LEADER 00000nam a2200493 i 4500 
001    978-3-030-14251-3 
003    DE-He213 
005    20200211134143.0 
006    m     o  d         
007    cr nn 008maaau 
008    190523s2020    sz      s         0 eng d 
020    9783030142513|q(electronic bk.) 
020    9783030142506|q(paper) 
024 7  10.1007/978-3-030-14251-3|2doi 
040    GP|cGP|erda 
041 0  eng 
050  4 HD61 
082 04 624.0681|223 
100 1  Damnjanovic, Ivan,|eauthor 
245 10 Data analytics for engineering and construction project 
       risk management /|cby Ivan Damnjanovic, Kenneth 
264  1 Cham :|bSpringer International Publishing :|bImprint: 
300    1 online resource (xv, 379 pages) :|billustrations (some 
       color), digital ;|c24 cm 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file|bPDF|2rda 
490 1  Risk, systems and decisions,|x2626-6717 
505 0  1.Introduction to Risk and Uncertainty -- 2.Project Risk 
       Management Framework -- 3.Project Data -- 4.Probability 
       Theory Background -- 5.Project Planning and Estimating -- 
       6.Project Monitoring and Control -- 7.Case Studies and 
       Implementation Framework 
520    This book provides a step-by-step guidance on how to 
       implement analytical methods in project risk management. 
       The text focuses on engineering design and construction 
       projects and as such is suitable for graduate students in 
       engineering, construction, or project management, as well 
       as practitioners aiming to develop, improve, and/or 
       simplify corporate project management processes. The book 
       places emphasis on building data-driven models for 
       additive-incremental risks, where data can be collected on
       project sites, assembled from queries of corporate 
       databases, and/or generated using procedures for eliciting
       experts' judgments. While the presented models are 
       mathematically inspired, they are nothing beyond what an 
       engineering graduate is expected to know: some algebra, a 
       little calculus, a little statistics, and, especially, 
       undergraduate-level understanding of the probability 
       theory. The book is organized in three parts and fourteen 
       chapters. In Part I the authors provide the general 
       introduction to risk and uncertainty analysis applied to 
       engineering construction projects. The basic formulations 
       and the methods for risk assessment used during project 
       planning phase are discussed in Part II, while in Part III
       the authors present the methods for monitoring and 
       (re)assessment of risks during project execution 
650  0 Risk management 
650  0 Project management 
650 14 Construction Management 
650 24 Quality Control, Reliability, Safety and Risk 
650 24 Project Management 
700 1  Reinschmidt, Kenneth,|eauthor 
710 2  SpringerLink (Online service) 
773 0  |tSpringer eBooks 
830  0 Risk, systems and decisions 
856 40 |uhttps://doi.org/10.1007/978-3-030-14251-3