Computational Modelling In Industry 40 PDF Download
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Author | : Irfan Ali |
Publisher | : Springer Nature |
Total Pages | : 374 |
Release | : 2022-02-12 |
Genre | : Technology & Engineering |
ISBN | : 9811677239 |
Download Computational Modelling in Industry 4.0 Book in PDF, ePub and Kindle
This book addresses the different problems, practices, challenges and opportunities in sustainable resource management with the help of decision-making techniques to showcase the relevance of computational modelling approaches in sustainable management and Industry 4.0. It aims to address the inherent complexity of managing ecosystems, particularly with respect to involvement of multi-stakeholders, lack of information and uncertainties. Critical analyses are made to point out the need for, and propose a call to, a new way of thinking about sustainable resource management. This book will be useful for academicians, researchers, and industrialists in the field of industrial and production engineering.
Author | : Jeffrey B. Vancouver |
Publisher | : Taylor & Francis |
Total Pages | : 342 |
Release | : 2023-11-02 |
Genre | : Psychology |
ISBN | : 1003815251 |
Download Computational Modeling for Industrial-Organizational Psychologists Book in PDF, ePub and Kindle
This collection provides a primer to the process and promise of computational modeling for industrial-organizational psychologists. With contributions by global experts in the field, the book is designed to expand readers’ appreciation for computational modeling via chapters focused on key modeling achievements in domains relevant to industrial-organizational psychology, including decision making in organizations, diversity and inclusion, learning and training, leadership, and teams. To move the use of computational modeling forward, the book includes specific how-to-chapters on two of the most commonly used modeling approaches: agent-based modeling and system dynamics modeling. It also gives guidance on how to evaluate these models qualitatively and quantitatively, and offers advice on how to read, review, and publish papers with computational models. The authors provide an extensive description of the myriad of values computational modeling can bring to the field, highlighting how they offer a more transparent, precise way to represent theories and can be simulated to offer a test of the internal consistency of a theory and allow for predictions. This is accompanied by an overview of the history of computational modeling as it relates to I-O psychology. Throughout, the authors reflect on computational modeling’s journey, looking back to its history as they imagine its future in I-O psychology. Each contribution demonstrates the value and opportunities computational modeling can provide the individual researcher, research teams, and fields of I-O psychology and management. This volume is an ideal resource for anyone interested in computational modeling, from scholarly consumers to computational model creators.
Author | : Rallapalli Srinivas |
Publisher | : |
Total Pages | : 0 |
Release | : 2022 |
Genre | : |
ISBN | : 9789811678585 |
Download Advances in Computational Modeling and Simulation Book in PDF, ePub and Kindle
The book presents select proceedings of Global meet on 'Computational Modelling and Simulation, Recent Innovations, Challenges and Perspectives, 2020. This book covers leading-edge technologies from different domains such as computation in optimization and control, multiscale and multiphysics modeling and computation analysis, environmental modeling, modeling approaches to enterprise systems and services, finite element analysis, dependability and security, high-performance computation/cloud computing applications, computational biology and chemistry and computational mechanics. The primary goal of this book is to strengthen pre-eminence in computational modeling and simulation by catalyzing the transformative use of innovative developments in a wide range of disciplines to achieve lasting societal impact. The book discusses on how to perform simulation of large complex dynamic systems in an efficient manner using advanced computational analysis. The inter-disciplinary nature of the book would be a valuable reference for academicians and research scientists, industrialists interested in modelling and simulation driven by computational technology.
Author | : Dragan Aleksendric |
Publisher | : Woodhead Publishing |
Total Pages | : 319 |
Release | : 2015-01-23 |
Genre | : Technology & Engineering |
ISBN | : 008100253X |
Download Soft Computing in the Design and Manufacturing of Composite Materials Book in PDF, ePub and Kindle
Due to problems associated with the design and manufacturing of composite materials, there is a need to introduce computational and intelligent systems engineering methodology in materials engineering. Soft Computing in the Design and Manufacturing of Composite Material offers an intelligent approach to advance material engineering, and significantly improves the process of designing and manufacturing a new material. This title includes chapters covering topics such as soft computing techniques, composite materials engineering, design and manufacturing of composite materials, numerical modeling, prediction, and optimization of the composite materials performance, development of the hybrid models, and control of the composite material performance. Introduction of soft computing in the composite materials engineering Includes accurate and detailed analysis of the current state of the art in the field Development of the intelligent models for design and manufacturing of composite material Details composite material performance prediction Optimization of the manufacturing process of composite materials
Author | : Álvaro Herrero |
Publisher | : Springer |
Total Pages | : 471 |
Release | : 2015-05-31 |
Genre | : Technology & Engineering |
ISBN | : 3319197193 |
Download 10th International Conference on Soft Computing Models in Industrial and Environmental Applications Book in PDF, ePub and Kindle
This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at the 10th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2015), held in the beautiful and historic city of Burgos (Spain), in June 2015. Soft computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate and analyze very complex issues and phenomena. This Conference is mainly focused on its industrial and environmental applications. After a through peer-review process, the SOCO 2015 International Program Committee selected 41 papers, written by authors from 15 different countries. These papers are published in present conference proceedings, achieving an acceptance rate of 40%. The selection of papers was extremely rigorous in order to maintain the high quality of the conference and we would like to thank the members of the International Program Committees for their hard work during the review process. This is a crucial issue for creation of a high standard conference and the SOCO conference would not exist without their help.
