Models And Methods For Management Science

Author : Arben Asllani
Publisher : FT Press
Page : 401 pages
File Size : 53,5 Mb
Release : 2014-11-17
Category : Business & Economics
ISBN : 9780133760668

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Business Analytics with Management Science Models and Methods by Arben Asllani Pdf

Master decision modeling and analytics through realistic examples, intuitive explanations, and tested Excel templates. Business Analytics with Management Science has been designed to help students, practitioners and managers use business analytics to improve decision-making systems. Unlike previous books, it emphasizes the application of practical management science techniques in business analytics. Drawing on 20+ years of teaching and consulting experience, Dr. Arben Asllani introduces decision analytics through realistic examples and intuitive explanations – not complex formulae and theoretical definitions. Throughout, Asllani helps practitioners focus more on the crucial input-output aspects of decision making – and less upon internal model complexities that can usually be "delegated" to software.

Author : Samuel B. Graves,Jeffrey L. Ringuest
Publisher : Springer Science & Business Media
Page : 203 pages
File Size : 40,5 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461502807

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Models & Methods for Project Selection by Samuel B. Graves,Jeffrey L. Ringuest Pdf

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.

Author : Hao Zhang
Publisher : Unknown
Page : 0 pages
File Size : 49,5 Mb
Release : 2022
Category : Electronic
ISBN : 9811916152

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Models and Methods for Management Science by Hao Zhang Pdf

This textbook introduces systems science as an entry point to present a basic introduction to research models and methods in management science (operation research). This textbook selects the classic quantitative models and methods as well as rich cases and detailed examples, which are suitable for students with a certain management and economics knowledge for further study, and helps to develop the abilities of using the basic models in real life.

Author : Wolfgang Garn
Publisher : Unknown
Page : 288 pages
File Size : 47,7 Mb
Release : 2018-12-21
Category : Electronic
ISBN : 1727195221

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Introduction to Management Science by Wolfgang Garn Pdf

Businesses have to cut costs, increase revenue and be profitable. The aim of this book is to introduce Management Science to analyse business challenges and to find solutions analytically. Important topics in modelling, optimisation and probability are covered. These include: linear and integer programming, network flows and transportation; essential statistics, queueing systems and inventory models. The overall objectives are: to enable the reader to increase the efficiency and productivity of businesses; to observe and define challenges in a concise, precise and logical manner; to be familiar with a number of classical and state-of-the art operational research techniques and tools; to devise solutions, algorithms and methods that offer competitive advantage to businesses and organisations; and to provide results to management for decision making and implementation. Numerous examples and problems with solutions are given to demonstrate how these concepts can be applied in a business context.

Author : Hao Zhang
Publisher : Springer Nature
Page : 426 pages
File Size : 54,9 Mb
Release : 2022-08-18
Category : Business & Economics
ISBN : 9789811916144

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Models and Methods for Management Science by Hao Zhang Pdf

This textbook introduces systems science as an entry point to present a basic introduction to research models and methods in management science (operation research). This textbook selects the classic quantitative models and methods as well as rich cases and detailed examples, which are suitable for students with a certain management and economics knowledge for further study, and helps to develop the abilities of using the basic models in real life.

Author : Dimitris Bertsimas,Robert Michael Freund
Publisher : Ingram
Page : 530 pages
File Size : 47,9 Mb
Release : 2004
Category : Business & Economics
ISBN : 097591460X

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Data, Models, and Decisions by Dimitris Bertsimas,Robert Michael Freund Pdf

Combines topics from two traditionally distinct quantitative subjects, probability/statistics and management science/optimization, in a unified treatment of quantitative methods and models for management. Stresses those fundamental concepts that are most important for the practical analysis of management decisions: modeling and evaluating uncertainty explicitly, understanding the dynamic nature of decision-making, using historical data and limited information effectively, simulating complex systems, and allocating scarce resources optimally.

Author : Michael Pidd
Publisher : Wiley
Page : 304 pages
File Size : 50,5 Mb
Release : 2009-12-21
Category : Business & Economics
ISBN : 0470721421

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Tools for Thinking by Michael Pidd Pdf

With over 30 years’ experience as a management teacher and consultant, Mike Pidd provides the tools for thinking that will help us to think through the consequences of decisions before we act. The third edition of Tools for Thinking builds on the successes of the previous two editions. It creates a bridge between the soft and hard (Operations Research) OR schools of thought and provides an empirically based framework in which to place them. Focusing on modelling as an activity, rather than on models and techniques, Mike Pidd shows how models can be employed to explore possible future scenarios and to make sense of managerial vision. This third edition has been fully revised and updated without changing its focus. It features a new chapter on Decision Analysis and includes up-to-date examples using popular softwares, such as Precision Tree, @Risk and Micro Saint Sharp, to illustrate how these help in developing and using management science models as tools for thinking.

