Code and supplementary tables for: Does product information reach the reverse supply chain? An audit of 16,464 post-consumer garments and implications for sorting, extended producer responsibility and digital product passports
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Analysis code and supplementary tables for the manuscript "Does product information reach the reverse supply chain? An audit of 16,464 post-consumer garments and implications for sorting, extended producer responsibility and digital product passports" (submitted to Production Planning & Control). Files. Code_PPC.zip holds ppc_analysis.py, which reproduces every number in the manuscript's tables, figures and text; brand_to_group.csv, the brand-to-corporate-group mapping with verification notes and sources (Table S8); and a README that maps each output to the manuscript. Supplementary_Tables_PPC.xlsx holds Supplementary Tables S1-S15 and results.json holds every reported number, both exactly as written by the script. Data. The script reads NPCGA_datatable_1.1.csv from the public Norway post-consumer garment dataset (Pettersen et al., 2026, https://doi.org/10.5281/zenodo.20440761, CC BY-SA 4.0). Download that one file (5 MB) into the folder with the script; the photo archives in that record are not used. Requires Python 3.10 or later with numpy, pandas, scipy, statsmodels and openpyxl. Run: python ppc_analysis.py (15-25 minutes; random seeds are fixed, so results are identical between runs). The supplementary tables are derived from that dataset and are shared under the same licence (CC BY-SA 4.0), which applies to this record as a whole. No external funding. Authors: Md Hasan Al Mamun (corresponding, mamun@tiangong.edu.cn), Muhammad Shahjalal, Yaming Jiang.
