DOAJ Open Access 2024

Enhancing Scrap Reduction in Electric Motor Manufacturing for the Automotive Industry: A Case Study Using the PDCA (Plan–Do–Check–Act) Approach

Miguel-Ángel Rangel-Sánchez José-De-Jesús Urbina-González José-Luis Carrera-Escobedo Omar-Alejandro Guirette-Barbosa Virgilio-Alfonso Murillo-Rodríguez +3 lainnya

Abstrak

The automotive industry is increasingly focused on waste management, elimination, and reduction to achieve sustainability and cost reduction. This focus drives the industry towards resource-efficient operations that minimize environmental impact while exceeding customer expectations. Meeting these demands necessitates the adoption of more efficient production methodologies, such as the PDCA cycle. This work presents a case study that illustrates the application of the PDCA methodology to minimize scrap generation due to process variability in a multinational company that manufactures electric motors for the automotive industry. The aim was to demonstrate how the PDCA methodology can improve quality standards by minimizing scrap generated during the manufacture of electrical armatures. Notably, the organization in this case study set a waste target of 0.7%, which was significantly exceeded. Finally, the implementation of this methodology can deliver significant economic benefits, with a total annual cost reduction of approximately USD 135,000.

Penulis (8)

M

Miguel-Ángel Rangel-Sánchez

J

José-De-Jesús Urbina-González

J

José-Luis Carrera-Escobedo

O

Omar-Alejandro Guirette-Barbosa

V

Virgilio-Alfonso Murillo-Rodríguez

J

José-María Celaya-Padilla

H

Héctor-Antonio Durán-Muñoz

O

Oscar Cruz-Domínguez

Format Sitasi

Rangel-Sánchez, M., Urbina-González, J., Carrera-Escobedo, J., Guirette-Barbosa, O., Murillo-Rodríguez, V., Celaya-Padilla, J. et al. (2024). Enhancing Scrap Reduction in Electric Motor Manufacturing for the Automotive Industry: A Case Study Using the PDCA (Plan–Do–Check–Act) Approach. https://doi.org/10.3390/app14072999

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Informasi Jurnal
Tahun Terbit
2024
Sumber Database
DOAJ
DOI
10.3390/app14072999
Akses
Open Access ✓