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Volume 14
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10.3390/app14041475
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Article

Lean Manufacturing Assessment: Dimensional Analysis with Hesitant Fuzzy Linguistic Term Sets

by
William Alexander Chitiva-Enciso
,
Luis Asunción Pérez-Domínguez
*,
Roberto Romero-López
,
David Luviano-Cruz
,
Iván Juan Carlos Pérez-Olguín
and
Luis Carlos Méndez-González
Departamento de Ingeniería Industrial y Manufactura, Universidad Autónoma de Ciudad Juárez, Av. Plutarco Elías Calles 1210 Fovissste Chamizal, Ciudad Juárez 32310, Mexico
*
Author to whom correspondence should be addressed.
Appl. Sci. 2024, 14(4), 1475; https://doi.org/10.3390/app14041475
Submission received: 27 December 2023 / Revised: 7 February 2024 / Accepted: 8 February 2024 / Published: 11 February 2024
(This article belongs to the Special Issue Advances in Manufacturing Ergonomics)
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Abstract

Lean Manufacturing has become, in recent years, one of the most important philosophies for improving production and organizational systems. The literature shows that Hesitant Fuzzy Linguistic Terms Sets (HFLTSs) are highly capable of manipulating the uncertainty that the judgments made by evaluators carry and that they are subject to their perception, especially when used in combination with multicriteria decision making (MCDM) for the measurement of indicators in this type of system, as well as their general performance. However, it is still of interest to researchers to develop techniques and instruments that facilitate the measurement of the results obtained after applying this philosophy in organizations. This article proposes a model for the evaluation of the Lean Manufacturing performance through the Analytic Hierarchy Process (AHP) and Dimensional Analysis (DA) using HFLTSs. The results obtained show that the proposed model is a solid tool for the evaluation of Lean Manufacturing systems from a different perspective and that it can be integrated into the issuance of evaluations in a better way by considering human subjectivity. At the same time, it offers a strategy to create priorities in the action plans that Lean system managers propose after evaluating. However, it is important to apply the proposed model to multiple organizations and analyze the results obtained to maximize its benefits.
Keywords: MCDM; lean manufacturing; dimensional analysis; HFLTS; AHP MCDM; lean manufacturing; dimensional analysis; HFLTS; AHP

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MDPI and ACS Style

Chitiva-Enciso, W.A.; Pérez-Domínguez, L.A.; Romero-López, R.; Luviano-Cruz, D.; Pérez-Olguín, I.J.C.; Méndez-González, L.C. Lean Manufacturing Assessment: Dimensional Analysis with Hesitant Fuzzy Linguistic Term Sets. Appl. Sci. 2024, 14, 1475. https://doi.org/10.3390/app14041475

AMA Style

Chitiva-Enciso WA, Pérez-Domínguez LA, Romero-López R, Luviano-Cruz D, Pérez-Olguín IJC, Méndez-González LC. Lean Manufacturing Assessment: Dimensional Analysis with Hesitant Fuzzy Linguistic Term Sets. Applied Sciences. 2024; 14(4):1475. https://doi.org/10.3390/app14041475

Chicago/Turabian Style

Chitiva-Enciso, William Alexander, Luis Asunción Pérez-Domínguez, Roberto Romero-López, David Luviano-Cruz, Iván Juan Carlos Pérez-Olguín, and Luis Carlos Méndez-González. 2024. "Lean Manufacturing Assessment: Dimensional Analysis with Hesitant Fuzzy Linguistic Term Sets" Applied Sciences 14, no. 4: 1475. https://doi.org/10.3390/app14041475

APA Style

Chitiva-Enciso, W. A., Pérez-Domínguez, L. A., Romero-López, R., Luviano-Cruz, D., Pérez-Olguín, I. J. C., & Méndez-González, L. C. (2024). Lean Manufacturing Assessment: Dimensional Analysis with Hesitant Fuzzy Linguistic Term Sets. Applied Sciences, 14(4), 1475. https://doi.org/10.3390/app14041475

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