Data Driven Optimization Of Manufacturing Processes

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Data-Driven Optimization of Manufacturing Processes

Kalita, Kanak,Ghadai, Ranjan Kumar,Gao, Xiao-Zhi

Author : Kalita, Kanak,Ghadai, Ranjan Kumar,Gao, Xiao-Zhi
Publisher : IGI Global
Page : 298 pages
File Size : 53,8 Mb
Release : 2020-12-25
Category : Technology & Engineering
ISBN : 9781799872085

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Data-Driven Optimization of Manufacturing Processes by Kalita, Kanak,Ghadai, Ranjan Kumar,Gao, Xiao-Zhi Pdf

All machining process are dependent on a number of inherent process parameters. It is of the utmost importance to find suitable combinations to all the process parameters so that the desired output response is optimized. While doing so may be nearly impossible or too expensive by carrying out experiments at all possible combinations, it may be done quickly and efficiently by using computational intelligence techniques. Due to the versatile nature of computational intelligence techniques, they can be used at different phases of the machining process design and optimization process. While powerful machine-learning methods like gene expression programming (GEP), artificial neural network (ANN), support vector regression (SVM), and more can be used at an early phase of the design and optimization process to act as predictive models for the actual experiments, other metaheuristics-based methods like cuckoo search, ant colony optimization, particle swarm optimization, and others can be used to optimize these predictive models to find the optimal process parameter combination. These machining and optimization processes are the future of manufacturing. Data-Driven Optimization of Manufacturing Processes contains the latest research on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization viewpoint in both soft computing approaches and machining processes. The chapters provide solutions applicable to machining or manufacturing process problems and for optimizing the problems involved in other areas of mechanical, civil, and electrical engineering, making it a valuable reference tool. This book is addressed to engineers, scientists, practitioners, stakeholders, researchers, academicians, and students interested in the potential of recently developed powerful computational intelligence techniques towards improving the performance of machining processes.

Data Driven Smart Manufacturing Technologies and Applications

Weidong Li,Yuchen Liang,Sheng Wang

Author : Weidong Li,Yuchen Liang,Sheng Wang
Publisher : Springer Nature
Page : 218 pages
File Size : 48,9 Mb
Release : 2021-02-20
Category : Technology & Engineering
ISBN : 9783030668495

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Data Driven Smart Manufacturing Technologies and Applications by Weidong Li,Yuchen Liang,Sheng Wang Pdf

This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. This book details the relevant applied research conducted by the authors in some important manufacturing applications, including intelligent prognosis on manufacturing processes, sustainable manufacturing and human-robot cooperation. Industrial case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers. Smart manufacturing aims to take advantage of advanced information and artificial intelligent technologies to enable flexibility in physical manufacturing processes to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms is dramatic. Meanwhile, the algorithms and technologies have been widely applied to facilitate various manufacturing applications. It is essential to make a timely update on this subject considering its importance and rapid progress. This book offers a valuable resource for researchers in the smart manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in smart manufacturing and Industry 4.0.

Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials

Deepak Sinwar,Kamalakanta Muduli,Vijaypal Singh Dhaka,Vijander Singh

Author : Deepak Sinwar,Kamalakanta Muduli,Vijaypal Singh Dhaka,Vijander Singh
Publisher : CRC Press
Page : 223 pages
File Size : 47,9 Mb
Release : 2023-09-25
Category : Technology & Engineering
ISBN : 9781000932966

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Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials by Deepak Sinwar,Kamalakanta Muduli,Vijaypal Singh Dhaka,Vijander Singh Pdf

The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, computer engineering, and materials science. Discusses the development of sustainable materials using metaheuristic approaches. Covers computational models such as agent-based models, ontology, and decision field theory for reliability engineering. Presents swarm intelligence methods such as ant colony optimization, particle swarm optimization, and grey wolf optimization for solving the manufacturing process. Include case studies for industrial optimizations. Explores the use of computational optimization for reliability and maintainability theory. The text covers swarm intelligence techniques including ant colony optimization, particle swarm optimization, cuckoo search, and genetic algorithms for solving complex industrial problems of the manufacturing industry as well as predicting reliability, maintainability, and availability of several industrial components.

Optimization of Manufacturing Processes

Kapil Gupta,Munish Kumar Gupta

Author : Kapil Gupta,Munish Kumar Gupta
Publisher : Springer
Page : 237 pages
File Size : 49,6 Mb
Release : 2019-06-25
Category : Technology & Engineering
ISBN : 9783030196387

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Optimization of Manufacturing Processes by Kapil Gupta,Munish Kumar Gupta Pdf

This book provides a detailed understanding of optimization methods as they are implemented in a variety of manufacturing, fabrication and machining processes. It covers the implementation of statistical methods, multi-criteria decision making methods and evolutionary techniques for single and multi-objective optimization to improve quality, productivity, and sustainability in manufacturing. It reports on the theoretical aspects, special features, recent research and latest development in the field. Optimization of Manufacturing Processes is a valuable source of information for researchers and practitioners, as it fills the gap where no dedicated book is available on intelligent manufacturing/modeling and optimization in manufacturing. Readers will develop an understanding of the implementation of statistical and evolutionary techniques for modeling and optimization in manufacturing.

Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System

Qing Duan,Krishnendu Chakrabarty,Jun Zeng

Author : Qing Duan,Krishnendu Chakrabarty,Jun Zeng
Publisher : Springer
Page : 160 pages
File Size : 52,9 Mb
Release : 2015-06-13
Category : Technology & Engineering
ISBN : 9783319187389

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Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System by Qing Duan,Krishnendu Chakrabarty,Jun Zeng Pdf

This book provides a comprehensive set of optimization and prediction techniques for an enterprise information system. Readers with a background in operations research, system engineering, statistics, or data analytics can use this book as a reference to derive insight from data and use this knowledge as guidance for production management. The authors identify the key challenges in enterprise information management and present results that have emerged from leading-edge research in this domain. Coverage includes topics ranging from task scheduling and resource allocation, to workflow optimization, process time and status prediction, order admission policies optimization, and enterprise service-level performance analysis and prediction. With its emphasis on the above topics, this book provides an in-depth look at enterprise information management solutions that are needed for greater automation and reconfigurability-based fault tolerance, as well as to obtain data-driven recommendations for effective decision-making.

Artificial Intelligence in Manufacturing

Masoud Soroush,Richard D Braatz

Author : Masoud Soroush,Richard D Braatz
Publisher : Elsevier
Page : 374 pages
File Size : 53,7 Mb
Release : 2024-01-22
Category : Technology & Engineering
ISBN : 9780323996723

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Artificial Intelligence in Manufacturing by Masoud Soroush,Richard D Braatz Pdf

Artificial Intelligence in Manufacturing: Concepts and Methods explains the most successful emerging techniques for applying AI to engineering problems. Artificial intelligence is increasingly being applied to all engineering disciplines, producing more insights into how we understand the world and allowing us to create products in new ways. This book unlocks the advantages of this technology for manufacturing by drawing on work by leading researchers who have successfully developed methods that can apply to a range of engineering applications. The book addresses educational challenges needed for widespread implementation of AI and also provides detailed technical instructions for the implementation of AI methods. Drawing on research in computer science, physics and a range of engineering disciplines, this book tackles the interdisciplinary challenges of the subject to introduce new thinking to important manufacturing problems. Presents AI concepts from the computer science field using language and examples designed to inspire engineering graduates Provides worked examples throughout to help readers fully engage with the methods described Includes concepts that are supported by definitions for key terms and chapter summaries

Optimization of Manufacturing Systems Using the Internet of Things

Yingfeng Zhang,Fei Tao

Author : Yingfeng Zhang,Fei Tao
Publisher : Academic Press
Page : 226 pages
File Size : 54,9 Mb
Release : 2016-10-21
Category : Technology & Engineering
ISBN : 9780128099117

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Optimization of Manufacturing Systems Using the Internet of Things by Yingfeng Zhang,Fei Tao Pdf

Optimization of Manufacturing Systems Using the Internet of Things extends the IoT (Internet of Things) into the manufacturing field to develop an IoMT (Internet of Manufacturing Things) architecture with real-time traceability, visibility, and interoperability in production planning, execution, and control. This book is essential reading for anyone interested in the optimization and control of an intelligent manufacturing system. As modern manufacturing shop-floors can create bottlenecks in the capturing and collection of real-time field information, and because paper-based manual systems are time-consuming and prone to errors, this book helps readers understand how to alleviate these issues, assisting them in their decision-making on shop-floors.. Includes case studies in implementing IoTs for data acquisition, monitoring, and assembly in manufacturing. Helps manufacturers to tackle the growing complexities and uncertainties of manufacturing systems in globalized business environments Acts as an introduction to using IoT for readers across industrial and manufacturing engineering

Data Warehousing and Knowledge Discovery

Alfredo Cuzzocrea,Umeshwar Dayal

Author : Alfredo Cuzzocrea,Umeshwar Dayal
Publisher : Springer
Page : 454 pages
File Size : 47,6 Mb
Release : 2012-08-29
Category : Computers
ISBN : 9783642325847

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Data Warehousing and Knowledge Discovery by Alfredo Cuzzocrea,Umeshwar Dayal Pdf

This book constitutes the refereed proceedings of the 14th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2012 held in Vienna, Austria, in September 2012. The 36 revised full papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in topical sections on data warehouse design methodologies, ETL methodologies and tools, multidimensional data processing and management, data warehouse and OLAP extensions, data warehouse performance and optimization, data mining and knowledge discovery techniques, data mining and knowledge discovery applications, pattern mining, data stream mining, data warehouse confidentiality and security, and distributed paradigms and algorithms.

Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems

Faruk Y?lmaz, Ömer,Tüfekçí, Süleyman

Author : Faruk Y?lmaz, Ömer,Tüfekçí, Süleyman
Publisher : IGI Global
Page : 449 pages
File Size : 41,7 Mb
Release : 2017-11-30
Category : Business & Economics
ISBN : 9781522529453

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Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems by Faruk Y?lmaz, Ömer,Tüfekçí, Süleyman Pdf

Todays manufacturing systems are undergoing significant changes in the aspects of planning, production execution, and delivery. It is imperative to stay up-to-date on the latest trends in optimization to efficiently create products for the market. The Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems is a pivotal reference source including the latest scholarly research on heuristic models for solving manufacturing and supply chain related problems. Featuring exhaustive coverage on a broad range of topics such as assembly ratio, car sequencing, and color constraints, this publication is ideally designed for practitioners seeking new comprehensive models for problem solving in manufacturing and supply chain management.

How to Design and Implement Powder-to-Tablet Continuous Manufacturing Systems

Fernando Muzzio,Sarang Oka

Author : Fernando Muzzio,Sarang Oka
Publisher : Elsevier
Page : 442 pages
File Size : 54,7 Mb
Release : 2022-04
Category : Medical
ISBN : 9780128134795

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How to Design and Implement Powder-to-Tablet Continuous Manufacturing Systems by Fernando Muzzio,Sarang Oka Pdf

How to Design and Implement Powder-to-Tablet Continuous Manufacturing Systems provides a comprehensive overview on the considerations necessary for the design of continuous pharmaceutical manufacturing processes. The book covers both the theory and design of continuous processing of associated unit operations, along with their characterization and control. In addition, it discusses practical insights and strategies that the editor and chapter authors have learned. Chapters cover Process Analytical Technology (PAT) tools and the application of PAT data to enable distributed process control. With numerous case studies throughout, this valuable guide is ideal for those engaged in, or learning about, continuous processing in pharmaceutical manufacturing. Discusses the development of strategy blueprints in the design of continuous processes Shows how to create process flowsheet models from individual unit operation models Includes a chapter on characterization methods for materials, the use of statistical methods to analyze material property data, and the use of material databases Covers the evolving regulatory expectations for continuous manufacturing Provides readers with ways to more effectively navigate these expectations

Data-Driven Evolutionary Optimization

Yaochu Jin,Handing Wang,Chaoli Sun

Author : Yaochu Jin,Handing Wang,Chaoli Sun
Publisher : Springer Nature
Page : 393 pages
File Size : 55,7 Mb
Release : 2021-06-28
Category : Computers
ISBN : 9783030746407

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Data-Driven Evolutionary Optimization by Yaochu Jin,Handing Wang,Chaoli Sun Pdf

Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning, and metaheuristics. Written by world-leading academic researchers who are extremely experienced in industrial applications, this self-contained book is the first of its kind that provides comprehensive background knowledge, particularly practical guidelines, and state-of-the-art techniques. New algorithms are carefully explained, further elaborated with pseudocode or flowcharts, and full working source code is made freely available. This is followed by a presentation of a variety of data-driven single- and multi-objective optimization algorithms that seamlessly integrate modern machine learning such as deep learning and transfer learning with evolutionary and swarm optimization algorithms. Applications of data-driven optimization ranging from aerodynamic design, optimization of industrial processes, to deep neural architecture search are included.