Author : José Ramón San Cristóbal Mateo
Publisher : Gower Publishing, Ltd.
Page : 241 pages
File Size : 44,9 Mb
Release : 2015-02-28
Category : Business & Economics
ISBN : 9781472426451

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Management Science, Operations Research and Project Management by José Ramón San Cristóbal Mateo Pdf

Due to its societal and economic relevance, Project Management (PM) has become an important discipline and a concept critical to modern organizations, public and private. PM as an academic discipline is discussed both in Management Science and in Operations Research. Management Science tends to focus on quantitative tools and the soft skills necessary to manage projects successfully. Operations Research gives the essential scientific contribution to the success of project management through the development of models and algorithms. In Management Science, Operations Research and Project Management, José Ramón San Cristóbal Mateo fills the gap between scientific research and the practical application of that research. Project managers need formal training in decision-making but sometimes, they do not have an in-depth knowledge of Operations Research or they lack the necessary theoretical background. This book, with its focus on the quantitative models of Operations Research and Management Science applied to Project Management, provides project managers with the tools and methods necessary to manage projects successfully. Project managers operate in a complex global environment, in which numerous factors need to be considered, such as minimizing total project costs, meeting contracted dates, and ensuring that activities achieve certain quality levels. The focus here on the application of quantitative models of Operations Research and Management Science applied to Project Management provides them with the tools and methods necessary to make sound decisions.

Author : A. Ravi Ravindran
Publisher : CRC Press
Page : 900 pages
File Size : 54,8 Mb
Release : 2016-04-19
Category : Business & Economics
ISBN : 9781420009712

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Operations Research and Management Science Handbook by A. Ravi Ravindran Pdf

Operations Research (OR) began as an interdisciplinary activity to solve complex military problems during World War II. Utilizing principles from mathematics, engineering, business, computer science, economics, and statistics, OR has developed into a full fledged academic discipline with practical application in business, industry, government and m

Author : Louis Anthony Cox Jr.
Publisher : Springer Science & Business Media
Page : 564 pages
File Size : 52,6 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461508472

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Risk Analysis Foundations, Models, and Methods by Louis Anthony Cox Jr. Pdf

Risk Analysis: Foundations, Models, and Methods fully addresses the questions of "What is health risk analysis?" and "How can its potentialities be developed to be most valuable to public health decision-makers and other health risk managers?" Risk analysis provides methods and principles for answering these questions. It is divided into methods for assessing, communicating, and managing health risks. Risk assessment quantitatively estimates the health risks to individuals and to groups from hazardous exposures and from the decisions or activities that create them. It applies specialized models and methods to quantify likely exposures and their resulting health risks. Its goal is to produce information to improve decisions. It does this by relating alternative decisions to their probable consequences and by identifying those decisions that make preferred outcomes more likely. Health risk assessment draws on explicit engineering, biomathematical, and statistical consequence models to describe or simulate the causal relations between actions and their probable effects on health. Risk communication characterizes and presents information about health risks and uncertainties to decision-makers and stakeholders. Risk management applies principles for choosing among alternative decision alternatives or actions that affect exposure, health risks, or their consequences.

Author : Michael Pidd
Publisher : Unknown
Page : 344 pages
File Size : 53,8 Mb
Release : 2003-03-14
Category : Business & Economics
ISBN : IND:30000087930776

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Tools for Thinking by Michael Pidd Pdf

Table of contents

Author : Fouad El Ouardighi,Konstantin Kogan
Publisher : Unknown
Page : 270 pages
File Size : 53,9 Mb
Release : 2013-10-31
Category : Electronic
ISBN : 3319006703

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Models and Methods in Economics and Management Science by Fouad El Ouardighi,Konstantin Kogan Pdf

Author : Moshe Dror,Pierre Lécuyer,Pierre L'Ecuyer,Ferenc Szidarovszky
Publisher : Springer Science & Business Media
Page : 810 pages
File Size : 43,6 Mb
Release : 2002-01-31
Category : Business & Economics
ISBN : 0792374630

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Modeling Uncertainty by Moshe Dror,Pierre Lécuyer,Pierre L'Ecuyer,Ferenc Szidarovszky Pdf

Writing in honour of Sid Yakowitz, 50 internationally known scholars have collectively contributed 30 papers on modelling uncertainty to this volume. These include papers with a theoretical emphasis and others that focus on applications.

Author : John D. C. Little
Publisher : Palala Press
Page : 70 pages
File Size : 54,7 Mb
Release : 2018-03-03
Category : Business & Economics
ISBN : 1379109388

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Models and Managers: The Concept of a Decision Calculus by John D. C. Little Pdf

This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Author : Samuel B. Graves,Jeffrey L. Ringuest
Publisher : Springer
Page : 193 pages
File Size : 55,5 Mb
Release : 2012-12-22
Category : Business & Economics
ISBN : 1461350018

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Models & Methods for Project Selection by Samuel B. Graves,Jeffrey L. Ringuest Pdf

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.