This book comprehensively assesses the growing importance of
project data for project scheduling, risk analysis and control. It
discusses the relevance of project data for both researchers and
professionals, and illustrates why the collection, processing and
use of such data is not as straightforward as most people think.
The theme of this book is known in the literature as data-driven
project management and includes the discussion of using computer
algorithms, human intuition, and project data for managing projects
under risk. The book reviews the basic components of data-driven
project management by summarizing the current state-of-the-art
methodologies, including the latest computer and machine learning
algorithms and statistical methodologies, for project risk and
control. It highlights the importance of artificial project data
for academics, and describes the specific requirements such data
must meet. In turn, the book discusses a wide variety of
statistical methods available to generate these artificial
data and shows how they have helped researchers to develop
algorithms and tools to improve decision-making in project
management. Moreover, it examines the relevance of project data
from a professional standpoint and describes how professionals
should collect empirical project data for better decision-making.
Finally, the book introduces a new approach to data collection,
generation, and analysis for creating project databases, making it
relevant for academic researchers and professional project managers
alike.
General
| Imprint: |
Springer International Publishing AG
|
| Country of origin: |
Switzerland |
| Series: |
Management for Professionals |
| Release date: |
July 2023 |
| First published: |
2023 |
| Authors: |
Mario Vanhoucke
|
| Dimensions: |
235 x 155mm (L x W) |
| Pages: |
330 |
| Edition: |
1st ed. 2023 |
| ISBN-13: |
978-3-03-131784-2 |
| Categories: |
Books
|
| LSN: |
3-03-131784-X |
| Barcode: |
9783031317842 |
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