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Industrial Engineering in the Big Data Era

Fethi Calisir,Emre Cevikcan,Hatice Camgoz Akdag

Author : Fethi Calisir,Emre Cevikcan,Hatice Camgoz Akdag
Publisher : Springer
Page : 513 pages
File Size : 48,6 Mb
Release : 2019-01-23
Category : Technology & Engineering
ISBN : 9783030033170

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Industrial Engineering in the Big Data Era by Fethi Calisir,Emre Cevikcan,Hatice Camgoz Akdag Pdf

This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held in Nevsehir, Turkey, on June 21-22, 2018. They reports on industrial engineering methods and applications, with a special focus on the advantages and challenges posed by Big data in this field. The book covers a wide range of topics, including decision making, optimization, supply chain management and quality control.

Industrial Engineering in the Big Data Era

Fethi Çalışır,Emre Cevikcan,Hatice Camgoz Akdag

Author : Fethi Çalışır,Emre Cevikcan,Hatice Camgoz Akdag
Publisher : Unknown
Page : 128 pages
File Size : 42,8 Mb
Release : 2019
Category : Industrial engineering
ISBN : 303003318X

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Industrial Engineering in the Big Data Era by Fethi Çalışır,Emre Cevikcan,Hatice Camgoz Akdag Pdf

This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held in Nevsehir, Turkey, on June 21-22, 2018. They reports on industrial engineering methods and applications, with a special focus on the advantages and challenges posed by Big data in this field. The book covers a wide range of topics, including decision making, optimization, supply chain management and quality control.

Industrial Engineering in the Digital Disruption Era

Fethi Calisir,Orhan Korhan

Author : Fethi Calisir,Orhan Korhan
Publisher : Springer Nature
Page : 382 pages
File Size : 47,7 Mb
Release : 2020-03-16
Category : Technology & Engineering
ISBN : 9783030424169

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Industrial Engineering in the Digital Disruption Era by Fethi Calisir,Orhan Korhan Pdf

This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held on September 2–3, 2019, in Gazimagusa, North Cyprus, Turkey. It covers a wide range of topics, including decision analysis, supply chain management, systems modelling and quality control. Further, special emphasis is placed on the state of the art and the challenges of digital disruption, as well as effective strategies that can be used to change organizational structures and eliminate the barriers that are keeping industries from taking full advantage of today’s digital technologies.

Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems

Rui Yang,Maiying Zhong

Author : Rui Yang,Maiying Zhong
Publisher : CRC Press
Page : 87 pages
File Size : 51,7 Mb
Release : 2022-06-16
Category : Technology & Engineering
ISBN : 9781000594935

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Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems by Rui Yang,Maiying Zhong Pdf

This book provides advanced techniques for precision compensation and fault diagnosis of precision motion systems and rotating machinery. Techniques and applications through experiments and case studies for intelligent precision compensation and fault diagnosis are offered along with the introduction of machine learning and deep learning methods. Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems discusses how to formulate and solve precision compensation and fault diagnosis problems. The book includes experimental results on hardware equipment used as practical examples throughout the book. Machine learning and deep learning methods used in intelligent precision compensation and intelligent fault diagnosis are introduced. Applications to deal with relevant problems concerning CNC machining and rotating machinery in industrial engineering systems are provided in detail along with applications used in precision motion systems. Methods, applications, and concepts offered in this book can help all professional engineers and students across many areas of engineering and operations management that are involved in any part of Industry 4.0 transformation.

Industrial Engineering in the Industry 4.0 Era

Fethi Calisir,Hatice Camgoz Akdag

Author : Fethi Calisir,Hatice Camgoz Akdag
Publisher : Springer
Page : 278 pages
File Size : 42,7 Mb
Release : 2017-12-28
Category : Technology & Engineering
ISBN : 9783319712253

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Industrial Engineering in the Industry 4.0 Era by Fethi Calisir,Hatice Camgoz Akdag Pdf

This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held in Vienna on July 20-21, 2017. They offer a snapshot of the current state of the art in three main related fields of research, namely industrial engineering, engineering and technology management, and healthcare systems engineering management. The book is intended to integrate theory and practice and to merge different perspectives, from the academic to the industrial and governmental one.

Industrial Engineering in the Internet-of-Things World

Fethi Calisir

Author : Fethi Calisir
Publisher : Springer Nature
Page : 486 pages
File Size : 45,9 Mb
Release : 2021-08-07
Category : Technology & Engineering
ISBN : 9783030767242

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Industrial Engineering in the Internet-of-Things World by Fethi Calisir Pdf

This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), organized virtually on August 14–15, 2020, by Istanbul Technical University. It covers a wide range of topics, including decision analysis, supply chain management, systems modelling and quality control. Further, special emphasis is placed on cutting-edge applications of industrial Internet-of-Things. Technological, economic and business challenges are discussed in detail, presenting effective strategies that can be used to modernize current structures, eliminating the barriers that are keeping industries from taking full advantage of IoT technologies. The book offers an important link between technological research and industry best practices, and covers various disciplinary areas such as manufacturing, healthcare and service engineering, among others.

