December 2, 2020

Download Ebook Free Artificial Intelligence In Manufacturing And Production Engineering

Artificial Intelligence

Artificial Intelligence
Author : United States. Army Materiel Command
Publisher : Unknown
Release Date : 1988
Category : Artificial intelligence
Total pages :110
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Handbook of Computational Intelligence in Manufacturing and Production Management

Handbook of Computational Intelligence in Manufacturing and Production Management
Author : Laha, Dipak,Mandal, Purnendu
Publisher : IGI Global
Release Date : 2007-11-30
Category : Computers
Total pages :516
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During the last two decades, computer and information technologies have forced great changes in the ways businesses manage operations in meeting the desired quality of products and services, customer demands, competition, and other challenges. The Handbook of Computational Intelligence in Manufacturing and Production Management focuses on new developments in computational intelligence in areas such as forecasting, scheduling, production planning, inventory control, and aggregate planning, among others. This comprehensive collection of research provides cutting-edge knowledge on information technology developments for both researchers and professionals in fields such as operations and production management, Web engineering, artificial intelligence, and information resources management.

Innovative Product Design and Intelligent Manufacturing Systems

Innovative Product Design and Intelligent Manufacturing Systems
Author : BBVL. Deepak,DRK Parhi,Pankaj C. Jena
Publisher : Springer Nature
Release Date : 2020-03-13
Category : Technology & Engineering
Total pages :1100
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This book gathers selected research articles from the International Conference on Innovative Product Design and Intelligent Manufacturing System (ICIPDIMS 2019), held at the National Institute of Technology, Rourkela, India. The book discusses latest methods and advanced tools from different areas of design and manufacturing technology. The main topics covered include design methodologies, industry 4.0, smart manufacturing, and advances in robotics among others. The contents of this book are useful for academics as well as professionals working in industrial design, mechatronics, robotics, and automation.

Artificial Intelligence in Manufacturing

Artificial Intelligence in Manufacturing
Author : G. Rzevski,R.A. Adey
Publisher : Springer
Release Date : 1989-07-20
Category : Computers
Total pages :468
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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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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.

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.

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.

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.

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.

Handbook of Expert Systems Applications in Manufacturing Structures and rules

Handbook of Expert Systems Applications in Manufacturing Structures and rules
Author : A. Mital,S. Anand
Publisher : Springer Science & Business Media
Release Date : 2013-03-08
Category : Science
Total pages :397
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This book is aimed at both researchers and practitioners, and provides a collection of expert systems in manufacturing and production engineering along with their knowledge base and rules. We believe that inclusion of the knowledge base and associated rules is essential if practitioners are to derive full benefit from these expert systems. This unique book is the result of our belief and the efforts of our distinguished colleagues who subscribe to this philosophy. A total of 15 different expert systems are included in this book. These expert systems are preceded by an introductory chapter written by Kuo, Preface XVll Mital and Anand. The expert system rules are included on a floppy disk in ASCII and can be easily accessed. These rules and the description of the expert system's structure should assist the users in customizing these systems. Overall, the expert systems included in this volume cover a fairly wide variety of manufacturing and production engineering topics.

Smart Agents for the Industry 4.0

Smart Agents for the Industry 4.0
Author : Max Hoffmann
Publisher : Springer Nature
Release Date : 2019-09-11
Category : Computers
Total pages :318
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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.

Computer Applications in Production Engineering

Computer Applications in Production Engineering
Author : Qiangnan Sun,Zesheng Tang,Yijun Zhang
Publisher : Springer
Release Date : 2016-02-02
Category : Technology & Engineering
Total pages :899
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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.

Applications of Artificial Intelligence Techniques in the Petroleum Industry

Applications of Artificial Intelligence Techniques in the Petroleum Industry
Author : Abdolhossein Hemmati Sarapardeh,Aydin Larestani,Nait Amar Menad,Sassan Hajirezaie
Publisher : Gulf Professional Publishing
Release Date : 2020-08-26
Category : Science
Total pages :322
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Applications of Artificial Intelligence Techniques in the Petroleum Industry gives engineers a critical resource to help them understand the machine learning that will solve specific engineering challenges. The reference begins with fundamentals, covering preprocessing of data, types of intelligent models, and training and optimization algorithms. The book moves on to methodically address artificial intelligence technology and applications by the upstream sector, covering exploration, drilling, reservoir and production engineering. Final sections cover current gaps and future challenges. Teaches how to apply machine learning algorithms that work best in exploration, drilling, reservoir or production engineering Helps readers increase their existing knowledge on intelligent data modeling, machine learning and artificial intelligence, with foundational chapters covering the preprocessing of data and training on algorithms Provides tactics on how to cover complex projects such as shale gas, tight oils, and other types of unconventional reservoirs with more advanced model input