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Dynamic and Stochastic Multi-Project Planning
Philipp Melchiors
出版Springer, 2015-04-24
主題Business & Economics / ManagementBusiness & Economics / Operations ResearchBusiness & Economics / Production & Operations ManagementMathematics / AppliedBusiness & Economics / Project ManagementBusiness & Economics / Research & DevelopmentMathematics / Optimization
ISBN33190454079783319045405
URLhttp://books.google.com.hk/books?id=waOoCAAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋This book deals with dynamic and stochastic methods for multi-project planning. Based on the idea of using queueing networks for the analysis of dynamic-stochastic multi-project environments this book addresses two problems: detailed scheduling of project activities, and integrated order acceptance and capacity planning. In an extensive simulation study, the book thoroughly investigates existing scheduling policies. To obtain optimal and near optimal scheduling policies new models and algorithms are proposed based on the theory of Markov decision processes and Approximate Dynamic programming. Then the book presents a new model for the effective computation of optimal policies based on a Markov decision process. Finally, the book provides insights into the structure of optimal policies.