June 15, 2021

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Artificial Intelligence in Mechanical and Industrial Engineering

Artificial Intelligence in Mechanical and Industrial Engineering
Author : Kaushik Kumar,Divya Zindani,J. Paulo Davim
Publisher : CRC Press
Release Date : 2021-06-21
Category : Computers
Total pages :156
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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.

Artificial Intelligence Applications in Manufacturing

Artificial Intelligence Applications in Manufacturing
Author : A. Fazel Famili,Dana S. Nau,Steven H. Kim
Publisher : Menlo Press, Calif. : AAAI Press/MIT Press
Release Date : 1992
Category : Computers
Total pages :455
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The past decade has seen considerable advances in CAE tools that employ leading-edge artificial intelligence techniques and that can be used with CAD/CAM tools to reduce design costs. In three parts, this book covers current Al applications that can prove beneficial in the design and planning stages of manufacturing, that can assist in solving scheduling and control problems, and that can be used in manufacturing integration.A. F. Famili is Research Scientist at the Knowledge Systems Laboratory of the National Research Council of Canada. Steven H. Kim is Visiting Fellow at the Design Research Institute, Cornell University. Dana S. Nau an Associate Professor in the Computer Science Department at the University of Maryland.Contents: Application of Machine Learning to Industrial Planning and Decision Making. Incorporating Special Purpose Resource Design in Planning to Make More Efficient Plans. Geometric Reasoning Using a Feature Algebra. Backward Assembly Planning Symmetry Groups in Solid Model-Based Assembly Planning. An Expert System Approach for Economic Evaluation of Machining Operation Planning. Interactive Problem Solving for Production Planning. An Abstraction-Based Search and Learning Approach for Effective Scheduling. ADDYMS: Architecture for Distributed Dynamic Manufacturing Scheduling. An Architecture for Real Time Distributed Scheduling. Teamwork Among Intelligent Agents: Framework and Case Study in Robotic Service. Exploiting Local Flexibility During Execution of Precomputed Schedules. Symbolic Representation and Planning for Robot Control Systems in Manufacturing. An Architecture for Integrating Enterprise Automation. An Intelligent Agent Framework for Enterprise Integration. Integrated Software System for Intelligent Manufacturing. Enterprise Management Network Architecture: A Tool for Manufacturing Enterprise Integration. Design and Manufacturing: Integration through Quality.

Artificial Intelligence Abstracts

Artificial Intelligence Abstracts
Author : Anonim
Publisher : Unknown
Release Date : 1991
Category : Artificial intelligence
Total pages :129
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Industrial and Engineering Applications or Artificial Intelligence and Expert Systems

Industrial and Engineering Applications or Artificial Intelligence and Expert Systems
Author : Takushi Tanaka,Moonis Ali,Setsuo Ohsuga
Publisher : CRC Press
Release Date : 1997-01-30
Category : Computers
Total pages :808
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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. Many innovative artificial intelligence (AI) systems have emerged as the result of engineering machines to think like humans and perform intelligent functions. However, only recently have intelligent systems been applied to solve real life problems.

Computer Aided Production Engineering

Computer Aided Production Engineering
Author : Hongzan Bin
Publisher : John Wiley & Sons
Release Date : 2001-12-21
Category : Technology & Engineering
Total pages :480
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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.

Multi-Agent-Based Production Planning and Control

Multi-Agent-Based Production Planning and Control
Author : Jie Zhang
Publisher : John Wiley & Sons
Release Date : 2017-05-09
Category : Technology & Engineering
Total pages :440
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At the crossroads of artificial intelligence, manufacturing engineering, operational research and industrial engineering and management, multi-agent based production planning and control is an intelligent and industrially crucial technology with increasing importance. This book provides a complete overview of multi-agent based methods for today’s competitive manufacturing environment, including the Job Shop Manufacturing and Re-entrant Manufacturing processes. In addition to the basic control and scheduling systems, the author also highlights advance research in numerical optimization methods and wireless sensor networks and their impact on intelligent production planning and control system operation. Enables students, researchers and engineers to understand the fundamentals and theories of multi-agent based production planning and control Written by an author with more than 20 years’ experience in studying and formulating a complete theoretical system in production planning technologies Fully illustrated throughout, the methods for production planning, scheduling and controlling are presented using experiments, numerical simulations and theoretical analysis Comprehensive and concise, Multi-Agent Based Production Planning and Control is aimed at the practicing engineer and graduate student in industrial engineering, operational research, and mechanical engineering. It is also a handy guide for advanced students in artificial intelligence and computer engineering.

Machine Learning in the Oil and Gas Industry

Machine Learning in the Oil and Gas Industry
Author : Yogendra Narayan Pandey,Ayush Rastogi,Sribharath Kainkaryam,Srimoyee Bhattacharya,Luigi Saputelli
Publisher : Apress
Release Date : 2020-11-03
Category : Computers
Total pages :300
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Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters provide a primer on the Python programming language used for implementing the algorithms; this is followed by an overview of supervised and unsupervised machine learning concepts. The authors provide industry examples using open source data sets along with practical explanations of the algorithms, without diving too deep into the theoretical aspects of the algorithms employed. Machine Learning in the Oil and Gas Industry covers problems encompassing diverse industry topics, including geophysics (seismic interpretation), geological modeling, reservoir engineering, and production engineering. Throughout the book, the emphasis is on providing a practical approach with step-by-step explanations and code examples for implementing machine and deep learning algorithms for solving real-life problems in the oil and gas industry. What You Will Learn Understanding the end-to-end industry life cycle and flow of data in the industrial operations of the oil and gas industry Get the basic concepts of computer programming and machine and deep learning required for implementing the algorithms used Study interesting industry problems that are good candidates for being solved by machine and deep learning Discover the practical considerations and challenges for executing machine and deep learning projects in the oil and gas industry Who This Book Is For Professionals in the oil and gas industry who can benefit from a practical understanding of the machine and deep learning approach to solving real-life problems.

