GitHub - tanmoyie/Location-allocation-using-MIP: Python implementation of the optimization model proposed in paper titled "A mixed integer programming approach to improve oil spill response resource allocation in the Canadian arctic"

Location Allocation using MIP

Situation

Develop a Mixed Integer Programming (MIP) optimization model for an oil spill problem to help strategic decision-making.

Task

Find answer of the following questions: How many and where to build oil spill response stations in Canadian Arctic? Will additional response stations improve coverage?

Action

Build optimization model to find optimal facility location and allocation. This Optimization Model Maximize spill coverage while ensuring minimum response time, and sensitive areas are covered.

Result

• 95% spill coverage • Build 5 response stations

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Inputs		Inputs
Outputs		Outputs
.DS_Store		.DS_Store
LICENSE		LICENSE
README.md		README.md
custom_functions.py		custom_functions.py
data_visualization.py		data_visualization.py
main.py		main.py
main_predictive_analytics_and_modeling.ipynb		main_predictive_analytics_and_modeling.ipynb
model_PAMIP.py		model_PAMIP.py
model_analysis.py		model_analysis.py
model_mclp.py		model_mclp.py
readme Python implementation of PA-MIP.docx		readme Python implementation of PA-MIP.docx
requirement.txt		requirement.txt

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tanmoyie/Location-allocation-using-MIP

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Location Allocation using MIP

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