Proceedings on 25th International Joint Conference on Industrial Engineering and Operations Management – IJCIEOM

Zoran Anisic,Bojan Lalic,Danijela Gracanin

Author : Zoran Anisic,Bojan Lalic,Danijela Gracanin
Publisher : Springer Nature
Page : 548 pages
File Size : 55,5 Mb
Release : 2020-03-20
Category : Technology & Engineering
ISBN : 9783030436162

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Proceedings on 25th International Joint Conference on Industrial Engineering and Operations Management – IJCIEOM by Zoran Anisic,Bojan Lalic,Danijela Gracanin Pdf

This book presents the conference proceedings of the 25th edition of the International Joint Conference on Industrial Engineering and Operations Management. The conference is organized by 6 institutions (from different countries and continents) that gather a large number of members in the field of operational management, industrial engineering and engineering management. This edition of the conference had the title: THE NEXT GENERATION OF PRODUCTION AND SERVICE SYSTEMS in order to emphasis unpredictable and very changeable future. This conference is aimed to enhance connection between academia and industry and to gather researchers and practitioners specializing in operation management, industrial engineering, engineering management and other related disciplines from around the world.

Big Data Analytics for Cyber-Physical System in Smart City

Mohammed Atiquzzaman,Neil Yen,Zheng Xu

Author : Mohammed Atiquzzaman,Neil Yen,Zheng Xu
Publisher : Springer Nature
Page : 2049 pages
File Size : 45,5 Mb
Release : 2020-01-11
Category : Technology & Engineering
ISBN : 9789811525681

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Big Data Analytics for Cyber-Physical System in Smart City by Mohammed Atiquzzaman,Neil Yen,Zheng Xu Pdf

This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems

Yaguo Lei,Naipeng Li,Xiang Li

Author : Yaguo Lei,Naipeng Li,Xiang Li
Publisher : Springer Nature
Page : 292 pages
File Size : 44,8 Mb
Release : 2022-10-19
Category : Technology & Engineering
ISBN : 9789811691317

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Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems by Yaguo Lei,Naipeng Li,Xiang Li Pdf

This book presents systematic overviews and bright insights into big data-driven intelligent fault diagnosis and prognosis for mechanical systems. The recent research results on deep transfer learning-based fault diagnosis, data-model fusion remaining useful life (RUL) prediction, etc., are focused on in the book. The contents are valuable and interesting to attract academic researchers, practitioners, and students in the field of prognostics and health management (PHM). Essential guidelines are provided for readers to understand, explore, and implement the presented methodologies, which promote further development of PHM in the big data era. Features: Addresses the critical challenges in the field of PHM at present Presents both fundamental and cutting-edge research theories on intelligent fault diagnosis and prognosis Provides abundant experimental validations and engineering cases of the presented methodologies

Proceedings of the 23rd International Conference on Industrial Engineering and Engineering Management 2016

Ershi Qi,Jiang Shen,Runliang Dou

Author : Ershi Qi,Jiang Shen,Runliang Dou
Publisher : Springer
Page : 309 pages
File Size : 42,6 Mb
Release : 2017-03-07
Category : Technology & Engineering
ISBN : 9789462392557

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Proceedings of the 23rd International Conference on Industrial Engineering and Engineering Management 2016 by Ershi Qi,Jiang Shen,Runliang Dou Pdf

International Conference on Industrial Engineering and Engineering Management is sponsored by Chinese Industrial Engineering Institution, CMES, which is the unique national-level academic society of Industrial Engineering. The conference is held annually as the major event in this area. Being the largest and the most authoritative international academic conference held in China, it supplies an academic platform for the experts and the entrepreneurs in International Industrial Engineering and Management area to exchange their research results. Many experts in various fields from China and foreign countries gather together in the conference to review, exchange, summarize and promote their achievements in Industrial Engineering and Engineering Management fields. Some experts pay special attention to the current situation of the related techniques application in China as well as their future prospect, such as Industry 4.0, Green Product Design, Quality Control and Management, Supply Chain and logistics Management to cater for the purpose of low-carbon, energy-saving and emission-reduction and so on. They also come up with their assumption and outlook about the related techniques' development. The proceedings will offer theatrical methods and technique application cases for experts from college and university, research institution and enterprises who are engaged in theoretical research of Industrial Engineering and Engineering Management and its technique's application in China. As all the papers are feathered by higher level of academic and application value, they also provide research data for foreign scholars who occupy themselves in investigating the enterprises and engineering management of Chinese style.

