001471581 000__ 06783cam\\2200637Mi\4500
001471581 001__ 1471581
001471581 003__ OCoLC
001471581 005__ 20230908003304.0
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001471581 007__ cr\cn\nnnunnun
001471581 008__ 230708s2023\\\\sz\\\\\\o\\\\\001\0\eng\d
001471581 019__ $$a1389485325$$a1390096982
001471581 020__ $$a3031317858
001471581 020__ $$a9783031317859$$q(electronic bk.)
001471581 020__ $$z303131784X
001471581 020__ $$z9783031317842
001471581 0247_ $$a10.1007/978-3-031-31785-9$$2doi
001471581 035__ $$aSP(OCoLC)1389613855
001471581 040__ $$aEBLCP$$beng$$erda$$cEBLCP$$dYDX$$dGW5XE$$dOH1$$dN$T$$dSFB
001471581 049__ $$aISEA
001471581 050_4 $$aHD69.P75
001471581 08204 $$a658.4040285
001471581 1001_ $$aVanhoucke, Mario,$$eauthor.
001471581 24514 $$aThe illusion of control :$$bproject data, computer algorithms and human intuition for project management and control /$$cMario Vanhoucke.
001471581 264_1 $$aCham :$$bSpringer,$$c2023.
001471581 300__ $$a1 online resource (331 p.).
001471581 336__ $$atext$$btxt$$2rdacontent
001471581 337__ $$acomputer$$bc$$2rdamedia
001471581 338__ $$aonline resource$$bcr$$2rdacarrier
001471581 4901_ $$aManagement for Professionals Series
001471581 500__ $$aDescription based upon print version of record.
001471581 504__ $$aIncludes bibliographical references.
001471581 5050_ $$aIntro -- Preface -- Acknowledgements -- Contents -- Part I Data-Driven Project Management -- 1 About This Book -- 1.1 Theory and Practice -- 1.2 Data and People -- 1.3 Book Outline -- 1.4 Keep Reading -- References -- 2 Each Book Tells a Story -- 2.1 Bookstore -- 2.2 Only a Click Away -- 2.3 Keep Writing -- References -- 3 The Data-Driven Project Manager -- 3.1 Three Components -- 3.2 A Reference Point -- 3.3 The Beauty of Details -- 3.4 Literature (in a Nutshell) -- References -- Part II What Academics Do -- 4 Understanding -- 4.1 Measuring Time -- 4.2 Shedding New Light -- 4.3 Thank You, Tony -- References -- 5 Wisdom -- 5.1 Tolerance Limits -- 5.2 Control Points -- 5.3 Signal Quality -- 5.4 Mission Accomplished -- References -- 6 Learning -- 6.1 Schedule -- 6.2 Risk -- 6.3 Control -- 6.4 Torture -- References -- Part III What Professionals Want -- 7 Control Efficiency -- 7.1 Effort of Control -- Top-Down Project Control -- Bottom-up Project Control -- 7.2 Quality of Actions -- 7.3 Accuracy Pays Off -- 7.4 Empirical Evidence -- 7.5 The Control Room -- Afterthought -- References -- 8 Analytical Project Control -- 8.1 Project Control Methods (Revisited) -- 8.2 Best of Both Worlds -- 8.3 The Signal (Not the Noise) -- 8.4 Hope and Dream -- References -- 9 Reference Class Forecasting -- 9.1 Outside View -- 9.2 Construction Project (Study 1) -- 9.3 Hybrid Approach (Study 2) -- 9.4 Similarity Properties (Study 3) -- 9.5 Thank You, Bent -- References -- Part IV About Project Data -- 10 Project Data -- 10.1 Where Are We Now? -- 10.2 Two Types of Project Data -- Reference -- 11 Artificial Projects -- 11.1 Random Data -- 11.2 Structured Data -- 11.3 Generating Data -- 11.4 Twilight Zone -- 11.5 Data and Algorithms -- 11.6 Diverse Data -- 11.7 Core Data -- 11.8 Equivalent Data -- 11.9 From a Distance -- 11.10 Final Words -- References -- 12 Progress Data.
001471581 5058_ $$a12.1 Imagination -- 12.2 Variation Model -- 12.3 Risk Model -- 12.4 Scenario Model -- 12.5 Fiction -- References -- 13 Empirical Projects -- 13.1 Curiosity -- 13.2 Classification -- 13.3 New Library -- 13.4 Reality -- References -- 14 Calibrating Data -- 14.1 Calibrating Data -- 14.2 Partitioning Heuristic -- 14.3 Human Partitioning (the rider) -- 14.4 Automatic Partitioning (the horse) -- 14.5 Calibration Results -- 14.6 Conclusion -- References -- 15 More Data -- 15.1 Resources -- 15.2 Modes -- 15.3 Subgraphs -- 15.4 Skills -- 15.5 Reality -- 15.6 Portfolio -- References -- Part V Afterword -- 16 The Perfect Researcher -- 16.1 Doubt -- 16.2 Ignorance -- 16.3 Wildness -- 16.4 Serendipity -- References -- A Operations Research &amp -- Scheduling Group -- B Earned Value Management (Glossary) -- C Properties of Similarity -- D Patterson Format -- E Network and Resource Indicators -- F Network Resources = NetRes -- G Example Project Card -- H OR&amp -- S Project Datasets -- References.
001471581 506__ $$aAccess limited to authorized users.
001471581 520__ $$aThis book comprehensively assesses the growing importance of project data for project scheduling, risk analysis and control. It discusses the relevance of project data for both researchers and professionals, and illustrates why the collection, processing and use of such data is not as straightforward as most people think. The theme of this book is known in the literature as data-driven project management and includes the discussion of using computer algorithms, human intuition, and project data for managing projects under risk. The book reviews the basic components of data-driven project management by summarizing the current state-of-the-art methodologies, including the latest computer and machine learning algorithms and statistical methodologies, for project risk and control. It highlights the importance of artificial project data for academics, and describes the specific requirements such data must meet. In turn, the book discusses a wide variety of statistical methods available to generate these artificial data and shows how they have helped researchers to develop algorithms and tools to improve decision-making in project management. Moreover, it examines the relevance of project data from a professional standpoint and describes how professionals should collect empirical project data for better decision-making. Finally, the book introduces a new approach to data collection, generation, and analysis for creating project databases, making it relevant for academic researchers and professional project managers alike.
001471581 650_0 $$aProject management$$xData processing.
001471581 650_0 $$aData mining.
001471581 650_0 $$aComputer algorithms.
001471581 655_0 $$aElectronic books.
001471581 77608 $$iPrint version:$$aVanhoucke, Mario$$tThe Illusion of Control$$dCham : Springer,c2023$$z9783031317842
001471581 830_0 $$aManagement for professionals.
001471581 852__ $$bebk
001471581 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-31785-9$$zOnline Access$$91397441.1
001471581 909CO $$ooai:library.usi.edu:1471581$$pGLOBAL_SET
001471581 980__ $$aBIB
001471581 980__ $$aEBOOK
001471581 982__ $$aEbook
001471581 983__ $$aOnline
001471581 994__ $$a92$$bISE