Dataset for: An Integrated Lean, Smart, and Circular Manufacturing Model for Operational Efficiency in the Textile Industry
Description
This dataset supports the research article submitted to the Journal of Intelligent Manufacturing. It contains raw data, processed data, model inputs, computational scripts, and final results used to validate the proposed integrated manufacturing model, which combines lean manufacturing practices, smart manufacturing technologies, and circular economy principles within a textile production system. The dataset enables transparency and reproducibility of the proposed methodology and supports the evaluation of its impact on operational efficiency, resource utilization, waste reduction, and overall production performance.
Files
Steps to reproduce
1. Review the raw production and operational data available in the 01_Raw_Data folder. 2. Use the datasets in the 02_Processed_Data folder, which were cleaned and transformed to derive performance indicators and to generate the input parameters required for the simulation and optimization models. 3. Execute the Python scripts provided in the 03_Model_and_Code folder using Python 3.10 or higher to run the advanced planning and intelligent manufacturing models. 4. The resulting outputs, performance indicators, and scenario analyses will be generated and can be compared with the numerical results reported in the 04_Results folder.
Institutions
- Universidad Peruana de Ciencias Aplicadas