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Supply chain performance: how lean practices efficiently drive improvements

Guilherme Luz Tortorella (Department of Systems and Production Engineering, Universidade Federal de Santa Catarina, Florianópolis, Brazil)
Ricardo Giglio (Universidade Federal de Santa Catarina, Florianópolis, Brazil)
Jorge Limon-Romero (Universidad Autónoma de Baja California, Ensenada, México)

Journal of Manufacturing Technology Management

ISSN: 1741-038X

Article publication date: 3 April 2018

Issue publication date: 23 May 2018



The purpose of this paper aims at investigating which lean supply chain management (LSCM) practices efficiently improve the supply chain performance.


To achieve that, a cross-sectional survey was carried out with 113 manufacturing companies undergoing a lean implementation. The proposed method combines complementary methods of multivariate data analysis in order to determine which bundles of LSCM practices more efficiently entail improvements on supply chain performance.


The findings justify why some LSCM initiatives may find larger barriers than others, compromising their success due to misguided implementation efforts according to the desired performance improvement.


The empirical examination on the efficiency of LSCM practices with regards to a certain set of performance indicators provides guidelines with respect to LSCM implementation depending on which performance indicators are envisioned for improvement.



Tortorella, G.L., Giglio, R. and Limon-Romero, J. (2018), "Supply chain performance: how lean practices efficiently drive improvements", Journal of Manufacturing Technology Management, Vol. 29 No. 5, pp. 829-845.



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