Artificial Intelligence

Artificial Intelligence
Author : Soundar T. Kumara,Allen L. Soyster,Rangasami Laksminarayana Kashyap
Publisher : Inst of Industrial Engineers
Release Date : 1988
Category : Technology & Engineering
Total pages :686
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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
Publisher : IGI Global
Release Date : 2010-03-31
Category : Computers
Total pages :407
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"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
Publisher : Springer
Release Date : 2018-07-31
Category : Computers
Total pages :785
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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.

Proceedings of International Conference on Intelligent Manufacturing and Automation

Proceedings of International Conference on Intelligent Manufacturing and Automation
Author : Hari Vasudevan,Vijaya Kumar N. Kottur,Amool A. Raina
Publisher : Springer Nature
Release Date : 2020-06-30
Category : Technology & Engineering
Total pages :859
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This book gathers selected papers presented at the Second International Conference on Intelligent Manufacturing and Automation (ICIMA 2020), which was jointly organized by the Departments of Mechanical Engineering and Production Engineering at Dwarkadas J. Sanghvi College of Engineering (DJSCE), Mumbai, and by the Indian Society of Manufacturing Engineers (ISME). Covering a range of topics in intelligent manufacturing, automation, advanced materials and design, it focuses on the latest advances in e.g. CAD/CAM/CAE/CIM/FMS in manufacturing, artificial intelligence in manufacturing, IoT in manufacturing, product design & development, DFM/DFA/FMEA, MEMS & nanotechnology, rapid prototyping, computational techniques, nano- & micro-machining, sustainable manufacturing, industrial engineering, manufacturing process management, modelling & optimization techniques, CRM, MRP & ERP, green, lean & agile manufacturing, logistics & supply chain management, quality assurance & environmental protection, advanced material processing & characterization of composite & smart materials. The book is intended as a reference guide for future researchers, and as a valuable resource for students in graduate and doctoral programmes.

Recent Trends in Applied Artificial Intelligence

Recent Trends in Applied Artificial Intelligence
Author : Moonis Ali,Tibor Bosse,Koen V. Hindriks,Mark Hoogendoorn,Catholijn M. Jonker,Jan Treur
Publisher : Springer
Release Date : 2013-05-20
Category : Computers
Total pages :697
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This volume constitutes the thoroughly refereed conference proceedings of the 26th International Conference on Industrial Engineering and Other Applications of Applied Intelligence Systems, IEA/AIE 2013, held in Amsterdam, The Netherlands, in June 2013. The total of 71 papers selected for the proceedings were carefully reviewed and selected from 185 submissions. The papers focus on the following topics: auctions and negotiation, cognitive modeling, crowd behavior modeling, distributed systems and networks, evolutionary algorithms, knowledge representation and reasoning, pattern recognition, planning, problem solving, robotics, text mining, advances in recommender systems, business process intelligence, decision support for safety-related systems, innovations in intelligent computation and applications, intelligent image and signal processing, and machine learning methods applied to manufacturing processes and production systems.

Industrial Engineering at The Pennsylvania State University, 1908-1988

Industrial Engineering at The Pennsylvania State University, 1908-1988
Author : Benjamin W. Niebel
Publisher : Unknown
Release Date : 1989
Category : Industrial engineering
Total pages :146
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Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management

Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management
Author : Lyes Benyoucef,Bernard Grabot
Publisher : Springer Science & Business Media
Release Date : 2010-05-10
Category : Computers
Total pages :508
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Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management addresses prominent concepts and applications of AI technologies in the management of networked manufacturing enterprises. The aim of this book is to align latest practices, innovation and case studies with academic frameworks and theories, where AI techniques are used efficiently for networked manufacturing enterprises. More specifically, it includes the latest research results and projects at different levels addressing quick-response system, theoretical performance analysis, performance and capability demonstration. The role of emerging AI technologies in the modelling, evaluation and optimisation of networked enterprises’ activities at different decision levels is also covered. Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management is a valuable guide for postgraduates and researchers in industrial engineering, computer science, automation and operations research.

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
Publisher : Elsevier
Release Date : 2021-11-15
Category : Technology & Engineering
Total pages :400
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Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology draws on research and the latest industry advances to provide everything needed for 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 lead to innovation in production network methodologies, which together with opportunities provided by new digital technologies has fed a rapid evolution of production engineering, opening 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 where appropriate to help integrate the cloud approach with a fully digitalized production system. By providing practical knowledge as well as important background theory, this book helps to avoid pitfalls such as malfunctions in real-time data exchange between the digital twin and the physical production system. Against a backdrop of significant digital transformation in manufacturing and production, this timely book provides a valuable framework for using these new technologies to provide increased efficiency and capability via mass-personalization. Presents diverse cases showing 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