2022
DOI: 10.1016/j.aej.2022.02.047
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New Lean Six Sigma readiness assessment model using fuzzy logic: Case study within clothing industry

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Cited by 19 publications
(23 citation statements)
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“…Nature of contribution Parmar and Desai (2020) Defining the relationship between the enablers of implementing sustainable LSS Shukla et al (2021) Prioritization of the LSS project selection criteria Mundra and Mishra (2021) Identifying and analysing the impediments to implementing LSS Ali et al (2020) Evaluating the barriers to LSS implementation in manufacturing supply chains Swarnakar et al (2020) Identify and investigate a framework of critical success factors for LSS implementation Singh et al (2021a, b) Analysis and ranking of the barriers to implementing LSS in MSMEs Kaswan and Rathi (2019) Identifying and modelling the enablers of LSS implementation in green environment Raval et al (2018) Determining contextual relationships between LSS enablers and development of hypothetical ISM-based model Singh et al (2021a, b) Assessment and effective selection of LSS projects in a manufacturing environment Rathi et al (2019) Identification and prioritization Lean Six Sigma Barriers in MSMEs Baghban (2016) Analysing the interrelation of critical success factors of LSS in manufacturing industry Swarnakar and Vinodh (2015) Selection of optimal LSS project in an automotive component manufacturing Abbes et al (2022) Assessing and evaluating textile manufacturer's readiness before LSS implementation Baghban (2016) analysed the interrelationships of CSFs of LSS in the industry using a hybrid approach of Grey-DEMATEL. In the study, the LSS implementation factors were identified from the literature, and the identified factors were grouped into seven main factors for expert analysis.…”
Section: Authorsmentioning
confidence: 99%
“…Nature of contribution Parmar and Desai (2020) Defining the relationship between the enablers of implementing sustainable LSS Shukla et al (2021) Prioritization of the LSS project selection criteria Mundra and Mishra (2021) Identifying and analysing the impediments to implementing LSS Ali et al (2020) Evaluating the barriers to LSS implementation in manufacturing supply chains Swarnakar et al (2020) Identify and investigate a framework of critical success factors for LSS implementation Singh et al (2021a, b) Analysis and ranking of the barriers to implementing LSS in MSMEs Kaswan and Rathi (2019) Identifying and modelling the enablers of LSS implementation in green environment Raval et al (2018) Determining contextual relationships between LSS enablers and development of hypothetical ISM-based model Singh et al (2021a, b) Assessment and effective selection of LSS projects in a manufacturing environment Rathi et al (2019) Identification and prioritization Lean Six Sigma Barriers in MSMEs Baghban (2016) Analysing the interrelation of critical success factors of LSS in manufacturing industry Swarnakar and Vinodh (2015) Selection of optimal LSS project in an automotive component manufacturing Abbes et al (2022) Assessing and evaluating textile manufacturer's readiness before LSS implementation Baghban (2016) analysed the interrelationships of CSFs of LSS in the industry using a hybrid approach of Grey-DEMATEL. In the study, the LSS implementation factors were identified from the literature, and the identified factors were grouped into seven main factors for expert analysis.…”
Section: Authorsmentioning
confidence: 99%
“…La metodología Lean Six Sigma (LSS) es utilizada con el propósito de mejorar los procesos, reducir costos operativos, lograr una mejor eficiencia en los procesos, minimizar el impacto ambiental, entre otros factores aplicados al sector industrial. Al hacer una revisión de sus aplicaciones se detalla la contribución en organizaciones, enfocándose en analizar la administración operativa con base a la mejora continua de los procesos, y su importancia relevante en el escenario de la industria 4.0 (Abbes et al, 2022;Guleria et al, 2022;Ramírez et al, 2021;Rathi et al, 2021;.…”
Section: Introductionunclassified
“… DMAIC Six Sigma: Permite conocer la variación que hay en el proceso en cuanto a los requerimientos del cliente. Esta herramienta también se utiliza para el análisis estadístico para predecir la influencia de factores inciertos [16] La implementación de Six Sigma es una estrategia exitosa para reducir los defectos que se producen a lo largo de la línea de producción [21] II. METODOLOGÍA En esta presente investigación se considera que es diagnóstica por diseño y propositiva basada en ciencia formar y exacta.…”
Section: Introductionunclassified