Just as importantly, this unique guide provides R&D managers with clear guidelines on how to effectively tailor the various selection methods discussed to meet the demands of their organizations' unique situations and goals.

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. *Risk and Uncertainty: Chapters 4-7 deal with uncertainty in the project selection problem. *Non-Linearity and Interdependence: These chapters deal with problems of non-linearity and interdependence as they arise in the project selection problem. Chapters 8, 9 and 10 present solution methodologies, which can be used to solve these most general project selection models.

Today’s leading organizations recognize the importance of research and development (R&D) to maintain and grow market share. If companies want to survive into the future, they must accelerate their R&D-to-market cycles or find themselves behind the competition. Project Management for Research and Development: Guiding Innovation for Positive R&D Outcomes explains how to apply proven project management methods to obtain positive outcomes in R&D and innovation projects. It addresses the specific factors companies must consider when using project management to scope, define, and manage R&D projects. It also offers best practices and case studies that illustrate actual applications of theory. This book details methods to help readers optimize results in R&D through the use of structured processes derived from the project management field and other complementary disciplines. Each chapter includes diagrams, surveys, checklists, and question-answer forms to guide readers in determining where their activity falls along a project spectrum and to help them structure their own R&D project. The methods presented in this book can easily be applied to innovation projects and creative endeavors. As there are limited sources of information on how to utilize project management methodology effectively in these types of projects, this book is an ideal resource for anyone looking to add structure and proven methods to enable R&D, innovation, and other creative activities.

This edition has been completely revised. The authors, noted authorities in the field, focus on ways to improve R&D organization productivity and foster excellence in such companies. They describe how to design jobs, organize hierarchies, resolve conflicts, motivate employees, and create an innovative work environment. Features extensive cross-cultural coverage of European and Pacific Rim R&D organizations and policies which greatly differ from the US. Includes an entirely new section on various strategic planning elements unique to an R&D organization along with a case study.

Management science is a di scipl ine dedicated to the development of techniques that enable decision makers to cope with the increasing complexity of our world. The early burst of excitement which was spawned by the development and successful applications of linear programming to problems in both the public and private sectors has challenged researchers to develop even more sophisticated methods to deal with the complex nature of decision making. Sophistication, however, does not always trans 1 ate into more complex mathematics. Professor Thomas L. Saaty was working for the U. S. Defense Department and for the U. S. Department of State in the late 1960s and early 1970s. In these positions, Professor Saaty was exposed to some of the most complex decisions facing the world: arms control, the Middle East problem, and the development of a transport system for a Third World country. While having made major contributions to numerous areas of mathematics and the theory of operations research, he soon realized that one did not need complex mathematics to come to grips with these decision problems, just the right mathematics! Thus, Professor Saaty set out to develop a mathematically-based technique for analyzing complex situations which was sophisticated in its simplicity. This technique became known as the Analytic Hierarchy Process (AHP) and has become very successful in helping decision makers to structure and analyze a wide range of problems.

Reviews basic principles and presents techniques for evaluating and making decisions about investments and the acquisition of capital projects in industry and the private sector. Provides management and control techniques for construction of facilities or installation and operation of machinery and equipment. Covers sensitivity analysis and methods for ranking projects. Discusses the limitations of various methods. Explains how to carry out economic studies for the proper allocation of capital spending.