Advanced Optimization and Decision Making Techniques in Textile Manufacturing

Advanced Optimization and Decision Making Techniques in Textile Manufacturing

The book includes theory and applications of various types of multi-criteria decision making and optimization techniques with reference to textile manufacturing and management.

Author: ANINDYA. MAL GHOSH (PRITHWIRAJ. MAJUMDAR, ABHIJIT.)

Publisher: CRC Press

ISBN: 0367670534

Category:

Page: 302

View: 512

Optimization and decision making are integral parts of any manufacturing process and management system. The objective of this book is to demonstrate the confluence of theory and applications of various types of multi-criteria decision making and optimization techniques with reference to textile manufacturing and management. Divided into twelve chapters, it discusses various multi-criteria decision-making methods such as AHP, TOPSIS, ELECTRE, and optimization techniques like linear programming, fuzzy linear programming, quadratic programming, in textile domain. Multi-objective optimization problems have been dealt with two approaches, namely desirability function and evolutionary algorithm. Key Features Exclusive title covering textiles and soft computing fields including optimization and decision making Discusses concepts of traditional and non-traditional optimization methods with textile examples Explores pertinent single-objective and multi-objective optimizations Provides MATLAB coding in the Appendix to solve various types of multi-criteria decision making and optimization problems Includes examples and case studies related to textile engineering and management
Categories:

Advanced Optimization and Decision Making Techniques in Textile Manufacturing

Advanced Optimization and Decision Making Techniques in Textile Manufacturing

The objective of this text is to demonstrate the confluence of theory and applications of various types of multicriteria decision-making and optimization techniques with reference to textile manufacturing and management.

Author: Anindya Ghosh

Publisher: CRC Press

ISBN: 9780429996832

Category: Technology & Engineering

Page: 302

View: 728

Optimization and decision making are integral parts of any manufacturing process and management system. The objective of this book is to demonstrate the confluence of theory and applications of various types of multi-criteria decision making and optimization techniques with reference to textile manufacturing and management. Divided into twelve chapters, it discusses various multi-criteria decision-making methods such as AHP, TOPSIS, ELECTRE, and optimization techniques like linear programming, fuzzy linear programming, quadratic programming, in textile domain. Multi-objective optimization problems have been dealt with two approaches, namely desirability function and evolutionary algorithm. Key Features Exclusive title covering textiles and soft computing fields including optimization and decision making Discusses concepts of traditional and non-traditional optimization methods with textile examples Explores pertinent single-objective and multi-objective optimizations Provides MATLAB coding in the Appendix to solve various types of multi-criteria decision making and optimization problems Includes examples and case studies related to textile engineering and management
Categories: Technology & Engineering

Textile Engineering

Textile Engineering

Statistical Techniques, Design of Experiments and Stochastic Modeling Anindya Ghosh, Bapi Saha, Prithwiraj Mal ... He coauthored Advanced Optimization and Decision-Making Techniques in Textile Manufacturing (CRC Press).

Author: Anindya Ghosh

Publisher: CRC Press

ISBN: 9781000455403

Category: Mathematics

Page: 478

View: 364

Focusing on the importance of the application of statistical techniques, this book covers the design of experiments and stochastic modeling in textile engineering. Textile Engineering: Statistical Techniques, Design of Experiments and Stochastic Modeling focuses on the analysis and interpretation of textile data for improving the quality of textile processes and products using various statistical techniques. FEATURES Explores probability, random variables, probability distribution, estimation, significance test, ANOVA, acceptance sampling, control chart, regression and correlation, design of experiments and stochastic modeling pertaining to textiles Presents step-by-step mathematical derivations Includes MATLAB® codes for solving various numerical problems Consists of case studies, practical examples and homework problems in each chapter This book is aimed at graduate students, researchers and professionals in textile engineering, textile clothing, textile management and industrial engineering. This book is equally useful for learners and practitioners in other scientific and technological domains.
Categories: Mathematics

Developments Of Artificial Intelligence Technologies In Computation And Robotics Proceedings Of The 14th International Flins Conference Flins 2020

Developments Of Artificial Intelligence Technologies In Computation And Robotics   Proceedings Of The 14th International Flins Conference  Flins 2020

Results and discussion In order to validate the applicability of this decision support system, a trail for finding ... A. Ghosh, P. Mal and A. Majumdar, Advanced Optimization and DecisionMaking Techniques in Textile Manufacturing.

