Download Free A Framework For Dynamic Planning Book in PDF and EPUB Free Download. You can read online A Framework For Dynamic Planning and write the review.

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.
In this publication a framework for parallel planning agents is developed and applied to planning problems ranging from domain independent planning to planning for autonomous vehicle systems. The framework contains both logic-based and cost-based planning approaches.
This book will help you understand how to integrate data-based decisions into the daily work of the school. It is a practical and relevant handbook for converting data into wise decision-making and planning. It will give you the skills to successfully make data-based decisions, measure student learning and program effectiveness, evaluate student progress, use data to improve instruction, integrate a "Dynamic Planning" process into the daily operation of your school.
Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, drug design, and protein folding. Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that tightly integrates a vast body of literature from several fields into a coherent source for teaching and reference in a wide variety of applications. Difficult mathematical material is explained through hundreds of examples and illustrations.
Supply chain management (SCM) has been stressed as a remedy to many of the underlying issues in the construction industry. However, the positive examples where SCM has been successfully utilised and diminished the lingering issues in construction is scarce. The question is why. Previous studies have stressed the importance of planning both the construction project as such but also the supply chain and the logistics. As an important part of SCM, supply chain planning (SCP) focuses on planning different aspects of the supply chain through involving different members of the supply chain in the planning process. SCP in construction is scarce as the planning of the logistics in general. Failing to plan the supply chain, involving supply chain members in the planning, and integrating the processes of planning the supply chains and the construction project can be one reason for the low numbers of successful SCM adoption in construction. In improving the SCP in construction, this thesis develops a SCP framework for construction that involves the main contractor, subcontractors, and suppliers. The aim is to improve SCP, collaboration, and eliminate many of the common problems in construction through a SCM and SCP perspective. The developed framework is based on an existing planning framework for sales and operations planning. This framework is generic and synthesises planning in general. It consists of identifying/developing: outcomes, input, organisation, process, key performance measurements, and IT-tools. It is thus necessary to investigate what these aspects means in a construction context. Four research objects will be fulfilled: Objective 1. Identify common logistical problems and linkages between them Objective 2. Develop a SCP process Objective 3. Develop a SCP organisation Objective 4. Identify performance measurements