Barriers to Implementing Lean Six Sigma in the Chemical Process Industry: The Case of Brazil

Caroline Tortorelli and Amílcar Arantes ()
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Caroline Tortorelli: Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal
Amílcar Arantes: CERIS, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal

Sustainability, 2024, vol. 16, issue 24, 1-22

Abstract: Lean Six Sigma (LSS) is recognized as a powerful process improvement methodology for enhancing operational efficiency and long-term sustainability. This study examined the barriers hindering LSS implementation in the chemical process industry within an emerging economy, Brazil. It developed a structured methodology for designing mitigation measures to overcome those barriers. First, 26 barriers from the literature were ranked by LSS experts through a Delphi survey to select the top 15. Then, a combined interpretive structural modeling (ISM) approach and impact matrix cross-reference multiplication applied to a classification (MICMAC) analysis approach was used, supported by a focus group, to determine the hierarchical relationships among the barriers and their driving power and dependence. Finally, a second focus group defined adequate mitigation measures. The top four main barriers are the lack of time, insufficient systemic understanding of lean principles, misalignment between LSS and corporate strategies, and inadequate top management commitment. Additionally, 10 mitigation measures are proposed. This study contributes to LSS implementation in the chemical process industry in Brazil, thus enhancing industry sustainability by improving operational efficiency, curbing waste, reducing transportation-related emissions through a decreasing reliance on imported chemical products, and contributing to economic growth and job creation within the industry.

Keywords: chemical process industry; Lean Six Sigma; sustainability; sustainable management; ISM; MICMAC analysis; barrier; mitigation measure (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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