This repository contains model development and analysis proposed in Cummings et al [1]. This github repository was co-developed by Jarold Montez, Ishaan Jolly and Song Feng for the Topics in n accordance with the Topics in Applied Operational Research course project at the University of Edinburgh. We were very kindly advised by Dr Thomas Bryne for our project.
Note: we will be very glad if someone wants to reach to us regarding the implementation of our code. We can be reached at any of the following :-
Song Feng: [email protected]
Ishaan Jolly: [email protected]/ [email protected]
Jarold Montes: [email protected]
This repository contains the following documents:
- commands: folder with the commands files to be used in NEOS server
- data: folder with the data files to be used in NEOS server
- functions: package with modules to generate trial data and recover the results obtained form NEOS.
- model: folder with the model files to be used in NEOS Server.
- results: folder with .txt files with the results extracted from NEOS.
- Figure_2_and_4.ipynb: Jupyter notebook with the code to generate figures 2 and 4 of the report.
- process.ipynb: Jupyter notebook which employs package functions to generate data and recover the result from NEOS. It explains how to use the files in folders commands, data and results. It also generates Figures 3 and 5 of our report.
- Business_net_income_2018.xlsx: file with the business net income results for 2018 of Sanofi Pasteur. We used information form this file to derive target profit of this manufacturer.
- Estimating_demand_curve_coefficients.xlsx: file with the stimation of demand and paramenters of a, b and c of the model for years 2018 and 2019.
- Estimating_target_profit_2019.xlsx: file with the estimation of target profits for Sanofi Pasteur and GlaxoSmithKline for 2019.
Main Reference:
[1]: Cummings, K., S. Martonosi, and B. Behzad, "Centers for Disease Control and Prevention as a Strategic Agent in the Pediatric Vaccine Market: An Analytical Approach," Manufacturing and Services Operations Management, Articles in Advance (2020))