Author | : Myong-Hun Chang |
Publisher | : Routledge |
Total Pages | : 149 |
Release | : 2015-01-09 |
Genre | : Business & Economics |
ISBN | : 1134582846 |
Download A Computational Model of Industry Dynamics Book in PDF, ePub and Kindle
The economics literature on industry dynamics contains a wide array of empirical works identifying a set of stylized facts. There have been several attempts at constructing analytical models to explain some of these regularities. These attempts are highly stylized and limited in scope to keep the analyses tractable. A general model of industry evolution capable of generating firm and industry behaviour that can match the data is needed. This book endeavours to explain many well-documented aspects of the evolution of industries over time. It uses an agent-based computational model in which artificial industries are created and grown to maturity in silico. While the firms in the model are assumed to have bounded rationality, they are nevertheless adaptive in the sense that their experience-based R&D efforts allow them to search for improved technologies. Given a technological environment subject to persistent and unexpected external shocks, the computationally generated industry remains in a perennial state of flux. The main objective of this study is to identify patterns that exist in the movements of firms as the industry evolves over time along the steady state in which the measured behaviour of the firms and the industry stochastically fluctuate around steady means. The computational model developed in this book is able to replicate many of the stylized facts from the empirical industrial organization literature, particularly as the facts pertain to the dynamics of firm entry and exit. Furthermore, the model allows examination of cross-industry variations in entry and exit patterns by systematically varying the characteristics of the market and the technological environment within which the computationally generated industry evolves. The model demonstrates that the computational approach based on boundedly rational agents in a dynamic setting can be useful and effective in carrying out both positive and normative economic analysis.
Author | : Davim, J. Paulo |
Publisher | : IGI Global |
Total Pages | : 464 |
Release | : 2012-02-29 |
Genre | : Technology & Engineering |
ISBN | : 1466601299 |
Download Computational Methods for Optimizing Manufacturing Technology: Models and Techniques Book in PDF, ePub and Kindle
"This book contains the latest research developments in manufacturing technology and its optimization, and demonstrates the fundamentals of new computational approaches and the range of their potential application"--Provided by publisher.
Author | : Pablo García Bringas |
Publisher | : Springer Nature |
Total Pages | : 676 |
Release | : 2022-10-11 |
Genre | : Technology & Engineering |
ISBN | : 303118050X |
Download 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) Book in PDF, ePub and Kindle
This book contains accepted papers presented at SOCO 2022 conference held in the beautiful and historic city of Salamanca (Spain), in September 2022. Soft computing represents a collection or set of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a thorough peer-review process, the 17th SOCO 2022 International Program Committee selected 64 papers which are published in these conference proceedings and represent an acceptance rate of 60%. In this relevant edition, a particular emphasis was put on the organization of special sessions. Seven special sessions were organized related to relevant topics such as machine learning and computer vision in Industry 4.0; time series forecasting in industrial and environmental applications; optimization, modeling, and control by soft computing techniques; soft computing applied to renewable energy systems; preprocessing big data in machine learning; tackling real-world problems with artificial intelligence. The selection of papers was extremely rigorous to maintain the high quality of the conference. We want to thank the members of the program committees for their hard work during the reviewing process. This is a crucial process for creating a high-standard conference; the SOCO conference would not exist without their help.
Author | : Hugo Sanjurjo González |
Publisher | : Springer Nature |
Total Pages | : 840 |
Release | : 2021-09-22 |
Genre | : Technology & Engineering |
ISBN | : 3030878694 |
Download 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) Book in PDF, ePub and Kindle
This book of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2021 conference held in the beautiful and historic city of Bilbao (Spain), in September 2021. Soft computing represents a collection or set of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a through peer-review process, the 16th SOCO 2021 International Program Committee selected 78 papers which are published in these conference proceedings and represents an acceptance rate of 48%. In this relevant edition, a special emphasis is put on the organization of special sessions. Seven special sessions are organized related to relevant topics as follows: applications of machine learning in computer vision; soft computing applied to autonomous robots and renewable energy systems; optimization, modeling, and control by soft computing techniques (OMCS); challenges and new approaches toward artificial intelligence deployments in real-world scenarios; time series forecasting in industrial and environmental applications (TSF); soft computing methods in manufacturing and management systems and applied machine learning. The selection of papers was extremely rigorous in order to maintain the high quality of the conference, and we would like to thank the members of the program committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference, and the SOCO conference would not exist without their help.
Author | : David Greenaway |
Publisher | : Springer |
Total Pages | : 727 |
Release | : 2016-11-09 |
Genre | : Business & Economics |
ISBN | : 0230305318 |
Download Palgrave Handbook of International Trade Book in PDF, ePub and Kindle
International trade is the core foundation of globalisation. This current and up-to-date volume brings together the finest academics working in the field today, containing contributions in key areas of policy research, such as, modelling frameworks, trade policy, trade and migration, trade and the environment, trade and unemployment.