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Hierarchical Decision Modeling

Author : Tugrul U. Daim
Publisher : Springer
Page : 342 pages
File Size : 38,1 MB
Release : 2015-07-25
Category : Business & Economics
ISBN : 3319185586

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This volume, developed in honor of Dr. Dundar F. Kocaoglu, aims to demonstrate the applications of the Hierarchical Decision Model (HDM) in different sectors and its capacity in decision analysis. It is comprised of essays from noted scholars, academics and researchers of engineering and technology management around the world. This book is organized into five parts: Technology Policy Planning, Strategic Technology Planning, Technology Assessment, Application Extensions, and Methodology Extensions. Dr. Dundar F. Kocaoglu is one of the pioneers of multiple decision models using hierarchies, and creator of the HDM in decision analysis. HDM is a mission-oriented method for evaluation and/or selection among alternatives. A wide range of alternatives can be considered, including but not limited to, different technologies, projects, markets, jobs, products, cities to live in, houses to buy, apartments to rent, and schools to attend. Dr. Kocaoglu’s approach has been adopted for decision problems in many industrial sectors, including electronics research and development, education, government planning, agriculture, energy, technology transfer, semiconductor manufacturing, and has influenced policy locally, nationally, and internationally. Moreover, his students developed advanced tools and software applications to further improve and enhance the robustness of the HDM approach. Dr. Kocaoglu has made many contributions to the field of Engineering and Technology Management. During his tenure at Portland State University, he founded the Engineering and Technology Management program, where he served as Program Director and later, Department Chair. He also started the Portland International Conference on Management of Engineering and Technology (PICMET), which organizes an annual conference in international locations such as Korea, Turkey, South Africa, Thailand, and Japan. His teaching has won awards and resulted in a strong sense of student loyalty among his students even decades later. Through his academic work and research, Dr. Kocaoglu has strongly supported researchers of engineering management and has provided tremendous service to the field. This volume recognizes and celebrates Dr. Kocaoglu’s profound contributions to the field, and will serve as a resource for generations of researchers, practitioners and students.

Fuzzy Hierarchical Decision Modeling

Author : Michael Khader
Publisher : LAP Lambert Academic Publishing
Page : 188 pages
File Size : 39,61 MB
Release : 2011
Category : Fuzzy decision making
ISBN : 9783847305477

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According to several studies an inordinate number of business decisions fails. The analytical hierarchical process (AHP) is concerned with decomposing complex decisions into a set of factors and solutions. However, AHP has difficulties in handling uncertainty in decision information. This book addresses these deficiencies through developing a hybrid model based on AHP and fuzzy sets and logic. This model is capable of handling decisions with incomplete information and uncertain decision operating environment.

Hierarchical Decision Making in Stochastic Manufacturing Systems

Author : Suresh P. Sethi
Publisher : Springer Science & Business Media
Page : 420 pages
File Size : 20,62 MB
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 146120285X

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One of the most important methods in dealing with the optimization of large, complex systems is that of hierarchical decomposition. The idea is to reduce the overall complex problem into manageable approximate problems or subproblems, to solve these problems, and to construct a solution of the original problem from the solutions of these simpler prob lems. Development of such approaches for large complex systems has been identified as a particularly fruitful area by the Committee on the Next Decade in Operations Research (1988) [42] as well as by the Panel on Future Directions in Control Theory (1988) [65]. Most manufacturing firms are complex systems characterized by sev eral decision subsystems, such as finance, personnel, marketing, and op erations. They may have several plants and warehouses and a wide variety of machines and equipment devoted to producing a large number of different products. Moreover, they are subject to deterministic as well as stochastic discrete events, such as purchasing new equipment, hiring and layoff of personnel, and machine setups, failures, and repairs.

Hierarchies in Distributed Decision Making

Author : Christoph Schneeweiss
Publisher : Springer Science & Business Media
Page : 345 pages
File Size : 32,6 MB
Release : 2013-04-17
Category : Business & Economics
ISBN : 3662038307

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Distributed decision making is described in this book from a hierarchical perspective. A unified approach allows to treat such seemingly diverse fields as multi-level decision making, hierarchical production planning, principal agent theory, hierarchical negotiations, and dynamic games within the framework of a general pair of functional equations. In doing so, the book covers the range from a multi-level one-person decision problem to a multi-person antagonistic planning and leadership situation. These general ideas are illustrated with numerous examples and real-life planning situations. In addition, the treatise provides a theoretical foundation for important problem areas in business administration such as hierarchical production planning, the problems of design and implementation, modern concepts in managerial accounting, and supply chain management.

Multiattribute Decision Modeling Techniques

Author : Jonathan C. Fast
Publisher :
Page : 72 pages
File Size : 29,78 MB
Release : 1988
Category : Multiple criteria decision making
ISBN :

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This research developed a taxonomy of decision modeling techniques and accomplished a comparative analysis of two techniques developed and used by the Air Force in the areas of personnel selection, job classification, and promotion. The two techniques, policy capturing and policy specifying, were shown to have several characteristics which allowed them to be aligned with existing decision analytical theory. A set of criteria for evaluating the usefulness of particular technique in a particular decision context was developed, and four techniques were selected for more detailed study and evaluation. The four were: policy capturing, policy specifying, Simple Multiattribute Rating Technique (SMART), and Hierarchical Additive Weighting Method (HAWM). The last two were, respectively, examples of utility assessment and hierarchical decision models. A panel of experts rated each technique over the set of 16 criteria, first without regard to decision context. The panel then rated the match between each of the four techniques and the need for particular criteria in each of three Air Force decision contexts: person-job match, promotion and research and development project prioritization. Results of the ratings are presented and suggestions made for enhancing the Air Force's ability to conduct decision analytical studies. (KR).

Decision Making for Leaders

Author : Thomas L. Saaty
Publisher : RWS Publications
Page : 301 pages
File Size : 24,63 MB
Release :
Category :
ISBN : 1888603135

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This book is about how to make decisions using the Analytic Hierarchy Process. The basics of the theory are described in a clear, non-technical manner with many examples. It is suitable for business leaders and also is probably the best book for introducing the AHP to students at the college and graduate level. In this fifth printing of the book the reader will find a new appendix containing real-life applications that validate the use of the fundamental scale of the AHP.