Data Analytics in the Era of the Industrial Internet of Things

Aldo Dagnino

Author : Aldo Dagnino
Publisher : Springer Nature
Page : 141 pages
File Size : 55,5 Mb
Release : 2021-02-05
Category : Computers
ISBN : 9783030631390

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Data Analytics in the Era of the Industrial Internet of Things by Aldo Dagnino Pdf

This book presents the characteristics and benefits industrial organizations can reap from the Industrial Internet of Things (IIoT). These characteristics and benefits include enhanced competitiveness, increased proactive decision-making, improved creativity and innovation, augmented job creation, heightened agility to respond to continuously changing challenges, and intensified data-driven decision making. In a straightforward fashion, the book also helps readers understand complex concepts that are core to IIoT enterprises, such as Big Data, analytic architecture platforms, machine learning (ML) and data science algorithms, and the power of visualization to enrich the domains experts’ decision making. The book also guides the reader on how to think about ways to define new business paradigms that the IIoT facilitates, as well how to increase the probability of success in managing analytic projects that are the core engine of decision-making in the IIoT enterprise. The book starts by defining an IIoT enterprise and the framework used to efficiently operate. A description of the concepts of industrial analytics, which is a major engine for decision making in the IIoT enterprise, is provided. It then discusses how data and machine learning (ML) play an important role in increasing the competitiveness of industrial enterprises that operate using the IIoT technology and business concepts. Real world examples of data driven IIoT enterprises and various business models are presented and a discussion on how the use of ML and data science help address complex decision-making problems and generate new job opportunities. The book presents in an easy-to-understand manner how ML algorithms work and operate on data generated in the IIoT enterprise. Useful for any industry professional interested in advanced industrial software applications, including business managers and professionals interested in how data analytics can help industries and to develop innovative business solutions, as well as data and computer scientists who wish to bridge the analytics and computer science fields with the industrial world, and project managers interested in managing advanced analytic projects.

Optimization and Control for Systems in the Big-Data Era

Tsan-Ming Choi,Jianjun Gao,James H. Lambert,Chi-Kong Ng,Jun Wang

Author : Tsan-Ming Choi,Jianjun Gao,James H. Lambert,Chi-Kong Ng,Jun Wang
Publisher : Springer
Page : 280 pages
File Size : 53,9 Mb
Release : 2017-05-04
Category : Business & Economics
ISBN : 9783319535180

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Optimization and Control for Systems in the Big-Data Era by Tsan-Ming Choi,Jianjun Gao,James H. Lambert,Chi-Kong Ng,Jun Wang Pdf

This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization, control and resilience management that can be applied to further success. In both business operations and engineering applications, there are huge amounts of data that can overwhelm computing resources of large-scale systems. This “big data” provides new opportunities to improve decision making and addresses risk for individuals as well in organizations. While utilizing data smartly can enhance decision making, how to use and incorporate data into the decision making framework remains a challenging topic. Ultimately the chapters in this book present new models and frameworks to help overcome this obstacle. Optimization and Control for Systems in the Big-Data Era: Theory and Applications is divided into five parts. Part I offers reviews on optimization and control theories, and Part II examines the optimization and control applications. Part III provides novel insights and new findings in the area of financial optimization analysis. The chapters in Part IV deal with operations analysis, covering flow-shop operations and quick response systems. The book concludes with final remarks and a look to the future of big data related optimization and control problems.

Proceedings of the 22nd International Conference on Industrial Engineering and Engineering Management 2015

Ershi Qi,Jiang Shen,Runliang Dou

Author : Ershi Qi,Jiang Shen,Runliang Dou
Publisher : Springer
Page : 947 pages
File Size : 45,9 Mb
Release : 2016-01-29
Category : Technology & Engineering
ISBN : 9789462391802

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Proceedings of the 22nd International Conference on Industrial Engineering and Engineering Management 2015 by Ershi Qi,Jiang Shen,Runliang Dou Pdf

Being the premier forum for the presentation of new advances and research results in the fields of Industrial Engineering, IEEM 2015 aims to provide a high-level international forum for experts, scholars and entrepreneurs at home and abroad to present the recent advances, new techniques and applications face and face, to promote discussion and interaction among academics, researchers and professionals to promote the developments and applications of the related theories and technologies in universities and enterprises, and to establish business or research relations to find global partners for future collaboration in the field of Industrial Engineering. All the goals of the international conference are to fulfill the mission of the series conference which is to review, exchange, summarize and promote the latest achievements in the field of industrial engineering and engineering management over the past year, and to propose prospects and vision for the further development. This volume is the first of the two proceedings volumes from this conference.

