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Open AccessFeature PaperArticle

Hesitant Fuzzy Linguistic Term and TOPSIS to Assess Lean Performance

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Department of Industrial and Manufacturing Engineering, Universidad Autónoma de Ciudad Juárez, Ave. Del Charro 450 Norte, Ciudad Juárez, Chihuahua 32315, Mexico
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Department of Industrial Engineering, New Mexico State University, Las Cruces, NM 88003-8001, USA
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Laboratorio Nacional de Tecnologías de Información, Conacyt–LANTI sede UACJ, Universidad Autónoma de Ciudad Juárez, Ave. Del Charro 450 Norte, Ciudad Juárez, Chihuahua 32315, Mexico
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(5), 873; https://doi.org/10.3390/app9050873
Received: 14 January 2019 / Revised: 18 February 2019 / Accepted: 24 February 2019 / Published: 28 February 2019
(This article belongs to the Special Issue Applied Engineering to Lean Manufacturing Production Systems)
Manufacturing companies usually expect strategic improvements to focus on reducing both waste and variability in processes, whereas markets demand greater flexibility and low product costs. To deal with this issue, lean manufacturing (LM) emerged as a solution; however, it is often challenging to evaluate its true effect on corporate performance. This challenge can be overcome, nonetheless, by treating it as a multi-criteria problem using the Hesitant Fuzzy linguistic and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. In fact, the hesitant fuzzy linguistic term sets (HFLTS) is vastly employed in decision-making problems. The main contribution of this work is a method to assess the performance of LM applications in the manufacturing industry using the hesitant fuzzy set and TOPSIS to deal with criteria and attitudes from decision makers regarding such LM applications. At the end of the paper, we present a reasonable study to analyze the obtained results. View Full-Text
Keywords: hesitant linsguistic fuzzy term sets; TOPSIS; lean manufacturing; KPI hesitant linsguistic fuzzy term sets; TOPSIS; lean manufacturing; KPI
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Pérez-Domínguez, L.; Luviano-Cruz, D.; Valles-Rosales, D.; Hernández Hernández, J.I.; Rodríguez Borbón, M.I. Hesitant Fuzzy Linguistic Term and TOPSIS to Assess Lean Performance. Appl. Sci. 2019, 9, 873.

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