Download or read book Research and Development Project Selection written by Joseph P. Martino and published by John Wiley & Sons. This book was released on 1995-03-20 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Research and Development written by Jackson Eugene Ramsey and published by . This book was released on 1986 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Research and Development Project Selection written by Joseph Paul Martino and published by . This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Project Management for Research and Development written by Lory Mitchell Wingate and published by CRC Press. This book was released on 2014-08-05 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Research and Development Project Selection written by Richard George Brandenburg and published by . This book was released on 1964 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Models Methods for Project Selection written by Samuel B. Graves and published by Springer Science & Business Media. This book was released on 2003 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Management of Research and Development Organizations written by Ravinder Kumar Jain and published by John Wiley & Sons. This book was released on 1997 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Research and Development written by United States Government Accountability Office and published by Createspace Independent Publishing Platform. This book was released on 2018-01-20 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research and Development: DOE Could Enhance the Project Selection Process for Government Oil and Natural Gas Research
Download or read book R D Project Selection with Combined Benefit Outcome and Resource Interactions written by Robert L. Schmidt and published by . This book was released on 1989 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Research and Development Project Selection written by Jeremy Michael Pitts and published by . This book was released on 2010 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: Successful research and development is critical in ensuring firms continue to meet customer needs and stay ahead of their competition. Hundreds of billions of dollars are spent every year on these R&D pursuits. It may seem logical that the more money a company spends on R&D, the more successful they will be. However, multiple studies have shown there is no significant correlation between a firm's R&D expenditures and its financial performance. The key to effective R&D is not how much a firm spends, but how well the money is spent. There are two sides of doing R&D effectively-doing the right projects and doing projects right. This thesis focuses primarily on the first side, creating a process to help a company choose the best projects to pursue. A significant amount of literature exists in this area, however that literature mostly focuses on R&D performed at original equipment manufacturers (OEMs). For OEMs, R&D is the first step in a product development process where the company has the ultimate decision over the form their product takes. This thesis expands on that literature to focus on R&D project selection for firms that act as suppliers to OEMs. Suppliers performing R&D are faced with significant additional challenges due to the OEM having final say over the product configuration. Suppliers have uncertainties about whether they are pursuing the right technology along with whether they will actually win business to utilize that technology. This fact often forces suppliers to adopt a conservative R&D strategy with a fairly secure likelihood of adoption over speculative R&D that might not come to fruition. Because every company and every industry is different and has different priorities for their R&D activities, there is no single process that will work at every company to help them choose a better portfolio of R&D projects. Instead, this thesis presents a set of guidelines that can be used to help companies (especially suppliers with conservative R&D strategies) design their own process. Along with those guidelines, a case study is presented based on implementing an R&D project selection process at Spirit AeroSystems. The process that was implemented, along with problems encountered with that process and ideas for further improvements are discussed. Lessons learned from Spirit AeroSystems can further be utilized to help companies create better project selection processes.
Download or read book The Analytic Hierarchy Process written by Bruce L. Golden and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Research and Development Activities in the Department of Transportation and Selected Federal Agencies written by and published by . This book was released on 1980 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Evaluating Selecting and Controlling R D Projects written by Burton Victor Dean and published by . This book was released on 1968 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: USA. Report of a survey of the evaluation, selection and control of industrial research and development projects in respect of Innovation in industrial production - covers research methods, operational research, mathematical programming, decision making, profitability, etc., and includes a description of the methodology and the text of the questionnaire used in the study. Flowcharts and diagrams.
Download or read book Selecting Product Development Projects written by Abdul Ali and published by DIANE Publishing. This book was released on 1993-06 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: An investigation of project selection choices of duopolists facing two alternatives: undertaking a pioneering type project aimed to develop a highly innovative product, or an incremental, innovation type project aimed to develop a less innovative product such as the modification of an existing product.
Download or read book A Decision Support System for R D Project Selection and Resource Allocation Under Uncertainity written by M. Güven Iyigün and published by . This book was released on 1993 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the complex nature of Research and Development project selection, project managers need to choose projects carefully before beginning or continuing a project. A framework and model of a Decision Support System (DSS) is presented as an effective tool to help choose projects using complex criteria such as risk, cost, decision hierarchies, as well as attempting to meet profit, human resources, and budget objectives. The DSS is comprised of three phases which are divided into modules: Screening and Scoring, Assessment, and Resource Allocation, which uses the PROTRADE method. The computerized Delphi DSS model will aid an organization by integrating decisions regarding projects across multilevel, interrelated subunits that are attempting to achieve the same goal. The DSS model offers the solution to the semi-structured nature of R & D decisions by outlining a method for better insight into the decision-making process, as well as providing alternative scenarios when resolving problems.
Download or read book Practical Applications of Fuzzy Technologies written by Hans-Jürgen Zimmermann and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the late 1980s, a large number of very user-friendly tools for fuzzy control, fuzzy expert systems, and fuzzy data analysis have emerged. This has changed the character of this area and started the area of `fuzzy technology'. The next large step in the development occurred in 1992 when almost independently in Europe, Japan and the USA, the three areas of fuzzy technology, artificial neural nets and genetic algorithms joined forces under the title of `computational intelligence' or `soft computing'. The synergies which were possible between these three areas have been exploited very successfully. Practical Applications of Fuzzy Sets focuses on model and real applications of fuzzy sets, and is structured into four major parts: engineering and natural sciences; medicine; management; and behavioral, cognitive and social sciences. This book will be useful for practitioners of fuzzy technology, scientists and students who are looking for applications of their models and methods, for topics of their theses, and even for venture capitalists who look for attractive possibilities for investments.
Download or read book Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making written by Cengiz Kahraman and published by Springer. This book was released on 2019-07-05 with total page 1392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.
