Ranking lean tools for world class reach through grey relational analysis
Grey Systems: Theory and Application
ISSN: 2043-9377
Article publication date: 24 August 2018
Issue publication date: 24 September 2018
Abstract
Purpose
The lean production system and world class manufacturing (WCM) have been prominent in recent studies due to their conceptual synergy. However, although the number of studies is increasing, the research is immature, especially regarding the interaction between topics. Therefore, the purpose of this paper is to rank the tools of the lean production system, indicating how they help organizations achieve WCM, using the theory of grey systems.
Design/methodology/approach
Therefore, the authors conducted an initial survey to collect data to determine how the lean production tools are related to the WCM pillars. These data were analyzed by the grey relational analysis statistical method, which passes through the construction of four stages.
Findings
The results show that of the lean production tools, stream mapping, kaizen, total productive maintenance, Six Sigma, standardized work and 5S stand out for their use and implementation in the organizational environment and facilitate organizations’ transitions to world-class performance through the WCM pillars.
Practical implications
The results achieved guide organizations to use the tools of the lean production system to help them reach world class status.
Originality/value
This paper stands out in the field of operations management, specifically in the research on lean production, by making use of the theory of grey correlation system in an innovative and original way. In addition, it promotes the consolidation of information on two of the main administrative strategies currently employed in the organizational environment.
Keywords
Citation
Satolo, E.G., Leite, C., Calado, R.D., Goes, G.A. and Salgado, D.D. (2018), "Ranking lean tools for world class reach through grey relational analysis", Grey Systems: Theory and Application, Vol. 8 No. 4, pp. 399-423. https://doi.org/10.1108/GS-06-2018-0031
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited