Concepedia

TLDR

Evidence indicates that lean methods and tools can improve manufacturing operations, yet their impact on cost, speed, dependability, quality, and flexibility remains unclear. This study examines how five core lean practices—JIT, autonomation, kaizen, TPM, and VSM—affect these operational performance metrics. Using linear regression and structural equation modeling on data from 140 global manufacturers, the authors assessed the correlation and influence of each lean practice on performance. Results show that JIT and autonomation significantly enhance performance, whereas kaizen, TPM, and VSM have weaker or negative effects, offering managers clearer insight into lean strategy outcomes.

Abstract

Evidence suggests that lean methods and tools have helped manufacturing organisations to improve their operations and processes. However, the real effect of these methods and tools on contemporary measures of operational performance, i.e. cost, speed, dependability, quality and flexibility, is still unclear. This paper investigates the impact of five essential lean methods, i.e. JIT, autonomation, kaizen, total productive maintenance (TPM) and value stream mapping (VSM), on these measures. A linear regression analysis modelled the correlation and impact of these lean practices on the operational performance of 140 manufacturing organisations around the world. In addition, structural equation modelling (SME) was used to cross verify the findings of the regression and correlation analyses. The results indicate that JIT and automation have the strongest significance on operational performance while kaizen, TPM and VSM seem to have a lesser, or even negative, effect on it. This paper provides further evidence regarding the effects that lean practices have on the performance of organisations and thus the research offers companies, and their managers, a better understanding of the relationship between the lean strategy and the performance of their operations.

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