Data Driven Optimization Of Manufacturing Processes

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Data Driven Optimization Of Manufacturing Processes

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Author : Kalita, Kanak
language : en
Publisher: IGI Global
Release Date : 2020-12-25

Data Driven Optimization Of Manufacturing Processes written by Kalita, Kanak and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-25 with Technology & Engineering categories.

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

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Author : Weidong Li
language : en
Publisher: Springer Nature
Release Date : 2021-02-20

Data Driven Smart Manufacturing Technologies And Applications written by Weidong Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-20 with Technology & Engineering categories.

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.

Optimization Of Manufacturing Processes

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Author : Kapil Gupta
language : en
Publisher: Springer
Release Date : 2019-06-25

Optimization Of Manufacturing Processes written by Kapil Gupta and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-25 with Technology & Engineering categories.

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.

Production Engineering

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Author : Manfred Weck
language : en
Publisher: Elsevier
Release Date : 2013-10-22

Production Engineering written by Manfred Weck and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Technology & Engineering categories.

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.

Data Driven Optimization Of Manufacturing Processes

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Author : Kanak Kalita
language : en
Publisher:
Release Date : 2020

Data Driven Optimization Of Manufacturing Processes written by Kanak Kalita and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Electronic books categories.

"This book is a compilation of chapters on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization, offering both soft computing approaches and machining processes"--

Data Driven Science And Engineering

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Author : Steven L. Brunton
language : en
Publisher: Cambridge University Press
Release Date : 2022-05-05

Data Driven Science And Engineering written by Steven L. Brunton and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-05 with Computers categories.

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Data Mining And Knowledge Discovery In Real Life Applications

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Author : Julio Ponce
language : en
Publisher: BoD – Books on Demand
Release Date : 2009-01-01

Data Mining And Knowledge Discovery In Real Life Applications written by Julio Ponce and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-01 with Computers categories.

This book presents four different ways of theoretical and practical advances and applications of data mining in different promising areas like Industrialist, Biological, and Social. Twenty six chapters cover different special topics with proposed novel ideas. Each chapter gives an overview of the subjects and some of the chapters have cases with offered data mining solutions. We hope that this book will be a useful aid in showing a right way for the students, researchers and practitioners in their studies.

Data Driven Scheduling Of Semiconductor Manufacturing Systems

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Author : Li Li
language : en
Publisher: Springer Nature
Release Date : 2023-05-20

Data Driven Scheduling Of Semiconductor Manufacturing Systems written by Li Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-20 with Technology & Engineering categories.

This book systematically discusses the intelligent scheduling problem of complex semiconductor manufacturing systems from theory to method and then to application. The main contents include data-driven scheduling framework of semiconductor manufacturing system, data preprocessing of semiconductor manufacturing system, correlation analysis of performance index of semiconductor production line, intelligent release control strategy, dynamic dispatching rules simulating pheromone mechanism, and load balancing dynamic scheduling of semiconductor production line, performance index-driven dynamic scheduling method of semiconductor production line, scheduling trend of semi-conductor manufacturing system in big data environment. This book aims to provide readers with valuable reference and assistance in the theoretical methods, techniques, and application cases of semiconductor manufacturing systems and their intelligent scheduling.

Data Warehousing And Knowledge Discovery

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Author : Alfredo Cuzzocrea
language : en
Publisher: Springer
Release Date : 2012-08-29

Data Warehousing And Knowledge Discovery written by Alfredo Cuzzocrea and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-29 with Computers categories.

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.

Data Driven Decision Making Advanced Techniques In Healthcare And Business Analytics

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Author : Krishna prasath Sivaraj Dr Arpit Jain
language : en
Publisher: DeepMisti Publication
Release Date : 2025-02-02

Data Driven Decision Making Advanced Techniques In Healthcare And Business Analytics written by Krishna prasath Sivaraj Dr Arpit Jain and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-02 with Computers categories.

In today’s data-driven world, decisions are no longer based on intuition alone. Organizations in healthcare and business are increasingly leveraging advanced analytics to extract meaningful insights, optimize operations, and create value. The ability to make data-driven decisions has become a defining factor in achieving success, fostering innovation, and navigating complex challenges. Data-Driven Decision Making: Advanced Techniques in Healthcare and Business Analytics is a comprehensive guide to mastering the tools, methods, and strategies that empower professionals to transform raw data into actionable knowledge. This book explores the critical intersection of analytics and decision-making, offering readers the expertise needed to thrive in data-intensive environments. Key themes covered include: • The foundations of data-driven decision-making and its role in strategic planning. • Advanced analytics techniques, such as predictive modeling, machine learning, and real- time data processing. • Practical applications in healthcare, including patient outcome prediction, resource allocation, and personalized medicine. • Use cases in business, such as customer segmentation, financial forecasting, and operational optimization. • Ethical considerations, data governance, and strategies for ensuring compliance with evolving regulations. This book is designed for healthcare professionals, business leaders, data scientists, and analysts who seek to harness the power of data for impactful decision-making. Whether you are solving problems in healthcare delivery or driving business growth, the methodologies presented here will equip you to make informed, evidence-based decisions. The journey to mastering data-driven decision-making is both a technical and strategic endeavor. Through this book, we aim to inspire you to unlock the full potential of analytics, delivering better outcomes for your organization and the people it serves. Let this guide be your companion as you explore the transformative power of advanced analytics in healthcare and business. Authors