Optimization For Industrial Problems
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Optimization For Industrial Problems
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Author : Patrick Bangert
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-05
Optimization For Industrial Problems written by Patrick Bangert and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-05 with Mathematics categories.
Industrial optimization lies on the crossroads between mathematics, computer science, engineering and management. This book presents these fields in interdependence as a conversation between theoretical aspects of mathematics and computer science and the mathematical field of optimization theory at a practical level. The 19 case studies that were conducted by the author in real enterprises in cooperation and co-authorship with some of the leading industrial enterprises, including RWE, Vattenfall, EDF, PetroChina, Vestolit, Sasol, and Hella, illustrate the results that may be reasonably expected from an optimization project in a commercial enterprise. The book is aimed at persons working in industrial facilities as managers or engineers; it is also suitable for university students and their professors as an illustration of how the academic material may be used in real life. It will not make its reader a mathematician but it will help its reader in improving his plant.
Optimization In Industry
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Author : Shubhabrata Datta
language : en
Publisher: Springer
Release Date : 2018-11-03
Optimization In Industry written by Shubhabrata Datta and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-03 with Technology & Engineering categories.
This book describes different approaches for solving industrial problems like product design, process optimization, quality enhancement, productivity improvement and cost minimization. Several optimization techniques are described. The book covers case studies on the applications of classical as well as evolutionary and swarm optimization tools for solving industrial issues. The content is very helpful for industry personnel, particularly engineers from the Operation, R&D and Quality Assurance sectors, and also the academic researchers of different engineering and/or business administration background.
Industrial Problem Solving Handbook
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Author : Mohammed Hamed Ahmed Soliman
language : en
Publisher: Mohammed Hamed Ahmed Soliman
Release Date : 2025-08-25
Industrial Problem Solving Handbook written by Mohammed Hamed Ahmed Soliman and has been published by Mohammed Hamed Ahmed Soliman this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-25 with Business & Economics categories.
Unlock the secrets to solving industrial challenges efficiently with Industrial Problem-Solving: Practical Tools and AI-Driven Methods for Engineers and Managers. This comprehensive guide equips professionals with actionable strategies, structured methodologies, and modern AI-powered techniques to identify, analyze, and eliminate process inefficiencies. Inside this handbook, you'll discover: Structured Problem-Solving Approaches: DMAIC (Six Sigma), A3 Problem Solving (Toyota), Design of Experiments (DOE), Kaizen, and more. Root Cause Analysis Tools: 5 Whys, Pareto Analysis, Fault Tree Analysis, Fishbone Diagrams. Data-Driven Methods: How AI and advanced analytics can accelerate problem identification and optimization. Practical Case Studies: Real-world industrial examples demonstrate how these techniques solve complex issues efficiently. Step-by-Step Guides: Templates, checklists, and actionable steps to implement immediately in manufacturing, operations, and engineering environments. Whether you're a process engineer, production manager, industrial consultant, or operations leader, this book bridges classical problem-solving methods with modern AI-driven approaches to deliver measurable results. Turn challenges into opportunities, reduce waste, improve quality, and drive continuous improvement across your organization. Empower yourself and your team to solve problems faster, smarter, and more effectively – one structured approach at a time.
Optimization In Large Scale Problems
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Author : Mahdi Fathi
language : en
Publisher: Springer Nature
Release Date : 2019-11-20
Optimization In Large Scale Problems written by Mahdi Fathi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-20 with Mathematics categories.
This volume provides resourceful thinking and insightful management solutions to the many challenges that decision makers face in their predictions, preparations, and implementations of the key elements that our societies and industries need to take as they move toward digitalization and smartness. The discussions within the book aim to uncover the sources of large-scale problems in socio-industrial dilemmas, and the theories that can support these challenges. How theories might also transition to real applications is another question that this book aims to uncover. In answer to the viewpoints expressed by several practitioners and academicians, this book aims to provide both a learning platform which spotlights open questions with related case studies. The relationship between Industry 4.0 and Society 5.0 provides the basis for the expert contributions in this book, highlighting the uses of analytical methods such as mathematical optimization, heuristic methods, decomposition methods, stochastic optimization, and more. The book will prove useful to researchers, students, and engineers in different domains who encounter large scale optimization problems and will encourage them to undertake research in this timely and practical field. The book splits into two parts. The first part covers a general perspective and challenges in a smart society and in industry. The second part covers several case studies and solutions from the operations research perspective for large scale challenges specific to various industry and society related phenomena.
Advanced Mathematical Techniques In Computational And Intelligent Systems
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Author : Sandeep Singh
language : en
Publisher: CRC Press
Release Date : 2023-11-20
Advanced Mathematical Techniques In Computational And Intelligent Systems written by Sandeep Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-20 with Computers categories.
