Green implementation of Lean Six Sigma projects in the manufacturing sector

A. Shokri,Gendao Li

Published 2020 in International Journal of Lean Six Sigma

ABSTRACT

Historically, Lean Six Sigma (LSS) implementation has demonstrated a great deal of enhancement to process efficiency, profitability and customer satisfaction. The emerging market pressure for developing better quality, cheaper and greener products invokes a change of view in LSS economical effectiveness. The purpose of this study is to identify under which condition the final output of LSS projects with traditional strategic benefits are more environmentally friendly.,To investigate the choice of different types of LSS projects, the environmental impact under different conditions and the comparison of those conditions, the author developed an analytical mathematical model and analysed four different propositions.,The final price and production volume were recommended as mediating factors to leverage an LSS project to achieve a greener, customised and finance-oriented outputs.,This research contributes to existing LSS research and knowledge development via promoting the different perspectives of LSS and environmental sustainability integration.,This study further enables managers to identify the cut-off point in relation to the production volume and finished prices to leverage the expected financial outputs and environmental impact of the LSS project. This would potentially promote a green LSS project in both implementation and output, alongside its traditional values.,This study uses a modelling approach to identify the conditions under which the actual methodology of the LSS project could be green via less energy consumption with consideration of expected LSS values and outcomes.

PUBLICATION RECORD

  • Publication year

    2020

  • Venue

    International Journal of Lean Six Sigma

  • Publication date

    2020-02-18

  • Fields of study

    Business, Engineering, Environmental Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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