Integration of Digital Inspection Cards with QMS/MES in the Automotive Parts Remanufacturing Process - A Case Study
Fragment książki (Rozdział monografii pokonferencyjnej)
MNiSW
20
Poziom I
| Status: | |
| Autorzy: | Wójcik Łukasz, Gola Arkadiusz, Pizoń Jakub |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Strony: | 220 - 232 |
| Web of Science® Times Cited: | 0 |
| Bazy: | Web of Science |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | TAK |
| Nazwa konferencji: | International Scientific-Technical Conference MANUFACTURING V |
| Skrócona nazwa konferencji: | MANUFACTURING 2026 |
| URL serii konferencji: | LINK |
| Termin konferencji: | 19 maja 2026 do 21 maja 2026 |
| Miasto konferencji: | Poznań |
| Państwo konferencji: | POLSKA |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| The article addresses the issue of quality assurance in remanufacturing, embedded in the circular economy paradigm. In particular, it presents the use of digital inspection cards integrated with MES/QMS, which standardize OK/NOK/Acceptable decisions, ensure full traceability, and feed quality analytics in a company involved in the regeneration of parts for the automotive industry. The case study presented covers the regeneration of brake calipers with two critical nodes: sorting (rejection rate of 31.73%; dominated by body corrosion, exceeded working length, and mechanical damage) and final testing (actual FAIL 1.88% of production; in the event log, 35.37% of actual rejects after excluding the “OK/for re-regeneration” items; >50% scrap due to corrosion of the body/handles). The implementation of digital inspection cards with data records by operators and quality engineers into MES/QMS improved the consistency of assessments and reduced inspection time. The results confirm that strengthening quality in regeneration accelerates the achievement of circular economy goals, combining environmental benefits with reduced quality costs and greater process predictability. |