This book comprehensively discusses the modeling of real-world industrial problems and innovative optimization techniques such as heuristics, finite methods, operation research techniques, intelligent algorithms, and agent- based methods. Discusses advanced techniques such as key cell, Mobius inversion, and zero suffix techniques to find initial feasible solutions to optimization problems. Provides a useful guide toward the development of a sustainable model for disaster management. Presents optimized hybrid block method techniques to solve mathematical problems existing in the industries. Covers mathematical techniques such as Laplace transformation, stochastic process, and differential techniques related to reliability theory. Highlights application on smart agriculture, smart healthcare, techniques for disaster management, and smart manufacturing. Advanced Mathematical Techniques in Computational and Intelligent Systems is primarily written for graduate and senior undergraduate students, as well as academic researchers in electrical engineering, electronics and communications engineering, computer engineering, and mathematics.
Optimization For Engineering Systems
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Author : Ralph W. Pike
language : en
Publisher: Van Nostrand Reinhold Company
Release Date : 1986
Optimization For Engineering Systems written by Ralph W. Pike and has been published by Van Nostrand Reinhold Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Mathematics categories.
Optimization Under Uncertainty With Applications To Aerospace Engineering
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Author : Massimiliano Vasile
language : en
Publisher: Springer Nature
Release Date : 2021-02-15
Optimization Under Uncertainty With Applications To Aerospace Engineering written by Massimiliano Vasile and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-15 with Science categories.
In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex systems and processes. This book provides the foundational material necessary for those who wish to embark on advanced research at the limits of computability, collecting together lecture material from leading experts across the topics of optimization, uncertainty quantification and aerospace engineering. The aerospace sector in particular has stringent performance requirements on highly complex systems, for which solutions are expected to be optimal and reliable at the same time. The text covers a wide range of techniques and methods, from polynomial chaos expansions for uncertainty quantification to Bayesian and Imprecise Probability theories, and from Markov chains to surrogate models based on Gaussian processes. The book will serve as a valuable tool for practitioners, researchers and PhD students.
Optimization In Chemical Engineering
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Author : Fernando Israel Gómez-Castro
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-04-21
Optimization In Chemical Engineering written by Fernando Israel Gómez-Castro and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-21 with Technology & Engineering categories.
Optimization is an area in constant evolution. The search for robust optimization techniques to deal with the highly non-convex models that represent the systems related to Chemical Engineering has led to important advances in the area. The need for developing economically feasible processes which are simultaneously environmentally friendly, safe, and controllable requires for adequate optimization strategies. Moreover, finding a global optimum is still a challenge for a diversity of cases. Thus, this book presents a compilation of classic and emerging optimization techniques, focusing on their application to systems related to the Chemical Engineering. The book shows the applications of classic mathematical programming, metaheuristic optimization methods and machine learning-based strategies. The analysis of the described techniques allows the reader identifying the advantages and disadvantages of each approach. Moreover, the book will discuss the perspectives for future developments on the area.
Integrated Process Modeling Advanced Control And Data Analytics For Optimizing Polyolefin Manufacturing
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Author : Y. A. Liu
language : en
Publisher: John Wiley & Sons
Release Date : 2023-07-25
Integrated Process Modeling Advanced Control And Data Analytics For Optimizing Polyolefin Manufacturing written by Y. A. Liu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-25 with Technology & Engineering categories.
Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing Detailed resource on the “Why,” “What,” and “How” of integrated process modeling, advanced control and data analytics explained via hands-on examples and workshops for optimizing polyolefin manufacturing. Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing discusses, as well as demonstrates, the optimization of polyolefin production by covering topics from polymer process modeling and advanced process control to data analytics and machine learning, and sustainable design and industrial practice. The text also covers practical problems, handling of real data streams, developing the right level of detail, and tuning models to the available data, among other topics, to allow for easy translation of concepts into practice. Written by two highly qualified authors, Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing includes information on: Segment-based modeling of polymer processes; selection of thermodynamic methods; estimation of physical properties for polymer process modeling Reactor modeling, convergence tips and data-fit tool; free radical polymerization (LDPE, EVA and PS), Ziegler-Natta polymerization (HDPE, PP, LLPDE, and EPDM) and ionic polymerization (SBS rubber) Improved polymer process operability and control through steady-state and dynamic simulation models Model-predictive control of polyolefin processes and applications of multivariate statistics and machine learning to optimizing polyolefin manufacturing Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing enables readers to make full use of advanced computer models and latest data analytics and machine learning tools for optimizing polyolefin manufacturing, making it an essential resource for undergraduate and graduate students, researchers, and new and experienced engineers involved in the polyolefin industry.
Applications Of Hybrid Metaheuristic Algorithms For Image Processing
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Author : Diego Oliva
language : en
Publisher: Springer Nature
Release Date : 2020-03-27
Applications Of Hybrid Metaheuristic Algorithms For Image Processing written by Diego Oliva and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-27 with Technology & Engineering categories.
This book presents a collection of the most recent hybrid methods for image processing. The algorithms included consider evolutionary, swarm, machine learning and deep learning. The respective chapters explore different areas of image processing, from image segmentation to the recognition of objects using complex approaches and medical applications. The book also discusses the theory of the methodologies used to provide an overview of the applications of these tools in image processing. The book is primarily intended for undergraduate and postgraduate students of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence. Further, it is a valuable resource for researchers from the evolutionary computation, artificial intelligence and image processing communities.