Punk Rock Operations Research

Um blogue com modelos e aplicações de técnicas de IO

Um blogue com modelos e aplicações de técnicas de IO

Punk Rock Operations Research by Laura A. McLay is licensed under a Creative Commons Attribution-NonCommercial 3.0 United States License

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Learn About OR

Explicação para professores e alunos sobre IO

Explicação para professores e alunos sobre IO

In a nutshell, operational research (O.R.) is the discipline of applying advanced analytical methods to help make better decisions.

By using techniques such as problem structuring methods (sometimes known as ‘Soft O.R.’) and mathematical modelling to analyse complex situations, operational research gives executives the power to make more effective decisions and build more productive systems based on:

  • More complete data
  • Consideration of all available options
  • Careful predictions of outcomes and estimates of risk
  • The latest decision tools and techniques

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VideoLectures.Net

montes de vídeos sobre imensos temas

montes de vídeos sobre imensos temas

VideoLectures.NET is a free and open access educational video lectures repository. The lectures are given by distinguished scholars and scientists at the most important and prominent events like conferences, summer schools, workshops and science promotional events from many fields of Science. All lectures, accompanying documents, information and links are systematically selected and classified through the editorial process taking into account also users’ comments.

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Tools for Decision Analysis

Teoria de Decisão

Teoria de Decisão

  1. Introduction & Summary
  2. Probabilistic Modeling: From Data to a Decisive Knowledge
  3. Decision Analysis: Making Justifiable, Defensible Decisions
  4. Elements of Decision Analysis Models
  5. Decision Making Under Pure Uncertainty: Materials are presented in the context of Financial Portfolio Selections.
  6. Limitations of Decision Making under Pure Uncertainty
  7. Coping with Uncertainties
  8. Decision Making Under Risk: Presentation is in the context of Financial Portfolio Selections under risk.
  9. Making a Better Decision by Buying Reliable Information: Applications are drawn from Marketing a New Product.
  10. Decision Tree and Influence Diagram
  11. Why Managers Seek the Advice From Consulting Firms
  12. Revising Your Expectation and its Risk
  13. Determination of the Decision-Maker’s Utility
  14. Utility Function Representations with Applications
  15. A Classification of Decision Maker’s Relative Attitudes Toward Risk and Its Impact
  16. The Discovery and Management of Losses
  17. Risk: The Four Letters Word
  18. Decision’s Factors-Prioritization & Stability Analysis
  19. Optimal Decision Making Process
  20. JavaScript E-labs Learning Objects
  21. A Critical Panoramic View of Classical Decision Analysis
  22. Exercise Your Knowledge to Enhance What You Have Learned (PDF)
  23. Appendex: A Collection of Keywords and Phrases

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Leadership Decision Making

Leadership Decision Making

Leadership Decision Making

  1. Introduction and Summary
  2. How People Avoid Making Serious Decisions
  3. When One Should Not Make Serious Decisions
  4. How to Make Good Decisions
  5. Decisions Concerning Personal Life
  6. Problem of Determination of Values and Rank among Values
  7. Thinkable Decisions and the Economy of Strategic Thinking
  8. What Is Man? Man Has No Nature, But Has History
  9. How the Mind Works: From Deciding to Action
  10. How to Distinguish among Rumor, Belief, Opinion, and Fact
  11. Leadership versus Managerial’s Duties and Styles
  12. Cognitive Decision Making
  13. Behavioral Decision Making
  14. Ethics and Decision Making
  15. Leadership in a Diverse and Multicultural Environmen
  16. Human Side of Decision Making
  17. Personal and Public Views of Rationality
  18. Human Understanding in a Historical Context
  19. General Further Readings
  20. Appendex: A Collection of Keywords and Phrases

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Introduction to the Science of Making Decisions

introdução às Ciências de Decisão

introdução às Ciências de Decisão

  1. Introduction and Summary
  2. Operations Research, Management Science,
    Decision Science, and Success Science (OR/MS/DS/SS)
  3. What Is OR/MS/DS/SS?
  4. Historical Needs for OR/MS/DS/SS
  5. The Nature and Meaning of OR/MS/DS/SS
  6. The Methodology of OR/MS/DS/SS
  7. The Prototype Applications
  8. Flexibility and Variety of Careers in OR/MS/DS/SS
  9. The Multidisciplinary and Interdisciplinary Nature OR/MS/DS/SS:
  1. Multi-perspective Modeling Process
  2. Classifications of Models: Mechanical, Mental/Verbal, Analytical, and Simulation Models
  3. From Mental Modeling to Analytical Modeling
  4. Decision-Maker’s Environment
  5. Modeling Is At the Heart of Decision-Making Process
  6. Analytical Modeling Process for Decision-Making
  7. Decision-Making Process in Organizations: Dynamic Strategic Plan
  8. The Difficulties of Analytical Modeling Process
  9. Modeling Validation Process
  10. Cost Considerations and Time Discounting Rate Factor
  11. Why Analytical Modeling?
  12. A Guide to Carrying Out the Modeling Process
  13. The Gaps between Modeling and Implementation
  14. The Becoming of a Management Scientist

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Analysis of Risky Decisions

Analysis of Risky Decisions

Analysis of Risky Decisions

Making decisions is certainly the most important task of a manager and it is often a very difficult one. This site offers a decision making procedure for solving complex problems step by step.It presents the decision-analysis process for both public and private decision-making, using different decision criteria, different types of information, and information of varying quality. It describes the elements in the analysis of decision alternatives and choices, as well as the goals and objectives that guide decision-making. The key issues related to a decision-maker’s preferences regarding alternatives, criteria for choice, and choice modes, together with the risk assessment tools are also presented.

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The Science of Better

OR The Science of Better

what is O.R.?

In a nutshell, operational research (O.R.) is the discipline of applying advanced analytical methods to help make better decisions.

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wikipedia: investigação operacional

Operational Research [ing]

Operations research (also referred to as decision science, or management science) is an interdisciplinary mathematical science that focuses on the effective use of technology by organizations. In contrast, many other science & engineering disciplines focus on technology giving secondary considerations to its use.

Investigação Operacional [Pt]

A Investigação Operacional (IO) ou Pesquisa operacional (PO), é um ramo interdisciplinar da matemática aplicada que faz uso de modelos matemáticos, estatísticos e de algoritmos na ajuda à tomada de decisões. É usada sobretudo para analisar sistemas complexos do mundo real, tipicamente com o objectivo de melhorar ou optimizar a performance.

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