/SUA

SUA

Primary LanguagePython

Optimization Formulation

  • please refer to the PDF file.

Testing Environment

  • Tested on MacBook Pro with M1 MAX
  • Python 3.10.13

Dependency

  • scipy 1.11.4
  • pandas 2.1.4
  • numpy 1.26.3
  • pyomo 6.7.0
  • glpk 5.0
  • highs 1.5.3

Installation with Conda

  • in bash, create the following conda environment 
    conda env create -f environment.yml

Execution

  • after locating input_SUA.xlsx file in the root, please execute the following.

    python main.py --mu 0.1 --ns 100

  • argument mu is the ratio of aggregate surplus quantity across all products over the total estimated demands.

  • argumeent ns is the number of scenarios (samples) for representing the stochasticity of the demand