Download or read book Optimal Resource Allocation written by Igor A. Ushakov and published by John Wiley & Sons. This book was released on 2013-05-17 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: A UNIQUE ENGINEERING AND STATISTICAL APPROACH TO OPTIMAL RESOURCE ALLOCATION Optimal Resource Allocation: With Practical Statistical Applications and Theory features the application of probabilistic and statistical methods used in reliability engineering during the different phases of life cycles of technical systems. Bridging the gap between reliability engineering and applied mathematics, the book outlines different approaches to optimal resource allocation and various applications of models and algorithms for solving real-world problems. In addition, the fundamental background on optimization theory and various illustrative numerical examples are provided. The book also features: An overview of various approaches to optimal resource allocation, from classical Lagrange methods to modern algorithms based on ideas of evolution in biology Numerous exercises and case studies from a variety of areas, including communications, transportation, energy transmission, and counterterrorism protection The applied methods of optimization with various methods of optimal redundancy problem solutions as well as the numerical examples and statistical methods needed to solve the problems Practical thoughts, opinions, and judgments on real-world applications of reliability theory and solves practical problems using mathematical models and algorithms Optimal Resource Allocation is a must-have guide for electrical, mechanical, and reliability engineers dealing with engineering design and optimal reliability problems. In addition, the book is excellent for graduate and PhD-level courses in reliability theory and optimization.

Download or read book Resource Allocation in Project Management written by Christoph Schwindt and published by Springer Science & Business Media. This book was released on 2005-11-10 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is devoted to structural issues, algorithms, and applications of resource allocation problems in project management. Special emphasis is given to a unifying framework within which a large variety of project scheduling problems can be treated. Those problems involve general temporal constraints among project activities, different types of scarce resources, and a broad class of regular and nonregular objective functions ranging from time-based and financial to resource levelling functions. The diversity of the models proposed allows for covering many features arising in scheduling applications beyond the field of project management such as short-term production planning in the manufacturing or process industries.

Download or read book Optimal Resource Allocation for Projects written by Collin Carbno and published by . This book was released on 1999 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt: Out of the opportunities available management must decide which ones will be pursued and how many resources will be assigned to each. Usually, these opportunities (projects) are evaluated for economic feasibility, and then the favorable ones pursued. Several questions arise regarding the allocation of available resources to the approved projects: In which order should the projects be done, or should they be done concurrently? How many resources should be assigned to each project? Given the multitude of factors affecting such decisions, one would expect complex formulas to describe the optimal allocation of resources. Contrary to expectations, the formulas describing optimal allocation are intelligible and practical in use.

Download or read book Optimal Resource Allocation in a Fixed Project Duration written by Sami A. Beidoun and published by . This book was released on 1985 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Selected Techniques for Analysis of Optimal Resource Allocation in Projects with Respect to Time and Cost written by Eldin John Ehrlich and published by . This book was released on 1968 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Optimal Resource Allocation in Coordinated Multi Cell Systems written by Emil Björnson and published by Now Pub. This book was released on 2013 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal Resource Allocation in Coordinated Multi-Cell Systems provides a solid grounding and understanding for optimization of practical multi-cell systems and will be of interest to all researchers and engineers working on the practical design of such systems.

Download or read book A Sample path Optimization Approach for Optimal Resource Allocation in Stochastic Projects written by and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this research has been to develop an optimization method that can be utilized to determine optimal resource allocations for projects in an uncertain (stochastic) environment. The project under consideration is modeled as a stochastic activity network (SAN) where the workload requirements for each activity are assumed to be random with some specified distribution. Our concern is the time/cost tradeoff problem where the project manager can affect the duration of each activity in the project by allocating more or less of a scarce resource to the competing activities (at some cost). The objective is therefore to minimize the total expected cost of the project by assigning the resource to the various activities while simultaneously respecting precedence relationships among the activities and constraints on the total resource available. In particular we would like to analyze stochastic projects of reasonable size (>100 activities) and provide an optimization tool that achieves results in sufficiently small amount of time to make its application practical for realistic project management scenarios.

Download or read book Real Time Optimization written by Dominique Bonvin and published by MDPI. This book was released on 2018-07-05 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Real-Time Optimization" that was published in Processes

Download or read book Plant Resource Allocation written by Fakhri A. Bazzaz and published by Elsevier. This book was released on 1997-07-23 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: Plant Resource Allocation is an exploration of the latest insights into the theory and functioning of plant resource allocation. An international team of physiological ecologists has prepared chapters devoted to the fundamental topics of resource allocation. - Comprehensive coverage of all aspects of resource allocation in plants - All contributors are leaders in their respective fields

Download or read book An Algorithm for Determining Optimal Resource Allocation in Stochastic Activity Networks written by Adam J Rudolph and published by . This book was released on 2008 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keywords: activity networks, stochastic optimization, project scheduling, resource allocation, phase type distribution.

