Multi-objective Production Scheduling and Demand Forecasting Dataset

This repository contains the research data and codes supporting the study "Multi-objective production scheduling model integrating machine learning-based demand forecasting with consideration of substitute production in the textile industry."

The uploaded files include:- Gams for develop model.txt: GAMS code for the developed optimization model.- Gams for base model.txt: GAMS code for the baseline scheduling model.- Forecast_data.rar: Dataset used for machine learning-based demand forecasting.- Nsga2.rar: Implementation files for the NSGA-II optimization algorithm.- Beo.rar: Implementation files for the BEO optimization algorithm.

These resources provide the necessary data and codes to reproduce the results and extend the proposed methodology in textile production scheduling.