Management Concepts for Civil Engineers
Author | : K. Anbuvelan |
Publisher | : Firewall Media |
Total Pages | : 348 |
Release | : 2005 |
Genre | : Civil engineering |
ISBN | : 9788170087755 |
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Author | : K. Anbuvelan |
Publisher | : Firewall Media |
Total Pages | : 348 |
Release | : 2005 |
Genre | : Civil engineering |
ISBN | : 9788170087755 |
Author | : Chris Hendrickson |
Publisher | : Chris Hendrickson |
Total Pages | : 425 |
Release | : 1989 |
Genre | : Construction industry |
ISBN | : 0137312660 |
Author | : Sarah Crowe |
Publisher | : |
Total Pages | : 0 |
Release | : 2016-06-02 |
Genre | : Technology & Engineering |
ISBN | : 9781682850152 |
This book is a compilation of chapters that discuss the most vital concepts and emerging trends in the field of civil engineering. Thoroughly elucidated in this book are significant concepts of construction economics, such as quantity surveying, property management, etc. It is compiled in such a manner, that it will provide in-depth knowledge about the various theories and their applications for construction economics procedures. The extensive content of this book will provide the readers with a comprehensive understanding of the emerging topics and trends of this subject.
Author | : Stephen Pryke |
Publisher | : John Wiley & Sons |
Total Pages | : 382 |
Release | : 2020-02-25 |
Genre | : Technology & Engineering |
ISBN | : 1119450683 |
Provides a unique overview of supply chain management (SCM) concepts, illustrating how the methodology can help enhance construction industry project success This book provides a unique appraisal of supply chain management (SCM) concepts brought together with lessons from industry and analysis gathered from extensive research on how supply chains are managed in the construction industry. The research from leading international academics has been drawn together with the experience from some of the industry's foremost SCM practitioners to provide both the experienced researcher and the industry practitioner a thorough grounding in its principles, as well as an illustration of SCM as a methodology for enhancing construction industry project success. The new edition of Successful Construction Supply Chain Management: Concepts and Case Studies incorporate chapters dealing with Building Information Modelling, sustainability, the ‘Demand Chain' in projects, the link between self-organizing networks and supply chains, decision-making, ‘Lean,’ and mega-projects. Other chapters cover risk transfer and allocation, behaviors, innovation, trust, supply chain design, alliances, and knowledge transfer. Supply Chain Management techniques have been used successfully in various industries, such as manufacturing and food processing, for decades Fully updated with new chapters dealing with key construction industry topics such as BIM, sustainability, the ‘Demand Chain' in projects, ‘Lean,’ mega-projects, and more Includes contributions from well established academics and practitioners from Network Rail, mainstream construction, and consultancy Illustrates how SCM methodologies can be used to enhance construction industry project success Successful Construction Supply Chain Management: Concepts and Case Studies is an ideal book for postgraduate students at MSc and PhD level studying the topic and for all construction management practitioners.
Author | : Ying-Kit Choi |
Publisher | : American Society of Civil Engineers |
Total Pages | : 0 |
Release | : 2017 |
Genre | : Civil engineering |
ISBN | : 9780784414736 |
Ying-Kit Choi details the guidelines, principles, and philosophy needed to produce design documents for heavy civil engineering projects.
Author | : Anthony Fasano |
Publisher | : John Wiley & Sons |
Total Pages | : 228 |
Release | : 2015-01-07 |
Genre | : Technology & Engineering |
ISBN | : 1118659643 |
Focusing on basic skills and tips for career enhancement, Engineer Your Own Success is a guide to improving efficiency and performance in any engineering field. It imparts valuable organization tips, communication advice, networking tactics, and practical assistance for preparing for the PE exam—every necessary skill for success. Authored by a highly renowned career coach, this book is a battle plan for climbing the rungs of any engineering ladder.
Author | : Information Resources Management Association |
Publisher | : |
Total Pages | : 0 |
Release | : 2016 |
Genre | : Civil engineering |
ISBN | : 9781466696198 |
This is a comprehensive multi-volume publication showcasing the best research on topics pertaining to road design, building maintenance and construction, transportation, earthquake engineering, waste and pollution management, and water resources management and engineering. It offers extensive coverage of crucial concepts in the field of civil engineering and environmental engineering.
Author | : William Edward Kelly |
Publisher | : |
Total Pages | : 466 |
Release | : 2017 |
Genre | : Electronic books |
ISBN | : 9780784414811 |
Engineering for Sustainable Communities: Principles and Practices defines and outlines sustainable engineering methods for real-world engineering projects.
Author | : K. Anbuvelan |
Publisher | : Firewall Media |
Total Pages | : 416 |
Release | : 2007 |
Genre | : |
ISBN | : 9788131801741 |
Author | : James-A. Goulet |
Publisher | : MIT Press |
Total Pages | : 298 |
Release | : 2020-04-14 |
Genre | : Computers |
ISBN | : 0262538709 |
An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step examples, illustrations, and exercises. This book introduces probabilistic machine learning concepts to civil engineering students and professionals, presenting key approaches and techniques in a way that is accessible to readers without a specialized background in statistics or computer science. It presents different methods clearly and directly, through step-by-step examples, illustrations, and exercises. Having mastered the material, readers will be able to understand the more advanced machine learning literature from which this book draws. The book presents key approaches in the three subfields of probabilistic machine learning: supervised learning, unsupervised learning, and reinforcement learning. It first covers the background knowledge required to understand machine learning, including linear algebra and probability theory. It goes on to present Bayesian estimation, which is behind the formulation of both supervised and unsupervised learning methods, and Markov chain Monte Carlo methods, which enable Bayesian estimation in certain complex cases. The book then covers approaches associated with supervised learning, including regression methods and classification methods, and notions associated with unsupervised learning, including clustering, dimensionality reduction, Bayesian networks, state-space models, and model calibration. Finally, the book introduces fundamental concepts of rational decisions in uncertain contexts and rational decision-making in uncertain and sequential contexts. Building on this, the book describes the basics of reinforcement learning, whereby a virtual agent learns how to make optimal decisions through trial and error while interacting with its environment.