Lean Manufacturing Knowledge Correlation Model

Iwo Podloch; Krzysztof Nowacki

doi:10.1007/978-3-031-45021-1_14

Lean Manufacturing Knowledge Correlation Model

Magna International

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

Abstrakt

This article describes the results of a statistical study based on data collected in a survey. The questionnaire survey conducted at one of the Polish plants of an international automotive corporation was designed to investigate the level of knowledge, attitudes and awareness towards issues related to production management systems. Statistical analysis derives the correlations occurring in the “knowledge” subgroup of the data, and a substantive expert study was conducted based on the results. In the study, in addition to describing the correlations captured, a description is undertaken of how to improve the performance of areas with the weakest knowledge level scores using the correlations detected.

Język oryginału	angielski
Tytuł publikacji goszczącej	Advances in Production - Intelligent Systems in Production Engineering and Maintenance
Redaktorzy	Anna Burduk, Andre Batako, José Machado, Ryszard Wyczółkowski, Katarzyna Antosz, Arkadiusz Gola
Wydawca	Springer Science and Business Media Deutschland GmbH
Strony	188-199
Liczba stron	12
ISBN (drukowany)	9783031450204
Identyfikatory DOI	https://doi.org/10.1007/978-3-031-45021-1_14
Status publikacji	Opublikowano - 2023
Wydarzenie	4th International Conference on Intelligent Systems in Production Engineering and Maintenance , ISPEM 2023 - Wroclaw, Polska Czas trwania: 13 wrz 2023 → 15 wrz 2023

Seria publikacji

Nazwa	Lecture Notes in Networks and Systems
Tom	790 LNNS
ISSN (drukowany)	2367-3370
ISSN (elektroniczny)	2367-3389

Konferencja

Konferencja	4th International Conference on Intelligent Systems in Production Engineering and Maintenance , ISPEM 2023
Kraj/Terytorium	Polska
Miejscowość	Wroclaw
Okres	13/09/23 → 15/09/23

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 9 Przemysł, innowacje i infrastruktura

Obszary tematyczne ASJC Scopus

Inżynieria sterowania i systemów
Przetwarzanie sygnałów
Sieci komputerowe i komunikacja

Uzyskaj dostęp do dokumentu

10.1007/978-3-031-45021-1_14

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

Podloch, I., & Nowacki, K. (2023). Lean Manufacturing Knowledge Correlation Model. W A. Burduk, A. Batako, J. Machado, R. Wyczółkowski, K. Antosz, & A. Gola (Red.), Advances in Production - Intelligent Systems in Production Engineering and Maintenance (str. 188-199). (Lecture Notes in Networks and Systems; Tom 790 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-45021-1_14

Podloch, Iwo ; Nowacki, Krzysztof. / Lean Manufacturing Knowledge Correlation Model. Advances in Production - Intelligent Systems in Production Engineering and Maintenance. redaktor / Anna Burduk ; Andre Batako ; José Machado ; Ryszard Wyczółkowski ; Katarzyna Antosz ; Arkadiusz Gola. Springer Science and Business Media Deutschland GmbH, 2023. str. 188-199 (Lecture Notes in Networks and Systems).

@inproceedings{a24eea0c48bd4e2ab719d76768c39746,

title = "Lean Manufacturing Knowledge Correlation Model",

abstract = "This article describes the results of a statistical study based on data collected in a survey. The questionnaire survey conducted at one of the Polish plants of an international automotive corporation was designed to investigate the level of knowledge, attitudes and awareness towards issues related to production management systems. Statistical analysis derives the correlations occurring in the {\textquotedblleft}knowledge{\textquotedblright} subgroup of the data, and a substantive expert study was conducted based on the results. In the study, in addition to describing the correlations captured, a description is undertaken of how to improve the performance of areas with the weakest knowledge level scores using the correlations detected.",

keywords = "Lean Manufacturing, management systems, statistical analysis",

author = "Iwo Podloch and Krzysztof Nowacki",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.; 4th International Conference on Intelligent Systems in Production Engineering and Maintenance , ISPEM 2023 ; Conference date: 13-09-2023 Through 15-09-2023",

