Identification of the impact of workload leveling factors (Heijunka) – BOST method case study

• Autorzy: Mielczarek Krzysztof

Identyfikatory

DOI

10.2478/cqpi-2021-0018

• Języki publikacji: EN

Abstrakty

EN

The article presents a case study of the practical use of BOST surveys to identify the most important areas in the execution of production process. It was made the identification of areas from the four Toyota’s management principle point of view. The research object is company producing the different metal products. Some production workers of the company with the help of BOST questionnaire survey showed, which factors are the most important in production process. In frames of the work it was the presentation of research methodology and content four Toyota’s management principle. Based on the survey results of carried out on the population of production workers, a series of importance areas for improvement was formulated. The aim of the analysis is to present which factors are the most important by building the significance sequences of obtained results. The results obtained for the type of small and medium-sized enterprises overlap with the results of tests verified in other enterprises.

Słowa kluczowe

EN

BOST method; importance hierarchy; Toyota’s management principles; statistical analysis

PL

metoda BOST; hierarchia ważności; zasady zarządzania Toyoty; analiza statystyczna

• Wydawca: De Gruyter
• Czasopismo: Quality Production Improvement - QPI
• Rocznik: 2021
• Tom: Vol. 3, Iss. 1
• Strony: 198--204
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Mielczarek Krzysztof

• Czestochowa University of Technology, Poland

• https://orcid.org/0000-0003-3701-0192

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).