Materials for Lightweight Constructions

S. Thirumalai Kumaran,Tae Jo Ko,S. Suresh Kumar,Temel Varol

Author : S. Thirumalai Kumaran,Tae Jo Ko,S. Suresh Kumar,Temel Varol
Publisher : CRC Press
Page : 280 pages
File Size : 47,5 Mb
Release : 2022-09-13
Category : Technology & Engineering
ISBN : 9781000646665

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Materials for Lightweight Constructions by S. Thirumalai Kumaran,Tae Jo Ko,S. Suresh Kumar,Temel Varol Pdf

This book presents the key concepts and methods involved in the development of a variety of materials for lightweight constructions, including metals, alloys, polymers and composites. It provides case studies and examples to explain strategies adapted for specific applications of the materials and covers traditional to advanced manufacturing concepts of lightweight materials, including 3D printing. It also illustrates the fundamentals and usability of biodegradable materials for achieving a greener environment, as well as possibilities of green manufacturing. Covers the fundamentals of a range of materials used for lightweight constructions Discusses fabrication and testing of materials Addresses relevant concepts of 3D printing and biodegradable materials Explores analysis of the failure mechanism of materials used in various applications Identifies the applicability of materials to a variety of situations Materials for Lightweight Constructions will suit researchers and graduate students in materials science, mechanical engineering, construction and composites.

Proceedings of the BISTIC Business Innovation Sustainability and Technology International Conference (BISTIC 2023)

Ika Zutiasari,Dediek Tri Kurniawan

Author : Ika Zutiasari,Dediek Tri Kurniawan
Publisher : Springer Nature
Page : 305 pages
File Size : 50,5 Mb
Release : 2023-11-30
Category : Business & Economics
ISBN : 9789464633023

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Proceedings of the BISTIC Business Innovation Sustainability and Technology International Conference (BISTIC 2023) by Ika Zutiasari,Dediek Tri Kurniawan Pdf

This is an open access book. Department of Management Faculty of Economics Universitas Negeri Malang seeks high quality research paper for the 3rd Business Innovation Sustainability and Technology International Conference (BISTIC) 2023 that was held on July 25th, 2023. We invite all professors, researchers, students, practitioners, and other enthusiasts to participate in The Business Innovation Sustainability and Technology International Conference (BISTIC) 2023 to present, share, and discuss the phenomenon depicted by academic research result as a strategic way to enlarge and enhance the research development together. This year, BISTIC is held as a virtual conference where there will be online presentation.

Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI

Satishkumar, D.,Sivaraja, M.

Author : Satishkumar, D.,Sivaraja, M.
Publisher : IGI Global
Page : 390 pages
File Size : 52,9 Mb
Release : 2024-03-04
Category : Technology & Engineering
ISBN : 9798369342770

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Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI by Satishkumar, D.,Sivaraja, M. Pdf

In manufacturing, entrenched challenges like costly maintenance, operational inefficiencies, and product defects loom large, casting shadows over industry progress. Despite the promise of Industry 4.0 and the proliferation of data-driven technologies, many enterprises need help to effectively harness the transformative power of artificial intelligence (AI). The gap between AI's potential and its practical application persists, hindering manufacturing companies from achieving optimal efficiency, competitiveness, and sustainability. Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI is a groundbreaking book meticulously crafted to address the pressing needs of academic scholars and industry professionals. Offering a nuanced exploration of AI's role in revolutionizing manufacturing, this book serves as a beacon of clarity amidst the complexities of modern industrial landscapes. Whether seeking to optimize operational workflows, mitigate risks, or unlock untapped opportunities, this definitive guide offers invaluable insights and actionable strategies to propel manufacturing enterprises into a future of innovation, efficiency, and sustainable growth.

