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A case study for surgical mask production during the COVID-19 pandemic: continuous improvement with Kaizen and 5S applications
International Journal of Lean Six Sigma ; 2022.
Article in English | Web of Science | ID: covidwho-2191419
ABSTRACT
PurposeWith the emergence of the COVID-19 pandemic, the production shortage of personal protective equipment (PPE), such as surgical masks, has become increasingly significant. It is vital to quickly provide high-quality, hygienic PPE during pandemic periods. This comprehensive case study aims to confirm that Kaizen and 5S applications reduce wastage rates and stoppages, which as a result, created a more efficient and sustainable workplace in a small-mediumenterprise (SME) producing PPE in Turkey. Design/methodology/approachThe method for this case is discussed with the help of a flowchart using the DMAIC cycle D-define, M-measure, A-analyse, I-improve and C-control. FindingsThe total stoppages due to fishing line, gripper, piston and yarn welding have decreased by approximately 42.4%. As a result of eliminating wasted time and reduced changeovers, a total of 5,502 min have been saved per month. This increased production of approximately 10.55% per month, led to an addition of 506,184 units. Originality/valueThe use of lean manufacturing (LM), Six Sigma, Lean Six Sigma and continuous improvement methodologies are not common in textile SMEs. Based on the current literature reviewed, to the best of the authors' knowledge, this is the first comprehensive case study that combines statistical tools, such as hypothesis tests and LM practices, in the production process for a PPE company operating as a textile SME.
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Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Case report Language: English Journal: International Journal of Lean Six Sigma Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Case report Language: English Journal: International Journal of Lean Six Sigma Year: 2022 Document Type: Article