Описание: Models & Methods for Project Selection systematically examines in this book treatment the latest work in the field of project selection modeling. The models presented are drawn from mathematical programming, decision theory, and finance. These models are examined in two categorical streams: the management science stream and the financial model stream. The book describes the assumptions and limitations of each model and provides appropriate solution methodologies. Its organization follows three main themes: *Criteria for Choice: Chapters 1-3 investigate the effect of the choice of optimization criteria on the results of the portfolio optimization problem. This group of chapters examines the multiobjective linear programming approach, discusses the appropriate methods for adjusting for time and risk in the project selection problem, and expands on the discussion of optimization models and NPV. *Risk and Uncertainty: Chapters 4-7 deal with uncertainty in the project selection problem. The models developed in this section are based on probability distribution assumptions or estimates and deal with uncertainty in some aspect of the project selection model. *Non-Linearity and Interdependence: These chapters deal with problems of non-linearity and interdependence as they arise in the project selection problem. The ability to handle non-linear problems allows the application of the methodology to a far wider range of problems. Similarly, the ability to model interdependence between projects - as in the Information Technology models - is an important step in generalization. Chapters 8, 9 and 10 present solution methodologies, which can be used to solve these most general project selection models.
Описание: Problems with high stakes, involving human perceptions and judgements, and whose resolutions have long-term repercussions, call for a rational approach to their solution. Strategic Decision Making provides an effective, formal methodology that gives assistance to such strategic level decision making problems. Focusing on applying the AHP to decision-making problems in engineering, Strategic Decision Making explores the three main endeavours of human existence: business, defence and governance. Many years of successfully applying Strategic Decision Making in these domains have created extensive results covering many complex planning, resource, allocation and priority setting problems throughout industry and business. Case studies drawn from years of successful, practical application experience. Discusses applications of decision making for real life problems. Worked examples and solutions to problems throughout. The reader will gain comprehensive exposure to the extent of assistance that a formal methodology, such as AHP, can provide to the decision maker in evolving decisions in complex and varied domains. Decision makers, in business and industry around the world, will find this valuable for practical use as a working tool.
Автор: Pumain Denise Название: Hierarchy in Natural and Social Sciences ISBN: 1402041268 ISBN-13(EAN): 9781402041266 Издательство: Springer Рейтинг: Цена: 15894 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reviews ancient and modern representations and explanations of hierarchies, and compares their relevance in fields, such as language, societies, cities, and living species. This book throws light on concepts and models such as scaling laws, fractals and self-organisation that are fundamental in the dynamics and morphology of complex systems.
Описание: This book offers an advanced introduction to the models of credit risk valuation. It concentrates on firm-value and reduced-form approaches and their applications in practice. Additionally, the book includes new models for valuing derivative securities with credit risk, focussing on options and forward contracts subject to counterparty default risk, but also treating options on credit-risky bonds and credit derivatives. The text provides detailed descriptions of the state-of-the-art martingale methods and advanced numerical implementations based on multi-variate trees used to price derivative credit risk. Numerical examples illustrate the effects of credit risk on the prices of financial derivatives.
Описание: It is now being recognized that ontological principles can be fruitfully applied to and developed further in various fields within the broader information systems area. This development has lead to ontology-driven information systems (ODIS), which is a concept that can open up new ways of thinking about ontologies and the Information Systems вЂ” both structurally and temporally.The primary objective of Ontologies: A Handbook of Principles, Concepts and Applications in Information Systems is to mobilize a collective awareness in the research community to the leading and emerging developments in ODIS, and consequently, highlight the enormous potential of ODIS research to both fundamentally transform and create innovative solutions to several problems in various domains. This book is a compilation of 32 leading-edge chapter contributions from some of the top researchers in the community working in various fundamental and applied disciplines related to ODIS. These chapters are organized into four broad themes: Foundations of ODIS, Ontological Engineering, ODIS Architectures, and ODIS Applications. These four themes together describe the state-of-the-art in ODIS and give a complete perspective on the problems, solutions and open research questions in this field. The foundations of ODIS are addressed in Chapters 1-6. The principles and techniques of ontological engineering in the context of ODIS are covered in Chapters 7-14. A collection of ODIS architectures in a variety of contexts is presented in Chapters 15-24, and lastly, a set of important and emerging ODIS applications is presented in Chapters 25-32.We expect this book to trigger innovative thought processes that will open up significant new domains in ODIS research. Numerous open research questions, challenges and opportunities can be found throughout this book and we hope this will stimulate significant research over the years.
Описание: The work of design engineers is very individual, using personal approaches and methods, designers have an individual way of seeing a problem. In practice personal notes are used by every designer, often general comments about technical problems and situations. There are a variety of personal methods of supporting the design process and computer tools can make the whole design process more efficient. In professional practice you continually add to your existing knowledge base (notes), for your own purposes. In this case the intelligent personal assistant fulfils the role of those active notes. Based on real industrial procedures, the process is the result of many years of design experience.Numerous examples for practical use by professionals and students interested in real implementations of knowledge based systems in engineering.Two major ideas are connected: a computer system integrating computer design tools and a computer system fulfilling the role of an intelligent personal assistant.This user-friendly approach to the main ideas, concepts and techniques of an intelligent personal assistant, demonstrates it's unique position as a significant and fruitful knowledge based technique in engineering design.Uniquely, the book deals with areas specifically important to designers, knowledge engineers and engineering software designers.
Описание: Praise for the Second Edition " full of vivid and thought-provoking anecdotes... needs to be read by anyone with a serious interest in research and marketing." Research Magazine "Shmueli et al. have done a wonderful job in presenting the field
Описание: This volume presents a comprehensive first course in the Monte Carlo method which will be suitable for graduate and undergraduate students in the mathematical sciences and engineering, principally in operations research, statistics, mathematics, and computer science. The reader is assumed to have a sound understanding of calculus, introductory matrix analysis, probability, and intermediate statistics, but otherwise the book is self-contained.As well as a thorough exploration of the important concepts of the Monte Carlo method, the volume includes over 90 algorithms which allow the reader to move rapidly from the concepts to putting them into practice. The book also contains numerous exercises, many of them hands-on implementations of selected algorithms to demonstrate the application of these ideas in realistic settings. Software, freely available via ftp and portable across computing platforms, provides programs for pseudorandom number generation and statistical sample path data analysis. The software is suitable for use with the exercises as well as for more general applications.For professional mathematical scientists and engineers this book provides a ready reference to the Monte Carlo method, especially to implementatable algorithms for performing sampling experiments on a computer and for analyzing their results.
Описание: Exploring core management themes with a critical approach, this bestselling text uses concepts, applications and skill building to develop your personal and professional skills to help you become a confident manager.
Описание: Explains supply chain configuration problem and offers solutions that combine the mathematical aspects of problem solving with applications in information technology. This work covers advanced technologies and solutions in supply chain configuration. It is suitable for those who specialize in operations management and supply chain configuration.