Planning Under Uncertainty PDF Download

Author: Gerd Infanger
Publisher: Boyd & Fraser Publishing Company
ISBN:
Category : Business & Economics
Languages : en
Pages : 168

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Author: Vincent A. W. J. Marchau
Publisher: Springer
ISBN: 3030052524
Category : Business & Economics
Languages : en
Pages : 408

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Book Description
This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

Author: Robert J. Lempert
Publisher: Rand Corporation
ISBN: 0833091670
Category : History
Languages : en
Pages : 109

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Book Description
Defense planning faces significant uncertainties. This report applies robust decision making (RDM) to the munitions mix challenge, to demonstrate how RDM could help defense planners make plans more robust to a wide range of hard-to-predict futures.

Author: Mir Saman Pishvaee
Publisher: Academic Press
ISBN: 0128209003
Category : Technology & Engineering
Languages : en
Pages : 286

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Book Description
Biomass to Biofuel Supply Chain Design and Planning under Uncertainty: Concepts and Quantitative Methods explores the design and optimization of biomass-to-biofuel supply chains for commercial-scale implementation of biofuel projects by considering the problems and challenges encountered in real supply chains. By offering a fresh approach and discussing a wide range of quantitative methods, the book enables researchers and practitioners to develop hybrid methods that integrate the advantages and features of two or more methods in one decision-making framework for the efficient optimization of biofuel supply chains, especially for complex supply chain models. Combining supply chain management and modeling techniques in a single volume, the book is beneficial for graduate students who no longer need to consult subject-specific books alongside mathematical modeling textbooks. The book consists of two main parts. The first part describes the key components of biofuel supply chains, including biomass production, harvesting, collection, storage, preprocessing, conversion, transportation, and distribution. It also provides a comprehensive review of the concepts, problems, and opportunities associated with biofuel supply chains, such as types and properties of the feedstocks and fuel products, decision-making levels, sustainability concepts, uncertainty analysis and risk management, as well as integration of biomass supply chain with other supply chains. The second part focuses on modeling and optimization of biomass-to-biofuel supply chains under uncertainty, using different quantitative methods to determine optimal design. - Proposes a general multi-level framework for the optimal design and operation of biomass-to-biofuel supply chains through quantitative analysis and modeling, including different biomass and waste biomass feedstock, production pathways, technology options, transportation modes, and final products - Explores how modeling and optimization tools can be utilized to address sustainability issues in biofuel supply chains by simultaneously assessing and identifying sustainable solutions - Presents several case studies with different regional constraints to evaluate the practical applicability of different optimization methods and compares their performance in real-world situations - Includes General Algebraic Modeling System (GAMS) codes for solving biomass supply chain optimization problems discussed in different chapters

Author: John Kimball Friend
Publisher: Routledge
ISBN: 0750663731
Category : Architecture
Languages : en
Pages : 413

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Book Description
"In this extended third edition, the authors introduce fifteen short contributions that present lessons from varied international experiences in adapting the Strategic Choice Approach to guide decisions in settings ranging from the re-routing of a controversial city carnival procession to national policy for the management of nuclear waste."--Jacket.

Author: Malik Ghallab
Publisher: Elsevier
ISBN: 1558608567
Category : Business & Economics
Languages : en
Pages : 665

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Author: Andrea Kahn
Publisher: Routledge
ISBN: 0429514433
Category : Architecture
Languages : en
Pages : 391

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Book Description
In the era of the Anthropocene, site matters are more pressing than ever. Building on the concepts, theories, and multi-disciplinary approaches raised in the first edition, this publication strives to address the changes that have taken place over the last 15 years with new material to complement and re-position the initial volume. Reaching across design disciplines, this highly illustrated anthology assembles essays from architects, landscape architects, urban designers, planners, historians, and artists to explore ways to physically and conceptually engage site. Thoughtful discourse and empirically grounded pieces combine to provide the language and theory to contextualize the meanings of site in the built environment. The increasingly complex hybridity of constructed environments today demands new tools for thinking about and working with site. Drawing contributions from outside and within the traditional design disciplines, this edition will trace important developments in site thinking with new essays on topics such as climate change, landscape as infrastructure, shifts from global to planetary urbanization debates, and the proliferation of participatory site transformation practices. Edited by two leading practitioners and academics, Site Matters juxtaposes timeless contributions from individuals including Elizabeth Meyer, Robert Beauregard, and Robin Dripps with original new writings from Peter Marcuse, Jane Wolff, Neil Brenner, and Thaisa Way, amongst others, to recontextualize and reignite the debate around site. An ideal text for students, academics, and researchers interested in site and design theory.

Author: Juping Shao
Publisher: Springer
ISBN: 3662472503
Category : Business & Economics
Languages : en
Pages : 197

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Book Description
​The subject of this book is supply chain logistics planning optimization under multiple uncertainties, the key issue in supply chain management. Focusing on the strategic-alliance three-level supply chain, the model of supply chain logistics planning was established in terms of the market prices and the market requirements as random variables of manufactured goods with random expected value programming theory, and the hybrid intelligence algorithm solution model was designed. Aiming at the decentralized control supply chain, in which the nodes were unlimited expansion, the chance-constrained stochastic programming model was created in order to obtain optimal decision-making at a certain confidence level. In addition, the hybrid intelligence algorithm model was designed to solve the problem of supply chain logistics planning with the prices of the raw-materials supply market of the upstream enterprises and the prices of market demand for products of the downstream enterprises as random variables in the supply chain unit. Aimed at the three-stage mixed control supply chain, a logistics planning model was designed using fuzzy random programming theory with customer demand as fuzzy random variables and a hybrid intelligence algorithm solution was created. The research has significance both in theory and practice. Its theoretical significance is that the research can complement and perfect existing supply chain planning in terms of quantification. Its practical significance is that the results will guide companies in supply chain logistics planning in the uncertain environment.

Author: Volk, Rebekka
Publisher: KIT Scientific Publishing
ISBN: 3731505924
Category : Business
Languages : en
Pages : 524

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Book Description
A project planning and decision support model is developed and applied to identify and reduce risk and uncertainty in deconstruction project planning. It allows calculating building inventories based on sensor information and construction standards and it computes robust project plans for different scenarios with multiple modes, constrained renewable resources and locations. A reactive and flexible planning element is proposed in the case of schedule infeasibility during project execution.

Author: Tsan-Ming Choi
Publisher: Springer Science & Business Media
ISBN: 3642192572
Category : Business & Economics
Languages : en
Pages : 651

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Book Description
Channel coordination is a core subject of supply chain management. Over the past decade, much research effort has been devoted to exploring the detailed mechanisms for achieving supply chain coordination under uncertainty, generating many fruitful analytical and empirical results. Despite the abundance of research results, there is an absence of a comprehensive reference source that provides state-of-the-art findings on both theoretical and applied research on the subject. In addition, with the advance of knowledge and technologies, many new topics on supply chain coordination under uncertainty have appeared in recent years. This handbook extensively examines supply chain coordination challenges with a focal point on discovering innovative measures that can help tackle the existing and emerging challenges. The book is organized into five parts, which include chapters on innovative analytical models for coordination, channel power and bargaining, technological advancements and applications, empirical analysis, cases studies and review. This handbook provides new empirical and analytical results with precious insights, which will not only help supply chain agents to understand more about the latest measures for supply chain coordination under uncertainty, but also help practitioners and researchers to know how to improve supply chain performance based on innovative methods.