Analysis of lean manufacturing strategy using system dynamics modelling of a business model
International Journal of Lean Six Sigma
ISSN: 2040-4166
Article publication date: 2 September 2019
Issue publication date: 26 November 2020
Abstract
Purpose
A system dynamics (SD)-based methodology is described for analysing the impact of lean manufacturing strategies on a company's business performance, using business model canvas (BMC) perspective.
Design/methodology/approach
A case study approach is used to describe the methodology which consists of conceptualising a SD model on the basis of BMC. The base SD model is elaborated to include variables and concepts that consider the effects of lean manufacturing metrics on business performance. In the modelling experimentation, the lean manufacturing metrics are made to take on likely values one would expect if certain lean practices are initiated or improved. The experimental results provide one with the likely impact on business performance, if one were to improve lean manufacturing practices.
Findings
The simulation results for the case study show that lean improvements, on the short-run, have a significant impact on business performance, but in the long run, the impact is only marginal.
Research implications/limitations
The described methodology provides one with a structured format for investigating the impact of lean practices on business performance. Although the developed SD model was built with generality in mind, it remains to be reproduced in other settings to test its replicability.
Practical implications
The methodology enables an organisation target which lean improvements to initiate based on their strategic impact on the business.
Originality/value
Limited studies exist where SD and business models are combined to test the strategic impact of lean manufacturing.
Keywords
Citation
Gomez Segura, M., Oleghe, O. and Salonitis, K. (2020), "Analysis of lean manufacturing strategy using system dynamics modelling of a business model", International Journal of Lean Six Sigma, Vol. 11 No. 5, pp. 849-877. https://doi.org/10.1108/IJLSS-05-2017-0042
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited