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Real World Decision Modeling W


Real World Decision Modeling W
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Real World Decision Modeling W


Real World Decision Modeling W
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Author : James Taylor
language : en
Publisher: Anclote Press
Release Date : 2016-11-08

Real World Decision Modeling W written by James Taylor and has been published by Anclote Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-08 with Business & Economics categories.


Organizations make thousands of automated, operational decisions every week-from pricing of products to determining which customers get automatic approval, to customizing website navigation. How well they make these decisions drives their profitability, makes or breaks their reputation and powers customer satisfaction.



Evaluation And Decision Models With Multiple Criteria


Evaluation And Decision Models With Multiple Criteria
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Author : Denis Bouyssou
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-06-07

Evaluation And Decision Models With Multiple Criteria written by Denis Bouyssou and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-07 with Business & Economics categories.


Formal decision and evaluation models are sets of explicit and well-defined rules to collect, assess, and process information in order to be able to make recommendations in decision and/or evaluation processes. They are so widespread that almost no one can pretend not to have used or suffered the consequences of one of them. Our earlier companion volume, Evaluation and Decision Models, heavily criticised formal models but also argued that they could be useful. On the other hand, Evaluation and Decision Models with Multiple Criteria is a guide aimed at helping the analyst to choose a model and use it consistently. We propose a sound analysis of techniques and our presentation can be extended to most decision and evaluation models as a "decision aiding methodology". This volume is intended for the enlightened practitioner, for anyone who uses decision or evaluation models---for research or for applications---and is willing to question his practice, to have a deeper understanding of what he does.



The Decision Model


The Decision Model
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Author : Barbara von Halle
language : en
Publisher: CRC Press
Release Date : 2009-10-27

The Decision Model written by Barbara von Halle and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-27 with Computers categories.


In the current fast-paced and constantly changing business environment, it is more important than ever for organizations to be agile, monitor business performance, and meet with increasingly stringent compliance requirements. Written by pioneering consultants and bestselling authors with track records of international success, The Decision Model: A



Practical Decision Modeling With Microsoft Excel


Practical Decision Modeling With Microsoft Excel
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-04-14

Practical Decision Modeling With Microsoft Excel written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-14 with Business & Economics categories.


Practical Decision Modeling with Microsoft Excel is the ultimate guide to data-driven decision-making, empowering you to leverage the power of data to make informed choices that drive success. This comprehensive book unveils the transformative potential of decision modeling, providing you with the knowledge and skills to construct robust and effective models using Microsoft Excel. With a focus on practicality and real-world applications, Practical Decision Modeling with Microsoft Excel presents a multitude of case studies drawn from diverse industries, showcasing the tangible benefits of data-driven decision-making. Learn how to optimize supply chains, enhance healthcare operations, make informed financial investments, and navigate the complexities of risk management with the aid of decision models. Delve into the foundations of decision modeling and gain a thorough understanding of the decision-making process. Explore advanced techniques such as Monte Carlo simulation, sensitivity analysis, and optimization, and discover how to integrate decision models with other software for even more powerful insights. Stay ahead in today's data-driven world by embracing the latest advancements in decision modeling, including artificial intelligence, machine learning, and big data analytics. These emerging technologies are transforming the way organizations make decisions, enabling them to uncover patterns, identify trends, and predict outcomes with unprecedented accuracy. Written in a conversational and engaging style, Practical Decision Modeling with Microsoft Excel is an invaluable resource for business leaders, analysts, and anyone seeking to harness the power of data to make better decisions. Its comprehensive coverage, clear explanations, and practical examples make it an indispensable asset for professionals looking to stay ahead in today's competitive business landscape. Unlock the full potential of data and make informed decisions that drive organizational success with Practical Decision Modeling with Microsoft Excel. This book is your key to unlocking the power of data-driven decision-making and transforming your organization's performance. If you like this book, write a review on google books!



Managerial Decision Modeling


Managerial Decision Modeling
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Author : Nagraj (Raju) Balakrishnan
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2017-08-07

Managerial Decision Modeling written by Nagraj (Raju) Balakrishnan and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-07 with Business & Economics categories.


This book fills a void for a balanced approach to spreadsheet-based decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors show how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works, and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations. The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models. The additional material files Chapter 12 Excel files for each chapter Excel modules for Windows Excel modules for Mac 4th edition errata can be found at https://www.degruyter.com/view/product/486941



Handbook Of Real World Applications In Modeling And Simulation


Handbook Of Real World Applications In Modeling And Simulation
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Author : John A. Sokolowski
language : en
Publisher: John Wiley & Sons
Release Date : 2012-04-24

Handbook Of Real World Applications In Modeling And Simulation written by John A. Sokolowski and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-24 with Mathematics categories.


