Data for the paper "An Efficient Approximation to the Pull Policy for Hybrid Manufacturing and Remanufacturing Systems with Setup Costs".
Since this has not yet been published, I will not put who the co-authors are.
############################################################################################################### File Name: Test for Validity of Approximation Results_Github Upload.xlsx
Outlines the results of the numerical studies and approximations presented in the paper
Section Headers:
Problem Parameters - Simulation and Approximation Parameters
Obtained from Modified Federgruen and Zheng - Double RQ parameters obtained when using the Modified Federgruen and Zheng Algorithm
Obtained from Simulation-Optimization - pull policy parameters obtained when using the Simulation-Optimization Method
vdl and Teunter Approximated Parameters - pull policy parameters obtained when using van der Laan and Teunter's (2006) heuristic/approximation
Results and Comparison - Percent Cost Difference between the described approaches
############################################################################################################### File Name: Test for Validity of Approximation Results_Github Upload
Contains the results of the Statistical Comparison between the Double (r, Q) Approximation and Procedure 1 in the paper
############################################################################################################### CODE: Files can be found in Double RQ Code.zip
Input Files:
RandomNumbers.csv and SampleParameters.csv
These file names can be changed, but it also has to be changed in the code
Initialization:
There are two initialization files:
1.) Simulation_Initilization.py
This file runs the numerical study which calculates the Double RQ approximation and the Simulation-optimization method.
2.) Initialization.py
This file runs the numerical study which calculates the van der Laan and Teunter (2006) estimate and compares it with the 2RQ and v2RQ policies