Matos, Rafael E. (WBB Consulting, Inc.)

Rafael E. Matos
9222 Crownwood Road
Ellicott City, Maryland 21042 USA

Phone: (703) 448-6081
E-mail: rmatos@wbbinc.com
Website: http://www.wbbinc.com/

Topics:

**Rafael Matos is a native Spanish speaker (born and raised in San Juan, Puerto Rico) and can present any of these topics in Spanish if requested.

Introduction to Operations Analysis Provides a working level knowledge of commonly used analytical processes. Addresses the types of issues the prospective users can expect. Tailored to appropriate levels of the audience from an overall OA conceptual view to detailed OA skills/applications tutorials.

Introduction to Operations Analysis
OA and Scientific Methods
OA Study Plan
Use of Excel to solve OA problems
Effective Visual Presentations
Basic Probability Theory
Counting Techniques
Conditional Probability & Independence
Random Variables
Mean & variance
Discrete probability functions
Continuous probability functions
Basic Statistical Methods
Graphic Displays
Descriptive Measures
Statistics II: Statistical Applications
Data Collection
Estimation and Confidence Intervals
Hypothesis Testing
Analysis of Variance (ANOVA)
Regression Analysis
Time Series Analysis
Introduction to Optimization
Mathematical Optimization
Linear Programming
Graphical method
Simplex method
Excel Solver function
Extensions of Linear Programming
Model Management & Web Resources
Advanced Concepts
Stochastic Processes
Markov chains
Poisson processes

Waiting and interarrival times
Queuing theory
Reliability Modeling
Survival rate
Complex systems
Failure rate
Introduction to Cost Analysis
Key Cost Analysis Organizations
Life-Cycle Cost Estimation
Department of the Navy Appropriation Accounts
Costing Techniques
Introduction to Decision Analysis
Basic Decision Theory
Measurement Scales
Normal Decision Environment
Complexity
Decision hierarchies
Scoring methods
Utility curves
Introduction to Manpower Analysis
Manpower, Personnel and Training
Manpower vs. Personnel
Manpower Analysis Example
Introduction to Modeling & Simulation
Definitions
Levels of Modeling
Considerations & Limitations
Introduction to Wargaming
Definition & Uses
Methodology
Elements & Other Characteristics
Considerations & Limits
Categories

(Intermediate)

Operations Analysis
THE SECRET OF BETTER DECISION MAKING IN A COMPLEX WORLD
We all have to fly by the seats of our pants sometimes. But always? Executives in every kind of organization - large and small, private and public, for-profit and not-for-profit - are using operations analysis (O.A.) to unlock the value in their data, model complex systems, and make better decisions with less risk. Whether O.A. is used to inform high-level strategy or improve day-to-day operations, the results speak for themselves: insight into difficult problems;

improved processes, productivity, and performance;
millions in cost savings and increased revenues;
more (and better) options;
accurate predictions, plans, and forecasts;
more profitable pricing;
greater market share;
higher quality;
superior ROI;
better asset utilization.

In just a few minutes, you'll learn what you need to know about O.A. What it really is and why it's so powerful. The kind of value it has delivered for others, and how to recognize your own opportunities as well as how to find and work with the right O.A. professional. (Intermediate)

Do you SEE what I am SAYING?
As described by Stephen Few, a leader in visual presentation of data, we experience the world predominantly through our eyes. Recognition of vision's unique power has led to the development of many new forms of visual communication. Our eyes are now seen as valuable targets for visual content hoping to make an impression. Some forms of visual communication remain primitive by comparison, crudely attempting to deliver information that is far too important to be displayed so poorly.

In this lecture we examine and highlight some of the proven most effective ways to set up and display analytical information in simple, yet effective pictures that would increase the ability of your audience to really SEE what you are saying. We also highlight common pitfalls of visual design of charts and graphs and propose a set of measures to fix these for effective communication of the real message. (Intermediate)

About Round Pegs and Square Holes
Does a square peg fit better into a round hole or does a round peg fit better into a square hole? Why are we trying to fit these together? At times, human beings attempt to fit the wrong solution to complicated problems: their solution MUST be the one. A significant amount of time, effort and other resources are devoted to this undertaking. If the problem (hole) is larger than the solution (peg) attempted, parts of the problem would not be solved. If the problem is smaller than the solution attempted, there would be some wasted use of the solution the problem would be solved under suboptimal application of the solution. Many times there is a tendency to fit relatively small problems into large solution tools, and vice-versa.

This lecture attempts to highlight a discussion of common practices based on what I call the ISABELLA effect: the Influence of Social And Behavioral Elements on Legacy Linear Analyses. Utilizing the well-known phrase "you can't fit a square peg in a round hole" or "you can't fit a round peg in a square hole" and mathematizing it, we would attempt to set the stage to discuss which one gives us less uncovered area. With this in mind we look at recent attempts at solving large problems by using less than optimal solutions, and solving relatively small problems with large mathematical models. We also discuss possible social and behavioral elements and drivers, and the potential implications of these practices. (Elementary)

Social Science in HD
Highlights and overview (Elementary)

Background:

BS Natural Sciences University of Puerto Rico
MS Operations Analysis Naval Postgraduate School
Ph.D. Psychology
candidate Walden University

Manager of Operations Reseach Analyses responsible to serve customers in all warfighting and academic areas as well as developing numerical analysis models and simulations. With over 24 years of successful management and leadership experience, bring a reputation for meeting demanding goals and objectives. Five years of Pentagon experience managing and developing the most challenging analytic agendas. Unparalleled proficiency applying his instinctive intellect to getting to the root of the problem and associating impending issues to current and future capabilities, assigning appropriate metrics and reaching meaningful, achievable and realistic potential solutions. Operations Analysis training lead for WBB's OA Sector. Spent two years as Master Instructor of Mathematics at the US Naval Academy. Military instructor and mentor to over 172 Midshipmen teaching core calculus courses, calculus with optimization, and probabilities with naval applications. Developed innovative teaching methods at the Naval Academy that resulted ranking number one among all sixteen Military Instructors in the Mathematics Department and ranked number four overall among the 72 instructors (Civilian and Military) in the Mathematics Department. Nominated for the Clemens Award for Excellence in Teaching. During his examplary career he has conducted several briefs to audiences that ranged from 35 to 300 attendees. Also created, edited, published and distributed a highly recognized monthly newsletter to keep interested parties updated with current information. Strong communications, public speaking, and senior-level presentation dexterity. Significant experience tailoring deliverables for senior leadership - Flag officers, Senior Executive Service, the Department of Defense Secretariat and the Joint Staff. Designed, produced and delivered hundreds of high-visibility and highly effective presentations to top leadership that resulted in straightforward illustration of facts for executive decisions

Specialties:
Modeling and Simulation, discrete and stochastic numerical analysis, probability and statistics, optimization, linear and non-linear programming, metrics identification and analysis, manpower analysis, effective visual presentation of data, social science methods.