Author: Zhong Li

Publisher: World Scientific

ISBN: 9789811223341

Category: Technology & Engineering

Page: 1588

View: 103

FLINS, an acronym introduced in 1994 and originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended into a well-established international research forum to advance the foundations and applications of computational intelligence for applied research in general and for complex engineering and decision support systems.The principal mission of FLINS is bridging the gap between machine intelligence and real complex systems via joint research between universities and international research institutions, encouraging interdisciplinary research and bringing multidiscipline researchers together.FLINS 2020 is the fourteenth in a series of conferences on computational intelligence systems.
Categories: Technology & Engineering

Precision Metal Additive Manufacturing

Precision Metal Additive Manufacturing

Advanced Optimization and Decision-Making Techniques in Textile Manufacturing. Taylor & Francis Group. Grasso, M., Gallina, F. and Colosimo, B. M. 2018. Data fusion methods for statistical process monitoring and quality characterization ...

Author: Richard Leach

Publisher: CRC Press

ISBN: 9780429791284

Category: Technology & Engineering

Page: 404

View: 636

Additive manufacturing (AM) is a fast-growing sector with the ability to evoke a revolution in manufacturing due to its almost unlimited design freedom and its capability to produce personalised parts locally and with efficient material use. AM companies, however, still face technological challenges such as limited precision due to shrinkage, built-in stresses and limited process stability and robustness. Moreover, often post-processing is needed due to high roughness and remaining porosity. Qualified, trained personnel are also in short supply. In recent years, there have been dramatic improvements in AM design methods, process control, post-processing, material properties and material range. However, if AM is going to gain a significant market share, it must be developed into a true precision manufacturing method. The production of precision parts relies on three principles: Production is robust (i.e. all sensitive parameters can be controlled). Production is predictable (for example, the shrinkage that occurs is acceptable because it can be predicted and compensated in the design). Parts are measurable (as without metrology, accuracy, repeatability and quality assurance cannot be known). AM of metals is inherently a high-energy process with many sensitive and inter-related process parameters, making it susceptible to thermal distortions, defects and process drift. The complete modelling of these processes is beyond current computational power, and novel methods are needed to practicably predict performance and inform design. In addition, metal AM produces highly textured surfaces and complex surface features that stretch the limits of contemporary metrology. With so many factors to consider, there is a significant shortage of background material on how to inject precision into AM processes. Shortage in such material is an important barrier for a wider uptake of advanced manufacturing technologies, and a comprehensive book is thus needed. This book aims to inform the reader how to improve the precision of metal AM processes by tackling the three principles of robustness, predictability and metrology, and by developing computer-aided engineering methods that empower rather than limit AM design. Richard Leach is a professor in metrology at the University of Nottingham and heads up the Manufacturing Metrology Team. Prior to this position, he was at the National Physical Laboratory from 1990 to 2014. His primary love is instrument building, from concept to final installation, and his current interests are the dimensional measurement of precision and additive manufactured structures. His research themes include the measurement of surface topography, the development of methods for measuring 3D structures, the development of methods for controlling large surfaces to high resolution in industrial applications and the traceability of X-ray computed tomography. He is a leader of several professional societies and a visiting professor at Loughborough University and the Harbin Institute of Technology. Simone Carmignato is a professor in manufacturing engineering at the University of Padua. His main research activities are in the areas of precision manufacturing, dimensional metrology and industrial computed tomography. He is the author of books and hundreds of scientific papers, and he is an active member of leading technical and scientific societies. He has been chairman, organiser and keynote speaker for several international conferences, and received national and international awards, including the Taylor Medal from CIRP, the International Academy for Production Engineering.
Categories: Technology & Engineering

An Integrated Decision Making Method Based on Neutrosophic Numbers for Investigating Factors of Coastal Erosion

An Integrated Decision Making Method Based on Neutrosophic Numbers for Investigating Factors of Coastal Erosion

In Modeling and Optimization of Advanced Manufacturing Processes; Springer: Cham, Switzerland, 2019; pp. 29–44. ... Sener, Z. A fuzzy group decision making approach for supplier evaluation and selection in textile industry.

Author: Azzah Awang

Publisher: Infinite Study

ISBN:

Category: Mathematics

Page: 26

View: 504

This paper proposes improvements to the integrated ANP–DEMATEL method by bringing together the neutrosophic numbers, the ANP method, and the DEMATEL method, which are later abbreviated to NS-DANP.
Categories: Mathematics

Handbook of Research on Emergent Applications of Optimization Algorithms

Handbook of Research on Emergent Applications of Optimization Algorithms

Optimization of wire electrical discharge machining (WEDM) process parameters using Taguchi method. ... Selection of raw materials in textile spinning industry using fuzzy multi-criteria decision making approach.

