P17751: Vaccine Pricing Evaluation
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Problem Definition

Table of Contents

Team Vision for Problem Definition Phase

Planned to Do

- Define Problem
- Define CR & ER
- Bench-marking
- Read All Documentation given from Ruben
- Define Design Drivers & Challenges
- Conduct Customer Interview
- Initialize Project Plan
- Create Use Cases

Accomplished

- Define Problem
- Define CR & ER
- Bench-marking
- Define Design Drivers & Challenges
- Conduct Customer Interview
- Initialize Project Plan

Project Summary

Full Problem Statement

A vaccine-pricing evaluation model (ABP) is used to determine vaccine process that will benefit both the producers (by creating profits) and the consumers (by being affordable). This model should examine all kinds of markets in different countries including shrinking markets. A model has been developed but it does not explore all market possibilities, there is data missing and the performance should be better. The goal of this project is to understand what happens with the prices of vaccines as smaller markets and shrinking markets are included. The new model will explore the profit and cost of different scenarios and adapt the ABP to solve the problems. The resulting model should comply with budget constraints and propose a best experimental design based and speed and prediction error.

Current State

Vaccines are priced by 5 suppliers who customize prices per country every 3 years. There is an operations research model that will maximize total social surplus.

Desired State

This model should examine all kinds of markets in different countries including shrinking markets and propose a best experimental design based on speed and prediction error.

Project Goals and Key Deliverable

Understand what happens with the prices of vaccines as smaller markets and shrinking markets are included. Identify patterns in budget limitations to allows buyers of vaccines to develop policies.

Key Constraints

Comply with budget constraints. Solution time must be sufficient in speed.

PRP

http://edge.rit.edu/edge/MSD_Proposals/public/PRP_2016-17/fall-start/Student%20Release/P17752.pdf

Stakeholders

- Ruben Proano
- Bill & Melinda Gates Foundation
- UNICEF
- PAHO
- GAVI
- John Kaemmerlen
- Nick Morris
- Jose Batista

Customer Requirements

- Determine budget limitation scenarios
- Determine statistical response(s)
- Propose best experimental design(s) based on prediction error
- Modify ABP modeling
- Determine in-feasibility conditions due to budget limitations: When market segment budgets are too low?
- Provide an analysis of candidate strategies to mitigate losses in affordability and profitability levels

Engineering Requirements

- Total social surplus changes as market segments vary in size
- Total profit changes as market segments vary in size
- Total customer surplus as market segments vary in size
- MIP-gaps for solution of optimization models
- Prediction errors in experimental designs

Customer Interviews

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Use Cases

Image:Photo Gallery/UseCaseJose.jpg Image:Photo Gallery/UseCaseNick.jpg

House of Quality

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Function Decomposition

Functional Decomposition.jpg

Concept Generation & Development

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System & Detail Design

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Test Plans

<Insert Link>

Poster & Final Report

<Insert Link>

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