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010   $a1-4471-6787-2
024 7 $a10.1007/978-1-4471-6787-7
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035   $a(EBL)4206566
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035   $a(PQKBTitleCode)TC0001597330
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035   $a(DE-He213)978-1-4471-6787-7
035   $a(MiAaPQ)EBC4206566
035   $a(PPN)190881976
035   $a(EXLCZ)993780000000094039
100   $a20151218d2016      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aManaging Complex, High Risk Projects $eA Guide to Basic and Advanced Project Management /$fby Franck Marle, Ludovic-Alexandre Vidal
205   $a1st ed. 2016.
210  1$aLondon :$cSpringer London :$cImprint: Springer,$d2016.
215   $a1 online resource (283 p.)
300   $aDescription based upon print version of record.
311   $a1-4471-6785-6 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $aIntroduction to project management -- Traditional approaches and tools for project management -- Understanding the complexity of projects -- Managing complex projects through risks : a change of paradigm -- Conclusions and perspectives.
330   $aMaximizing reader insights into project management and handling complexity-driven risks, this book explores propagation effects, non-linear consequences, loops, and the emergence of positive properties that may occur over the course of a project. This book presents an introduction to project management and analysis of traditional project management approaches and their limits regarding complexity. It also includes overviews of recent research works about project complexity modelling and management as well as project complexity-driven issues. Moreover, the authors propose their own new approaches, new methodologies and new tools which may be used by project managers and/or researchers and/or students in the management of their projects. These new elements include project complexity definitions and frameworks, multi-criteria approaches for project complexity measurement, advanced methodologies for project management (propagation studies to anticipate potential behaviour of the project, and clustering approaches to improve coordination between project actors) and industrial case studies (automotive industry, civil engineering, railroad industry, performing arts,?) and exercises (with their solutions) which will allow readers to improve and strengthen their knowledge and skills in the management of complex and (thus) risky projects.
606   $aIndustrial engineering
606   $aProduction engineering
606   $aTax accounting
606   $aTax laws
606   $aOperations research
606   $aDecision making
606   $aOrganization
606   $aPlanning
606   $aIndustrial and Production Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T22008
606   $aBusiness Taxation/Tax Law$3https://scigraph.springernature.com/ontologies/product-market-codes/511010
606   $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000
606   $aOrganization$3https://scigraph.springernature.com/ontologies/product-market-codes/516000
615  0$aIndustrial engineering.
615  0$aProduction engineering.
615  0$aTax accounting.
615  0$aTax laws.
615  0$aOperations research.
615  0$aDecision making.
615  0$aOrganization.
615  0$aPlanning.
615 14$aIndustrial and Production Engineering.
615 24$aBusiness Taxation/Tax Law.
615 24$aOperations Research/Decision Theory.
615 24$aOrganization.
676   $a620
700   $aMarle$b Franck$4aut$4http://id.loc.gov/vocabulary/relators/aut$01063491
702   $aVidal$b Ludovic-Alexandre$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910254216903321
996   $aManaging Complex, High Risk Projects$92532696
997   $aUNINA