Metaheuristics for Machine Learning

Kanak Kalita,Narayanan Ganesh,S. Balamurugan

Author : Kanak Kalita,Narayanan Ganesh,S. Balamurugan
Publisher : John Wiley & Sons
Page : 357 pages
File Size : 53,7 Mb
Release : 2024-05-07
Category : Computers
ISBN : 9781394233922

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Metaheuristics for Machine Learning by Kanak Kalita,Narayanan Ganesh,S. Balamurugan Pdf

METAHEURISTICS for MACHINE LEARNING The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive guide to cutting-edge algorithms, interdisciplinary insights, and real-world applications. The field of metaheuristic optimization algorithms is experiencing rapid growth, both in academic research and industrial applications. These nature-inspired algorithms, which draw on phenomena like evolution, swarm behavior, and neural systems, have shown remarkable efficiency in solving complex optimization problems. With advancements in machine learning and artificial intelligence, the application of metaheuristic optimization techniques has expanded, demonstrating significant potential in optimizing machine learning models, hyperparameter tuning, and feature selection, among other use-cases. In the industrial landscape, these techniques are becoming indispensable for solving real-world problems in sectors ranging from healthcare to cybersecurity and sustainability. Businesses are incorporating metaheuristic optimization into machine learning workflows to improve decision-making, automate processes, and enhance system performance. As the boundaries of what is computationally possible continue to expand, the integration of metaheuristic optimization and machine learning represents a pioneering frontier in computational intelligence, making this book a timely resource for anyone involved in this interdisciplinary field. Metaheuristics for Machine Learning: Algorithms and Applications serves as a comprehensive guide to the intersection of nature-inspired optimization and machine learning. Authored by leading experts, this book seamlessly integrates insights from computer science, biology, and mathematics to offer a panoramic view of the latest advancements in metaheuristic algorithms. You’ll find detailed yet accessible discussions of algorithmic theory alongside real-world case studies that demonstrate their practical applications in machine learning optimization. Perfect for researchers, practitioners, and students, this book provides cutting-edge content with a focus on applicability and interdisciplinary knowledge. Whether you aim to optimize complex systems, delve into neural networks, or enhance predictive modeling, this book arms you with the tools and understanding you need to tackle challenges efficiently. Equip yourself with this essential resource and navigate the ever-evolving landscape of machine learning and optimization with confidence. Audience The book is aimed at a broad audience encompassing researchers, practitioners, and students in the fields of computer science, data science, engineering, and mathematics. The detailed but accessible content makes it a must-have for both academia and industry professionals interested in the optimization aspects of machine learning algorithms.

Data Driven Optimization Of Manufacturing Processes

Data-Driven Optimization of Manufacturing Processes by Kalita, Kanak,Ghadai, Ranjan Kumar,Gao, Xiao-Zhi Pdf

Data Driven Smart Manufacturing Technologies and Applications by Weidong Li,Yuchen Liang,Sheng Wang Pdf

Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials by Deepak Sinwar,Kamalakanta Muduli,Vijaypal Singh Dhaka,Vijander Singh Pdf

Optimization of Manufacturing Processes by Kapil Gupta,Munish Kumar Gupta Pdf

Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System by Qing Duan,Krishnendu Chakrabarty,Jun Zeng Pdf

Artificial Intelligence in Manufacturing by Masoud Soroush,Richard D Braatz Pdf

Optimization of Manufacturing Systems Using the Internet of Things by Yingfeng Zhang,Fei Tao Pdf

Data Warehousing and Knowledge Discovery by Alfredo Cuzzocrea,Umeshwar Dayal Pdf

Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems by Faruk Y?lmaz, Ömer,Tüfekçí, Süleyman Pdf

How to Design and Implement Powder-to-Tablet Continuous Manufacturing Systems by Fernando Muzzio,Sarang Oka Pdf

Data-Driven Evolutionary Optimization by Yaochu Jin,Handing Wang,Chaoli Sun Pdf

Materials for Lightweight Constructions by S. Thirumalai Kumaran,Tae Jo Ko,S. Suresh Kumar,Temel Varol Pdf

Proceedings of the BISTIC Business Innovation Sustainability and Technology International Conference (BISTIC 2023) by Ika Zutiasari,Dediek Tri Kurniawan Pdf

Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI by Satishkumar, D.,Sivaraja, M. Pdf

Metaheuristics for Machine Learning by Kanak Kalita,Narayanan Ganesh,S. Balamurugan Pdf

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