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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 “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.

Original language	English
Title of host publication	Advances in Production - Intelligent Systems in Production Engineering and Maintenance
Editors	Anna Burduk, Andre Batako, José Machado, Ryszard Wyczółkowski, Katarzyna Antosz, Arkadiusz Gola
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	188-199
Number of pages	12
ISBN (Print)	9783031450204
DOIs	https://doi.org/10.1007/978-3-031-45021-1_14
Publication status	Published - 2023
Event	4th International Conference on Intelligent Systems in Production Engineering and Maintenance , ISPEM 2023 - Wroclaw, Poland Duration: 13 Sept 2023 → 15 Sept 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	790 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	4th International Conference on Intelligent Systems in Production Engineering and Maintenance , ISPEM 2023
Country/Territory	Poland
City	Wroclaw
Period	13/09/23 → 15/09/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Lean Manufacturing
management systems
statistical analysis

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Access to Document

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

Cite this

Podloch, I., & Nowacki, K. (2023). Lean Manufacturing Knowledge Correlation Model. In A. Burduk, A. Batako, J. Machado, R. Wyczółkowski, K. Antosz, & A. Gola (Eds.), Advances in Production - Intelligent Systems in Production Engineering and Maintenance (pp. 188-199). (Lecture Notes in Networks and Systems; Vol. 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. editor / Anna Burduk ; Andre Batako ; José Machado ; Ryszard Wyczółkowski ; Katarzyna Antosz ; Arkadiusz Gola. Springer Science and Business Media Deutschland GmbH, 2023. pp. 188-199 (Lecture Notes in Networks and Systems).

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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",

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Podloch, I & Nowacki, K 2023, Lean Manufacturing Knowledge Correlation Model. in A Burduk, A Batako, J Machado, R Wyczółkowski, K Antosz & A Gola (eds), Advances in Production - Intelligent Systems in Production Engineering and Maintenance. Lecture Notes in Networks and Systems, vol. 790 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 188-199, 4th International Conference on Intelligent Systems in Production Engineering and Maintenance , ISPEM 2023, Wroclaw, Poland, 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. ed. / Anna Burduk; Andre Batako; José Machado; Ryszard Wyczółkowski; Katarzyna Antosz; Arkadiusz Gola. Springer Science and Business Media Deutschland GmbH, 2023. p. 188-199 (Lecture Notes in Networks and Systems; Vol. 790 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

Y2 - 13 September 2023 through 15 September 2023

ER -

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

Lean Manufacturing Knowledge Correlation Model

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this