Hybrid Modeling and Optimization of Manufacturing

Hybrid Modeling and Optimization of Manufacturing
Author: Ramón Quiza
Publisher: Springer Science & Business Media
Total Pages: 99
Release: 2012-02-16
Genre: Computers
ISBN: 3642280846

Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful computing tools, which are extensively used for modeling and optimizing manufacturing processes. The combination of these tools has resulted in a new flexible and robust approach as several recent studies have shown. This book aims to review the work already done in this field as well as to expose the new possibilities and foreseen trends. The book is expected to be useful for postgraduate students and researchers, working in the area of modeling and optimization of manufacturing processes.

Hybrid Modeling and Optimization of Manufacturing

Hybrid Modeling and Optimization of Manufacturing
Author: Ramón Quiza
Publisher: Springer
Total Pages: 95
Release: 2012-02-23
Genre: Technology & Engineering
ISBN: 9783642280863

Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful computing tools, which are extensively used for modeling and optimizing manufacturing processes. The combination of these tools has resulted in a new flexible and robust approach as several recent studies have shown. This book aims to review the work already done in this field as well as to expose the new possibilities and foreseen trends. The book is expected to be useful for postgraduate students and researchers, working in the area of modeling and optimization of manufacturing processes.

Hybrid Modeling in Process Industries

Hybrid Modeling in Process Industries
Author: Jarka Glassey
Publisher: CRC Press
Total Pages: 219
Release: 2018-02-01
Genre: Science
ISBN: 1351184369

This title introduces the underlying theory and demonstrates practical applications in different process industries using hybrid modeling. It reviews hybrid modeling approach applicability in wide range of process industries, recommends how to increase hybrid model performance and throw Insights into cost efficient practices in modeling techniques Discusses advance process operation maximizing the benefits of available process knowledge and Includes real-life and practical case studies

Smart Manufacturing

Smart Manufacturing
Author: Masoud Soroush
Publisher: Elsevier
Total Pages: 530
Release: 2020-08-04
Genre: Technology & Engineering
ISBN: 0128203811

Research efforts in the past decade have led to considerable advances in the concepts and methods of smart manufacturing. Smart Manufacturing: Applications and Case Studies includes information about the key applications of these new methods, as well as practitioners’ accounts of real-life applications and case studies. Written by thought leaders in the field from around the world, Smart Manufacturing: Applications and Case Studies is essential reading for graduate students, researchers, process engineers and managers. It is complemented by a companion book titled Smart Manufacturing: Concepts and Methods, which describes smart manufacturing methods in detail. Includes examples of applications of smart manufacturing in process industries Provides a thorough overview of the subject and practical examples of applications through well researched case studies Offers insights and accounts of first-hand experiences to motivate further implementations of the key concepts of smart manufacturing

Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains

Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains
Author: J. George Shanthikumar
Publisher: Springer Science & Business Media
Total Pages: 413
Release: 2012-12-06
Genre: Business & Economics
ISBN: 1461503736

This volume originates from two workshops, both focusing on themes that are reflected in the title of the volume. The first workshop took place at Eindhoven University of Technology, April 24-26, 2001, on the occasion of the University granting a doctorate honoris causa to Profes sor John A. Buzacott. The second workshop was held on June 15, 2002 at Cornell University (preceding the annual INFORMSjMSOM Confer ence), honoring John's retirement and his lifetime contributions. Each of the two workshops consisted of about a dozen technical presentations. The objective of the volume, however, is not to simply publish the proceedings of the two workshops. Rather, our objective is to put to gether a select set of articles, each organized into a well-written chapter, focusing on a timely topic. Collected into a single volume, these chapters aim to serve as a useful reference for researchers and practitioners alike, and also as reading materials for graduate courses or seminars.

Hybrid Simulation Models of Production Networks

Hybrid Simulation Models of Production Networks
Author: Vassilis S. Kouikoglou
Publisher: Springer Science & Business Media
Total Pages: 201
Release: 2013-11-11
Genre: Mathematics
ISBN: 1475754388

Industrial production is one of the most basic human activities indispensable to the economic activity. Due to its complexity, production is not very well understood and modeled as opposed to traditional fields of inquiry such as physics. This book aims at enhancing rigorous understanding of a particular area of production, that of analysis and optimization of production lines and networks using discrete event models and simulation. To our knowledge, this is the first book treating this subject from the point of view mentioned above. We have arrived at the realization that discrete event models and simulation provide perhaps the best tools to model production lines and networks for a number of reasons. Analysis is precise but demands enormous computational resources, usually unavailable in practical situations. Brute force simulation is also precise but slow when quick decisions are to be made. Approximate analytical models are fast but often unreliable as far as accuracy is concerned. The approach of the book, on the other hand, combines speed and accuracy to an exceptional degree in most practical applications.

Handbook of Research on Manufacturing Process Modeling and Optimization Strategies

Handbook of Research on Manufacturing Process Modeling and Optimization Strategies
Author: Das, Raja
Publisher: IGI Global
Total Pages: 556
Release: 2017-03-10
Genre: Business & Economics
ISBN: 152252441X

Recent improvements in business process strategies have allowed more opportunities to attain greater developmental performances. This has led to higher success in day-to-day production and overall competitive advantage. The Handbook of Research on Manufacturing Process Modeling and Optimization Strategies is a pivotal reference source for the latest research on the various manufacturing methodologies and highlights the best optimization approaches to achieve boosted process performance. Featuring extensive coverage on relevant areas such as genetic algorithms, fuzzy set theory, and soft computing techniques, this publication is an ideal resource for researchers, practitioners, academicians, designers, manufacturing engineers, and institutions involved in design and manufacturing projects.

Modeling and Optimization of Advanced Manufacturing Processes

Modeling and Optimization of Advanced Manufacturing Processes
Author: Sumit Bhowmik
Publisher: Springer
Total Pages: 85
Release: 2018-09-01
Genre: Technology & Engineering
ISBN: 3030000362

This book covers various multiple-criteria decision making (mcdm) methods for modeling and optimization of advanced manufacturing processes (AMPs). Processes such as non-conventional machining, rapid prototyping, environmentally conscious machining and hybrid machining are finally put together in a single book. It highlights the research advances and discusses the published literature of the last 15 years in the field. Case studies of real life manufacturing situations are also discussed.