2021-12-15
ISBN 10: 9780367702090
ISBN 13: 0367702096
Language: EN, FR, DE, ES & NL

Reinventing Manufacturing and Business Processes Through Artificial Intelligence Book Review:

This edited book describes how newly emerging Artificial Intelligence (AI) technologies will provide unprecedented opportunities to penetrate technology and automation into everything we do, and at the same time, provide a huge playing field for businesses to develop newer models to capture market share. It establishes a milestone in understanding global transformational changes occurring in the manufacturing and corporate world due to AI and tries to find powerful and sophisticated solutions that will improve and streamline operations. Reinventing Manufacturing and Business Processes Through Artificial Intelligence will be of interest to students, researchers, and professionals of the AI community as well as interdisciplinary researchers.

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"--

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.

Industrial and Engineering Applications of Artificial Intelligence and Expert Systems

Industrial and Engineering Applications of Artificial Intelligence and Expert Systems
Author: M Ali,M Matthews,D Potter
Publsiher: CRC Press
Total Pages: 512
Release: 1997-10-28
ISBN 10: 9789056996154
ISBN 13: 9056996150
Language: EN, FR, DE, ES & NL

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

The field of artificial intelligence has been maturing for a number of years and has inspired many researchers to produce innovative intelligent systems to demonstrate the capability of intelligent machines and their success in solving human problems. Only recently, however, have intelligent systems shown progress in demonstrating success in real-life applications, particularly in industrial environments. Many organizations have successfully used at least some limited aspects of intelligent research in their day-to-day operations. The objectives of this volume are to focus on these real-life applications and report a comprehensive view of the theoretical and applied aspects of intelligent systems technology. The most recent work in industrial, commercial, military, and academic environments is summarized, including 61 state-of-the-art reports on active research applied to real world problems.

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.

Computer Applications in Production Engineering

Computer Applications in Production Engineering
Author: Qiangnan Sun,Zesheng Tang,Yijun Zhang
Publsiher: Springer
Total Pages: 899
Release: 2016-02-02
ISBN 10: 0387348794
ISBN 13: 9780387348797
Language: EN, FR, DE, ES & NL

Computer Applications in Production Engineering Book Review:

This volume reviews the latest global research results in computer applications. The book contains a selection of papers presented at the Fifth International Conference on Computer Applications in Production and Engineering, arranged by the International Federation for Information Processing and held in Beijing, China in May 1995.

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: 769
Release: 2021-08-31
ISBN 10: 303085874X
ISBN 13: 9783030858742
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.

Computational Intelligence in Manufacturing

Computational Intelligence in Manufacturing
Author: Kaushik Kumar,Ganesh M. Kakandikar,Paulo Davim
Publsiher: Woodhead Publishing
Total Pages: 262
Release: 2022-06-15
ISBN 10: 9780323918541
ISBN 13: 0323918549
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

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.

Artificial Intelligence in Design 91

Artificial Intelligence in Design  91
Author: J. S. Gero
Publsiher: Butterworth-Heinemann
Total Pages: 952
Release: 2014-05-23
ISBN 10: 1483164802
ISBN 13: 9781483164809
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Design 91 Book Review:

Artificial Intelligence in Design '91 is a collection of 47 papers from the First International Conference on Artificial Intelligence in Design held at Edinburgh in June 1991. The papers in this book are grouped into 13 headings, starting with a background of AI design systems and to which extent AI that results from being used as planning tool be applied to quality-oriented design processes in architecture. A constraint-driven approach to object-oriented design is also shown on real-world objects. The use of CADSYN in the structural design of buildings is examined, along with design-dependent knowledge and design-independent knowledge. Discussions on empowering designers with integrated design environments are given whereby design objects may be retrieved from catalogues without requiring users to form queries. Mention is given to automated adjustment of parameter values frequently used in computer routine applications. The book also introduces the Computer Aided Design (CAD) as applied to architecture. Design representation using data models, non-monotonic reasoning in design, and the cognitive aspects of design using empirical studies are discussed. Topics of the industrial applications of AI in design, such as the needed steps to develop a successful AI-based tool, and a review of the Castlemain Project and telecommunication distribution networks follow. This book is suitable for programmers, computer science students, and architects and engineers who use computers in their line of work.

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.

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.

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.

Smart Manufacturing

Smart Manufacturing
Author: Tan Yen Kheng
Publsiher: BoD – Books on Demand
Total Pages: 158
Release: 2021-01-14
ISBN 10: 1838810870
ISBN 13: 9781838810870
Language: EN, FR, DE, ES & NL

Smart Manufacturing Book Review:

Smart manufacturing uses big data, the Internet of things (IoT) and the Internet of Services (IoS), and flexible and dynamic workforces to cope with ever-increasing demand in low-volume, high-mix production. Companies worldwide are already pivoting towards dynamic and reconfigurable production as a smarter way to build and make things. As such, this book discusses the next generation of manufacturing, which will involve the transformational convergence of intelligent machines, powerful computing and analytics, and unprecedented networking of people, products, and services.

Production Engineering and Management under Fuzziness

Production Engineering and Management under Fuzziness
Author: Cengiz Kahraman,Mesut Yavuz
Publsiher: Springer
Total Pages: 605
Release: 2010-05-18
ISBN 10: 3642120520
ISBN 13: 9783642120527
Language: EN, FR, DE, ES & NL

Production Engineering and Management under Fuzziness Book Review:

Production engineering and management involve a series of planning and control activities in a production system. A production system can be as small as a shop with only one machine or as big as a global operation including many manufacturing plants, distribution centers, and retail locations in multiple continents. The product of a production system can also vary in complexity based on the material used, technology employed, etc. Every product, whether a pencil or an airplane, is produced in a system which depends on good management to be successful. Production management has been at the center of industrial engineering and management science disciplines since the industrial revolution. The tools and techniques of production management have been so successful that they have been adopted to various service industries, as well. The book is intended to be a valuable resource to undergraduate and graduate students interested in the applications of production management under fuzziness. The chapters represent all areas of production management and are organized to reflect the natural order of production management tasks. In all chapters, special attention is given to applicability and wherever possible, numerical examples are presented. While the reader is expected to have a fairly good understanding of the fuzzy logic, the book provides the necessary notation and preliminary knowledge needed in each chapter.

Advances in Artificial Intelligence Software and Systems Engineering

Advances in Artificial Intelligence  Software and Systems Engineering
Author: Tareq Ahram
Publsiher: Springer Nature
Total Pages: 615
Release: 2020-07-03
ISBN 10: 3030513289
ISBN 13: 9783030513283
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence Software and Systems Engineering Book Review:

This book addresses emerging issues concerning the integration of artificial intelligence systems in our daily lives. It focuses on the cognitive, visual, social and analytical aspects of computing and intelligent technologies, and highlights ways to improve the acceptance, effectiveness, and efficiency of said technologies. Topics such as responsibility, integration and training are discussed throughout. The book also reports on the latest advances in systems engineering, with a focus on societal challenges and next-generation systems and applications for meeting them. Based on the AHFE 2020 Virtual Conference on Software and Systems Engineering, and the AHFE 2020 Virtual Conference on Artificial Intelligence and Social Computing, held on July 16–20, 2020, it provides readers with extensive information on current research and future challenges in these fields, together with practical insights into the development of innovative services for various purposes.

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

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.