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Lean manufacturing and business performance: testing the S-curve theory

Version 4 2024-03-13, 16:10
Version 3 2023-10-29, 15:19
journal contribution
posted on 2024-03-13, 16:10 authored by Léony Luis Lopes Negrão, Beatriz Lopes de Sousa Jabbour, Hengky Latan, Moacir Godinho Filho, Charbel Jose Chiappetta Jabbour, Gilberto Miller Devós Ganga

This article makes a case for the importance of exploring patterns in the relationship between the adoption of lean manufacturing practices and business performance. This relationship has been described as ambiguous, because it has variously appeared to be positive, insignificant, and negative. Accordingly, this article tests this relationship for non-linearity and shows that it follows the S-Curve theory. A survey of manufacturing companies in an industrial cluster in Brazil was undertaken. This region faces infrastructural challenges, such as geographic distance between purchasers and suppliers and a shortage of skilled Labour. Despite the conditions, these companies have significantly improved their operational, financial, and environmental performance through the adoption of lean practices. Thus, this article contributes to the literature on lean manufacturing by: (a) furthering the debate on the relationship between lean practices and business performance, and testing its adherence to the S-curve theory by means of survey research; and (b) simultaneously testing operational, financial and environmental performance as a result of the adoption of lean manufacturing practices. As a consequence of the S-shaped relationship demonstrated, managers need to be aware of the presence of inertial and saturation points in the adoption of lean manufacturing practices, so they can correctly allocate resources for improving the adoption of lean practices.

History

School affiliated with

  • Lincoln Business School (Research Outputs)

Publication Title

Production Planning & Control

Volume

31

Issue

10

Pages/Article Number

771-785

Publisher

Informa UK Limited

ISSN

0953-7287

eISSN

1366-5871

Date Submitted

2020-04-09

Date Accepted

2019-10-12

Date of First Publication

2019-01-01

Date of Final Publication

2019-01-01

Date Document First Uploaded

2020-04-16

ePrints ID

40572

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