Engineering Analytics

Luis Rabelo,Edgar Gutierrez-Franco,Alfonso Sarmiento,Christopher Mejía-Argueta

Author : Luis Rabelo,Edgar Gutierrez-Franco,Alfonso Sarmiento,Christopher Mejía-Argueta
Publisher : CRC Press
Page : 282 pages
File Size : 44,6 Mb
Release : 2021-09-27
Category : Technology & Engineering
ISBN : 9781000453751

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Engineering Analytics by Luis Rabelo,Edgar Gutierrez-Franco,Alfonso Sarmiento,Christopher Mejía-Argueta Pdf

Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning can be totally transformed through massive volumes of data. This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers. Basic methods in the areas of visual, descriptive, predictive, and prescriptive analytics and Big Data are introduced. Industrial case studies and example problem demonstrations are used throughout the book to reinforce the concepts and applications. The book goes on to cover visual analytics and its relationships, simulation from the respective dimensions and Machine Learning and Artificial Intelligence from different paradigms viewpoints. The book is intended for professionals wanting to work on analytical problems, for Engineering students, Researchers, Chief-Technology Officers, and Directors that work within the areas and fields of Industrial Engineering, Computer Science, Statistics, Electrical Engineering Operations Research, and Big Data.

Big Data Analytics

Kiran Chaudhary,Mansaf Alam

Author : Kiran Chaudhary,Mansaf Alam
Publisher : CRC Press
Page : 276 pages
File Size : 54,5 Mb
Release : 2021-12-27
Category : Business & Economics
ISBN : 9781000523553

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Big Data Analytics by Kiran Chaudhary,Mansaf Alam Pdf

Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well as future research directions. It also examines how this emerging field could be extended to performance management and decision-making. Investment in business and marketing analytics can create value through proper allocation of resources and resource orchestration process. The use of data analytics tools can be used to diagnose and improve performance. The book is divided into five parts. The first part introduces data science, big data, and data analytics. The second part focuses on applications of business analytics including: Big data analytics and algorithm Market basket analysis Anticipating consumer purchase behavior Variation in shopping patterns Big data analytics for market intelligence The third part looks at business intelligence and features an evaluation study of churn prediction models for business Intelligence. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and of consumer behavior. The book concludes with digital marketing, marketing by consumer analytics, web analytics for digital marketing, and smart retailing. This book covers the concepts, applications and research trends of marketing and business analytics with the aim of helping organizations increase profitability by improving decision-making through data analytics.

Industrial Engineering In The Big Data Era

Industrial Engineering in the Big Data Era by Fethi Calisir,Emre Cevikcan,Hatice Camgoz Akdag Pdf

Industrial Engineering in the Big Data Era by Fethi Çalışır,Emre Cevikcan,Hatice Camgoz Akdag Pdf

Industrial Engineering in the Digital Disruption Era by Fethi Calisir,Orhan Korhan Pdf

Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems by Rui Yang,Maiying Zhong Pdf

Industrial Engineering in the Industry 4.0 Era by Fethi Calisir,Hatice Camgoz Akdag Pdf

Industrial Engineering in the Internet-of-Things World by Fethi Calisir Pdf

Proceedings on 25th International Joint Conference on Industrial Engineering and Operations Management – IJCIEOM by Zoran Anisic,Bojan Lalic,Danijela Gracanin Pdf

Big Data Analytics for Cyber-Physical System in Smart City by Mohammed Atiquzzaman,Neil Yen,Zheng Xu Pdf

Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems by Yaguo Lei,Naipeng Li,Xiang Li Pdf

Proceedings of the 23rd International Conference on Industrial Engineering and Engineering Management 2016 by Ershi Qi,Jiang Shen,Runliang Dou Pdf

Data Analytics in the Era of the Industrial Internet of Things by Aldo Dagnino Pdf

Optimization and Control for Systems in the Big-Data Era by Tsan-Ming Choi,Jianjun Gao,James H. Lambert,Chi-Kong Ng,Jun Wang Pdf

Proceedings of the 22nd International Conference on Industrial Engineering and Engineering Management 2015 by Ershi Qi,Jiang Shen,Runliang Dou Pdf

Engineering Analytics by Luis Rabelo,Edgar Gutierrez-Franco,Alfonso Sarmiento,Christopher Mejía-Argueta Pdf

Big Data Analytics by Kiran Chaudhary,Mansaf Alam Pdf

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