Introduces various modeling and simulation methods and paradigms that are used to explain and solve the predominant challenges facing society Handbook of Real-World Applications in Modeling and Simulation provides a thorough explanation of modeling and simulation in the most useful, current, and predominant applied areas of transportation, homeland security, medicine, operational research, military science, and business modeling. Offering a cutting-edge and accessible presentation, this book discusses how and why the presented domains have become leading applications of modeling and simulation techniques. Contributions from leading academics and researchers integrate modeling and simulation theories, methods, and data to analyze challenges that involve technological and social issues. The book begins with an introduction that explains why modeling and simulation is a reliable analysis assessment tool for complex systems problems. Subsequent chapters provide an orientation to various modeling and simulation methods and paradigms that are used to explain and solve the predominant challenges across real-world applied domains. Additionally, the handbook: Provides a practical one-stop reference on modeling and simulation and contains an accessible introduction to key concepts and techniques Introduces, trains, and prepares readers from statistics, mathematics, engineering, computer science, economics, and business to use modeling and simulation in their studies and research Features case studies that are representative of fundamental areas of multidisciplinary studies and provides a concise look at the key concepts of modeling and simulation Contains a collection of original ideas on modeling and simulation to help academics and practitioners develop a multifunctional perspective Self-contained chapters offer a comprehensive approach to explaining each respective domain and include sections that explore the related history, theory, modeling paradigms, and case studies. Key terms and techniques are clearly outlined, and exercise sets allow readers to test their comprehension of the presented material. Handbook of Real-World Applications in Modeling and Simulation is an essential reference for academics and practitioners in the areas of operations research, business, management science, engineering, statistics, mathematics, and computer science. The handbook is also a suitable supplement for courses on modeling and simulation at the graduate level.



Evaluation And Decision Models With Multiple Criteria


Evaluation And Decision Models With Multiple Criteria
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Author : Raymond Bisdorff
language : en
Publisher: Springer
Release Date : 2015-06-09

Evaluation And Decision Models With Multiple Criteria written by Raymond Bisdorff and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-09 with Business & Economics categories.


This book showcases a large variety of multiple criteria decision applications (MCDAs), presenting them in a coherent framework provided by the methodology chapters and the comments accompanying each case study. The chapters describing MCDAs invite the reader to experiment with MCDA methods and perhaps develop new variants using data from these case studies or other cases they encounter, equipping them with a broader perception of real-world problems and how to overcome them with the help of MCDAs.



Managerial Decision Modeling


Managerial Decision Modeling
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Author : Nagraj (Raju) Balakrishnan
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2017-08-07

Managerial Decision Modeling written by Nagraj (Raju) Balakrishnan and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-07 with Business & Economics categories.


This book fills a void for a balanced approach to spreadsheet-based decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors show how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works, and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations. The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models. The additional material files Chapter 12 Excel files for each chapter Excel modules for Windows Excel modules for Mac 4th edition errata can be found at https://www.degruyter.com/view/product/486941



Decision Modelling And Information Systems


Decision Modelling And Information Systems
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Author : Nikitas-Spiros Koutsoukis
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Decision Modelling And Information Systems written by Nikitas-Spiros Koutsoukis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.


In Decision Modelling And Information Systems: The Information Value Chain the authors explain the interrelationships between the decision support, decision modelling, and information systems. The first two parts of the book focus on the interdisciplinary decision support framework, in which mathematical programming (optimization) is taken as the inference engine. The role of business analytics and its relationship with recent developments in organisational theory, decision modelling, information systems and information technology are considered in depth. Part three of the book includes a carefully chosen selection of invited contributions from internationally-known researchers. These contributions are thought-provoking and cover key decision modelling and information systems issues. The final part of the book covers contemporary developments in the related area of business intelligence considered within an organizational context. The topics cover computing delivered across the web, management decision-making, and socio-economic challenges that lie ahead. It is now well accepted that globalisation and the impact of digital economy are profound; and the role of e-business and the delivery of decision models (business analytics) across the net lead to a challenging business environment. In this dynamic setting, decision support is one of the few interdisciplinary frameworks that can be rapidly adopted and deployed to so that businesses can survive and prosper by meeting these new challenges.