Author: Vasant, Pandian

Publisher: IGI Global

ISBN: 9781522529910

Category: Computers

Page: 812

View: 865

Modern optimization approaches have attracted an increasing number of scientists, decision makers, and researchers. As new issues in this field emerge, different optimization methodologies must be developed and implemented. The Handbook of Research on Emergent Applications of Optimization Algorithms is an authoritative reference source for the latest scholarly research on modern optimization techniques for solving complex problems of global optimization and their applications in economics and engineering. Featuring coverage on a broad range of topics and perspectives such as hybrid systems, non-cooperative games, and cryptography, this publication is ideally designed for students, researchers, and engineers interested in emerging developments in optimization algorithms.
Categories: Computers

Intelligent Decision making Models for Production and Retail Operations

Intelligent Decision making Models for Production and Retail Operations

Textile Research Journal, 81(18), 1871–1892. Lan, C., & Lan, T. (2005). A combinatorial manufacturing resource planning model for long-term CNC machining industry. International Journal of Advanced Manufacturing Technology, 26 (9–10), ...

Author: Zhaoxia Guo

Publisher: Springer

ISBN: 9783662526811

Category: Technology & Engineering

Page: 324

View: 410

This book provides an overview of intelligent decision-making techniques and discusses their application in production and retail operations. Manufacturing and retail enterprises have stringent standards for using advanced and reliable techniques to improve decision-making processes, since these processes have significant effects on the performance of relevant operations and the entire supply chain. In recent years, researchers have been increasingly focusing attention on using intelligent techniques to solve various decision-making problems. The opening chapters provide an introduction to several commonly used intelligent techniques, such as genetic algorithm, harmony search, neural network and extreme learning machine. The book then explores the use of these techniques for handling various production and retail decision-making problems, such as production planning and scheduling, assembly line balancing, and sales forecasting.
Categories: Technology & Engineering

Automation in Garment Manufacturing

Automation in Garment Manufacturing

... Autonomous Robots (http://www.springer.com/engineering/control/journal/10514) • Fuzzy Optimization and Decision Making ... The International Journal of Advanced Manufacturing Technology 29 (3–4), 408–417. Au, K.-F., Choi, T.-M., Yu, ...

Author: Rajkishore Nayak

Publisher: Woodhead Publishing

ISBN: 9780081011331

Category: Technology & Engineering

Page: 426

View: 398

Automation in Garment Manufacturing provides systematic and comprehensive insights into this multifaceted process. Chapters cover the role of automation in design and product development, including color matching, fabric inspection, 3D body scanning, computer-aided design and prototyping. Part Two covers automation in garment production, from handling, spreading and cutting, through to finishing and pressing techniques. Final chapters discuss advanced tools for assessing productivity in manufacturing, logistics and supply-chain management. This book is a key resource for all those engaged in textile and apparel development and production, and is also ideal for academics engaged in research on textile science and technology. Delivers theoretical and practical guidance on automated processes that benefit anyone developing or manufacturing textile products Offers a range of perspectives on manufacturing from an international team of authors Provides systematic and comprehensive coverage of the topic, from fabric construction, through product development, to current and potential applications
Categories: Technology & Engineering

Handbook of Intelligent Computing and Optimization for Sustainable Development

Handbook of Intelligent Computing and Optimization for Sustainable Development

Hynek, J. and Janecek, V., Issues Affecting Advanced Manufacturing Technology Projects. ... Ilangkumaran, M. and Kumanan, S., Selection of maintenance policy for textile industry using hybrid multi-criteria decision-making approach.

Author: Mukhdeep Singh Manshahia

Publisher: John Wiley & Sons

ISBN: 9781119791829

Category: Technology & Engineering

Page: 948

View: 438

HANDBOOK OF INTELLIGENT COMPUTING AND OPTIMIZATION FOR SUSTAINABLE DEVELOPMENT This book provides a comprehensive overview of the latest breakthroughs and recent progress in sustainable intelligent computing technologies, applications, and optimization techniques across various industries. Optimization has received enormous attention along with the rapidly increasing use of communication technology and the development of user-friendly software and artificial intelligence. In almost all human activities, there is a desire to deliver the highest possible results with the least amount of effort. Moreover, optimization is a very well-known area with a vast number of applications, from route finding problems to medical treatment, construction, finance, accounting, engineering, and maintenance schedules in plants. As far as optimization of real-world problems is concerned, understanding the nature of the problem and grouping it in a proper class may help the designer employ proper techniques which can solve the problem efficiently. Many intelligent optimization techniques can find optimal solutions without the use of objective function and are less prone to local conditions. The 41 chapters comprising the Handbook of Intelligent Computing and Optimization for Sustainable Development by subject specialists, represent diverse disciplines such as mathematics and computer science, electrical and electronics engineering, neuroscience and cognitive sciences, medicine, and social sciences, and provide the reader with an integrated understanding of the importance that intelligent computing has in the sustainable development of current societies. It discusses the emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative intelligent techniques in a variety of sectors, including IoT, manufacturing, optimization, and healthcare. Audience It is a pivotal reference source for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in the field of artificial intelligence in the areas of Internet of Things, renewable energy, optimization, and smart cities.
Categories: Technology & Engineering