year = "2023",

doi = "10.1007/978-3-031-45021-1\_14",

language = "English",

isbn = "9783031450204",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "188--199",

editor = "Anna Burduk and Andre Batako and Jos{\'e} Machado and Ryszard Wycz{\'o}{\l}kowski and Katarzyna Antosz and Arkadiusz Gola",

booktitle = "Advances in Production - Intelligent Systems in Production Engineering and Maintenance",

address = "Germany",

}

Podloch, I & Nowacki, K 2023, Lean Manufacturing Knowledge Correlation Model. w A Burduk, A Batako, J Machado, R Wyczółkowski, K Antosz & A Gola (red), Advances in Production - Intelligent Systems in Production Engineering and Maintenance. Lecture Notes in Networks and Systems, tom 790 LNNS, Springer Science and Business Media Deutschland GmbH, str. 188-199, 4th International Conference on Intelligent Systems in Production Engineering and Maintenance , ISPEM 2023, Wroclaw, Polska, 13/09/23. https://doi.org/10.1007/978-3-031-45021-1_14

Lean Manufacturing Knowledge Correlation Model. / Podloch, Iwo ; Nowacki, Krzysztof.
Advances in Production - Intelligent Systems in Production Engineering and Maintenance. red. / Anna Burduk; Andre Batako; José Machado; Ryszard Wyczółkowski; Katarzyna Antosz; Arkadiusz Gola. Springer Science and Business Media Deutschland GmbH, 2023. str. 188-199 (Lecture Notes in Networks and Systems; Tom 790 LNNS).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - Lean Manufacturing Knowledge Correlation Model

AU - Podloch, Iwo

AU - Nowacki, Krzysztof

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

PY - 2023

Y1 - 2023

N2 - This article describes the results of a statistical study based on data collected in a survey. The questionnaire survey conducted at one of the Polish plants of an international automotive corporation was designed to investigate the level of knowledge, attitudes and awareness towards issues related to production management systems. Statistical analysis derives the correlations occurring in the “knowledge” subgroup of the data, and a substantive expert study was conducted based on the results. In the study, in addition to describing the correlations captured, a description is undertaken of how to improve the performance of areas with the weakest knowledge level scores using the correlations detected.

AB - This article describes the results of a statistical study based on data collected in a survey. The questionnaire survey conducted at one of the Polish plants of an international automotive corporation was designed to investigate the level of knowledge, attitudes and awareness towards issues related to production management systems. Statistical analysis derives the correlations occurring in the “knowledge” subgroup of the data, and a substantive expert study was conducted based on the results. In the study, in addition to describing the correlations captured, a description is undertaken of how to improve the performance of areas with the weakest knowledge level scores using the correlations detected.

KW - Lean Manufacturing

KW - management systems

KW - statistical analysis

UR - https://www.scopus.com/pages/publications/85175847065

U2 - 10.1007/978-3-031-45021-1_14

DO - 10.1007/978-3-031-45021-1_14

M3 - Conference contribution

AN - SCOPUS:85175847065

SN - 9783031450204

T3 - Lecture Notes in Networks and Systems

SP - 188

EP - 199

BT - Advances in Production - Intelligent Systems in Production Engineering and Maintenance

A2 - Burduk, Anna

A2 - Batako, Andre

A2 - Machado, José

A2 - Wyczółkowski, Ryszard

A2 - Antosz, Katarzyna

A2 - Gola, Arkadiusz

PB - Springer Science and Business Media Deutschland GmbH

T2 - 4th International Conference on Intelligent Systems in Production Engineering and Maintenance , ISPEM 2023

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ER -

Podloch I , Nowacki K. Lean Manufacturing Knowledge Correlation Model. W Burduk A, Batako A, Machado J, Wyczółkowski R, Antosz K, Gola A, redaktorzy, Advances in Production - Intelligent Systems in Production Engineering and Maintenance. Springer Science and Business Media Deutschland GmbH. 2023. str. 188-199. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-45021-1_14

Lean Manufacturing Knowledge Correlation Model

Abstrakt

Seria publikacji

Konferencja

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

Fingerprint

Cytowanie