Modeling Risk Management in Sustainable Construction

Inbunden, Engelska, 2010

Del i serien Computational Risk Management

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Beskrivning

In this edited volume, we present the state-of-the-art views of the perspective of enterprise risk management, to include frameworks and controls in the ERM process with respect to supply chains, constructions, and project, energy, environmental and sustainable development risk management. The bulk of this volume is devoted to presenting a number of modeling approaches that have been (or could be) applied to enterprise risk management in construction.

Produktinformation

Utgivningsdatum:2010-10-31
Mått:155 x 235 x undefined mm
Format:Inbunden
Språk:Engelska
Serie:Computational Risk Management
Antal sidor:426
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783642152429

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Mer om författaren

Desheng Wu is a Special-term Professor at University of Chinese Academy of Sciences, Beijing, China, and a Professor at Stockholm University, Sweden. He has published over 150 ISI-indexed papers in refereed journals, such as Production and Operations Management, Decision Sciences, Risk Analysis, and IEEE Transactions on Systems, Man, and Cybernetics, as well as 7 books with publishers like Springer. He is an elected member of Academia Europaea (The Academy of Europe), the European Academy of Sciences and Arts, and the International Eurasian Academy of Sciences. He has served as an associate editor and a guest editor for several journals, such as Risk Analysis, IEEE Transactions on Systems, Man, and Cybernetics, the Annals of Operations Research, Computers and Operations Research, the International Journal of Production Economics, and Omega. He is the editorof Springer’s book series on computational risk management.

Innehållsförteckning

Enterprise Risk-Management in Supply Chains.- Enterprise Risk Management in Construction.- Enterprise Risk Management in Projects.- Energy Risk Management.- Environmental Risk Management.- Financial Risk.- Sustainable Risk Management Tools.- Enterprise Risk Management Modeling.