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Modelos matemáticos para la toma de decisiones

Modelos matemáticos para la toma de decisiones
Author: Juan Manuel Izar Landeta
Publisher: IMCP
Total Pages: 499
Release: 2019-08-01
Genre: Business & Economics
ISBN: 6078628143

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Este libro contiene los temas más relevantes de los modelos cuantitativos para la toma de decisiones en la administración, expuestos amigable y didácticamente para estudiantes y profesionales de esta área, ya que explica de manera clara cada modelo o metodología y presenta ejemplos ilustrativos de la aplicación a casos concretos.


Fuzzy Multiple Objective Decision Making

Fuzzy Multiple Objective Decision Making
Author: Young-Jou Lai
Publisher: Springer
Total Pages: 475
Release: 1994
Genre: Décision multicritère
ISBN: 9780387575957

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Management Information Systems

Management Information Systems
Author: Kenneth C. Laudon
Publisher: Pearson Educación
Total Pages: 618
Release: 2004
Genre: Business & Economics
ISBN: 9789702605287

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Management Information Systems provides comprehensive and integrative coverage of essential new technologies, information system applications, and their impact on business models and managerial decision-making in an exciting and interactive manner. The twelfth edition focuses on the major changes that have been made in information technology over the past two years, and includes new opening, closing, and Interactive Session cases.


Principles of Operations Management

Principles of Operations Management
Author: Jay H. Heizer
Publisher: Pearson Educación
Total Pages: 710
Release: 2004
Genre: Business & Economics
ISBN: 9789702605256

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In this textbook, Heizer (business administration, Texas Lutheran U.) and Render (operations management, Rollins College) provide a broad introduction to the field of operations management. A sampling of topics includes operations strategy for competitive advantage, forecasting, design of goods and services, human resources, e- commerce, project management, inventory management, and maintenance. The CD-ROM contains video case studies, lecture notes, Excel OM and Extend software, and additional practice problems. Annotation copyrighted by Book News Inc., Portland, OR


La pospandemia y políticas públicas para enfrentarla

La pospandemia y políticas públicas para enfrentarla
Author: Diana Alexandra González Chacón
Publisher: Fondo Editorial – Ediciones Universidad Cooperativa de Colombia
Total Pages: 176
Release: 2021-08-30
Genre: Political Science
ISBN: 9587603400

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Este libro tiene el objetivo de analizar las alternativas de política pública necesarias para la preservación de la salud de la población, la reactivación de la economía y la definición de un marco institucional que facilite las relaciones entre individuos en un contexto pospandémico, mediante un enfoque multidimensional. En ese sentido, se analizan los antecedentes de las pandemias de carácter universal, el rol de las organizaciones internacionales, el papel de los bienes públicos globales, los modelos de gobernanza global desde un contexto glocal, las tendencias en investigación acerca de pandemias y sostenibilidad, los nuevos retos del Estado, el financiamiento de las pequeñas y medianas empresas, los incentivos fiscales a la innovación en inteligencia artificial y la utilidad de los modelos matemáticos para la toma de decisiones de política pública. De esta manera, se presenta un análisis ordenado de los retos que enfrenta la sociedad en la actualidad, con su explicación y atención mediante alternativas de acción pública. Por lo tanto, es una guía sobre el rol y la capacidad que deben desarrollar coordinadamente los funcionarios nacionales, junto a las organizaciones internacionales, para influir la definición de políticas que reorganicen el equilibrio mundial.


Mathematical Models for Decision Support

Mathematical Models for Decision Support
Author: Harvey J. Greenberg
Publisher: Springer Science & Business Media
Total Pages: 740
Release: 2012-12-06
Genre: Computers
ISBN: 3642835554

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It is quite an onerous task to edit the proceedings of a two week long institute with learned contributors from many parts of the world. All the same, the editorial team has found the process of refereeing and reviewing the contributions worthwhile and completing the volume has proven to be a satisfying task. In setting up the institute we had considered models and methods taken from a number of different disciplines. As a result the whole institute - preparing for it, attending it and editing the proceedings - proved to be an intense learning experience for us. Here I speak on behalf of the committee and the editorial team. By the time the institute took place, the papers were delivered and the delegates exchanged their views, the structure of the topics covered and their relative positioning appeared in a different light. In editing the volume I felt compelled to introduce a new structure in grouping the papers. The contents of this volume are organised in eight main sections set out below: 1 . Abstracts. 2. Review Paper. 3. Models with Multiple Criteria and Single or Multiple Decision Makers. 4. Use of Optimisation Models as Decision Support Tools. 5. Role of Information Systems in Decision Making: Database and Model Management Issues. 6. Methods of Artificial Intelligence in Decision Making: Intelligent Knowledge Based Systems. 7. Representation of Uncertainty in Mathematical Models and Knowledge Based Systems. 8. Mathematical Basis for Constructing Models and Model Validation.


Mathematical Models for Decision Making with Multiple Perspectives

Mathematical Models for Decision Making with Multiple Perspectives
Author: Maria Isabel Gomes
Publisher: CRC Press
Total Pages: 301
Release: 2022-08-04
Genre: Mathematics
ISBN: 1000647579

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This book brings together, in a single volume, the fields of multicriteria decision making and multiobjective optimization that are traditionally covered separately. Both fields have in common the presence of multiple perspectives of looking at and evaluating decisions to be taken but they differ in the number of available alternatives. Multicriteria approaches deal with decision processes where a finite number of alternatives have to be evaluated while, in multiobjective optimization, this number is infinite and the space of alternatives continuous. This book is written for students of applied mathematics, engineering, and economics and management, with no assumed previous knowledge on the subject, as well as for practitioners in industry looking for techniques to support decision making. The mathematical formalism is very low, so that all materials are accessible to most readers. Nonetheless, a rich bibliography allows interested readers to access more technical literature. The textbook is organized in eleven chapters, each corresponding to a class of about two hours. A comprehensive set of examples is presented, allowing for a didactic approach when presenting the methodologies. Each chapter ends with exercises that are designed to develop problem-solving skills and to promote concepts retention.


Ranked Set Sampling Models and Methods

Ranked Set Sampling Models and Methods
Author: Bouza-Herrera, Carlos N.
Publisher: IGI Global
Total Pages: 276
Release: 2021-08-06
Genre: Computers
ISBN: 179987558X

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When it comes to data collection and analysis, ranked set sampling (RSS) continues to increasingly be the focus of methodological research. This type of sampling is an alternative to simple random sampling and can offer substantial improvements in precision and efficient estimation. There are different methods within RSS that can be further explored and discussed. On top of being efficient, RSS is cost-efficient and can be used in situations where sample units are difficult to obtain. With new results in modeling and applications, and a growing importance in theory and practice, it is essential for modeling to be further explored and developed through research. Ranked Set Sampling Models and Methods presents an innovative look at modeling survey sampling research and new models of RSS along with the future potentials of it. The book provides a panoramic view of the state of the art of RSS by presenting some previously known and new models. The chapters illustrate how the modeling is to be developed and how they improve the efficiency of the inferences. The chapters highlight topics such as bootstrap methods, fuzzy weight ranked set sampling method, item count technique, stratified ranked set sampling, and more. This book is essential for statisticians, social and natural science scientists, physicians and all the persons involved with the use of sampling theory in their research along with practitioners, researchers, academicians, and students interested in the latest models and methods for ranked set sampling.