Download or read book Applied Risk Analysis for Guiding Homeland Security Policy and Decisions written by Samrat Chatterjee and published by John Wiley & Sons. This book was released on 2021-02-24 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents various challenges faced by security policy makers and risk analysts, and mathematical approaches that inform homeland security policy development and decision support Compiled by a group of highly qualified editors, this book provides a clear connection between risk science and homeland security policy making and includes top-notch contributions that uniquely highlight the role of risk analysis for informing homeland security policy decisions. Featuring discussions on various challenges faced in homeland security risk analysis, the book seamlessly divides the subject of risk analysis for homeland security into manageable chapters, which are organized by the concept of risk-informed decisions, methodology for applying risk analysis, and relevant examples and case studies. Applied Risk Analysis for Guiding Homeland Security Policy and Decisions offers an enlightening overview of risk analysis methods for homeland security. For instance, it presents readers with an exploration of radiological and nuclear risk assessment, along with analysis of uncertainties in radiological and nuclear pathways. It covers the advances in risk analysis for border security, as well as for cyber security. Other topics covered include: strengthening points of entry; systems modeling for rapid containment and casualty mitigation; and disaster preparedness and critical infrastructure resilience. Highlights how risk analysis helps in the decision-making process for homeland security policy Presents specific examples that detail how various risk analysis methods provide decision support for homeland security policy makers and risk analysts Describes numerous case studies from academic, government, and industrial perspectives that apply risk analysis methods for addressing challenges within the U.S. Department of Homeland Security (DHS) Offers detailed information regarding each of the five DHS missions: prevent terrorism and enhance security; secure and manage our borders; enforce and administer our immigration laws; safeguard and secure cyberspace; and strengthen national preparedness and resilience Discusses the various approaches and challenges faced in homeland risk analysis and identifies improvements and methodological advances that influenced DHS to adopt an increasingly risk-informed basis for decision-making Written by top educators and professionals who clearly illustrate the link between risk science and homeland security policy making Applied Risk Analysis for Guiding Homeland Security Policy and Decisions is an excellent textbook and/or supplement for upper-undergraduate and graduate-level courses related to homeland security risk analysis. It will also be an extremely beneficial resource and reference for homeland security policy analysts, risk analysts, and policymakers from private and public sectors, as well as researchers, academics, and practitioners who utilize security risk analysis methods.

Download or read book Optimal Scheduling and Resource Allocation in Project Networks written by Amar Alain Chaker and published by . This book was released on 1973 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book How to Compose New Product Development Portfolios written by Hossein Nikpayam and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The process of allocating scarce resources to competing internal and external new product development (NPD) projects comprises two key phases: (i) the collection of relevant information about the projects under consideration and (ii) the allocation of resources to the most promising projects. What makes the management of resource allocation processes challenging is that firms must carefully control the tensions that arise between these two phases. Most notably, a higher level of allocation flexibility in the second phase allows firms to better allocate their resources based on the information they obtain to the most promising projects; however, greater allocation flexibility also induces fiercer competition for resources among the projects, which can severely undermine the reliability of a firm's information acquisition efforts in the first phase and thus deteriorate its overall allocation decisions. Hence, we ask the following question: Which resource allocation policies can best support a firm in coordinating its (ex ante) information acquisition efforts with an optimal degree of resource commitment when the firm contemplates investing in internal and external NPD projects? We study this question by developing a principal-multiagent model, and we identify different contingencies that strongly impact a firm's optimal choice of resource allocation policy, including the projects' market potential and riskiness, the quality of acquired information, and the severity of agency issues. We find that increasing resource allocation flexibility is not always a prudent strategy and that maintaining a combination of dedicated and flexible resource buckets may be an effective way for firms to limit their cost of information acquisition without compromising the scope and composition of their NPD portfolios. We complement these foundational insights with recommendations on how to provide appropriate incentives during the resource allocation process.

Download or read book An Optimal Resource Allocation Model for Corporate Tactical Planning written by and published by . This book was released on 1972 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Time optimal Multiple resource Allocation in a Project Network Within a Complex of operations Framework written by R. Slowinski and published by . This book was released on 1977 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Rate and Direction of Inventive Activity written by National Bureau of Economic Research and published by Princeton University Press. This book was released on 2015-12-08 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers here range from description and analysis of how our political economy allocates its inventive effort, to studies of the decision making process in specific industrial laboratories. Originally published in 1962. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Download or read book Machine Learning for Future Wireless Communications written by Fa-Long Luo and published by John Wiley & Sons. This book was released on 2020-02-10 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.