Relationship between lean manufacturing tools and their sustainable economic benefits.

Autor: Díaz-Reza JR; Department of Electrical Engineering and Computer Science, Universidad Autónoma de Ciudad Juárez, Ave. Del Charro 450 Norte, Col. Partido Romero, Chihuahua Ciudad Juárez, CP 32310 Mexico., García-Alcaraz JL; Department of Industrial Engineering and Manufacturing, Universidad Autónoma de Ciudad Juárez, Ave. Del Charro 450 Norte, Col. Partido Romero, Chihuahua Ciudad Juárez, CP 32310 Mexico., Figueroa LJM; Department of Electrical Engineering and Computer Science, Universidad Autónoma de Ciudad Juárez, Ave. Del Charro 450 Norte, Col. Partido Romero, Chihuahua Ciudad Juárez, CP 32310 Mexico., Vidal RPI; Department of Computer Science and Industrial Engineering, University of Lleida, Ave. Pla de La Massa 8, Igualada, Barcelona, 08700 Spain., Muro JCSD; Department of Electrical Engineering, University of La Rioja, Edificio Departamental - C/San José de Calasanz, 31 La Rioja, Logroño, 26004 Spain.
Jazyk: angličtina
Zdroj: The International journal, advanced manufacturing technology [Int J Adv Manuf Technol] 2022; Vol. 123 (3-4), pp. 1269-1284. Date of Electronic Publication: 2022 Oct 12.
DOI: 10.1007/s00170-022-10208-0
Abstrakt: Traditionally, the isolated relationship of total preventive maintenance (TPM), quick setup (QS), overall equipment effectiveness (OEE), and one-piece flow (OPF) with economic sustainability (ESU) has been investigated; however, these lean manufacturing (LM) tools are implemented together into production systems, and traditional research does not report their relationships and interactions. To contribute to this gap, this paper integrates all those variables in a structural equation model (SEM), which are related by seven hypotheses that are validated using the partial least squares (PLS) technique using information from 176 responses to a questionnaire applied to the Mexican maquiladora industry. Additionally, a sensitivity analysis has been carried out to determine the probability of occurrence at high and low implementation levels for all variables when they occur in isolation, jointly and conditionally. Findings indicate that TPM is a precursor of QS and OEE, while QS is a precursor of OEE and OPF, OEE is a precursor of OPF and ESU, but also OPF is a precursor of ESU. The sensitivity analysis indicates that low levels of TPM are a risk for reaching adequate levels of OEE and QC, while low levels in OEE and OPF are a risk for reaching adequate ESU levels.
Supplementary Information: The online version contains supplementary material available at 10.1007/s00170-022-10208-0.
Competing Interests: Conflict of interestThe authors declare no competing interests.
(© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)
Databáze: MEDLINE
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