Details
| Original language | English |
|---|---|
| Title of host publication | Smart, Sustainable Manufacturing in an Ever-Changing World |
| Subtitle of host publication | Proceedings of International Conference on Competitive Manufacturing (COMA ’22) |
| Place of Publication | Cham |
| Pages | 97-108 |
| Number of pages | 12 |
| ISBN (electronic) | 9783031156021 |
| Publication status | Published - 4 Mar 2023 |
Publication series
| Name | Lecture Notes in Production Engineering |
|---|---|
| Volume | Part F1162 |
| ISSN (Print) | 2194-0525 |
| ISSN (electronic) | 2194-0533 |
Abstract
In order to increase the effectiveness and efficiency of (digital) production controlling, information systems are useful tools to provide and display required information. Regarding condensing information related to production logistics, logistic models and frameworks, like the Supply Chain Operations Reference (SCOR) model, provide a collection of Key Performance Indicators (KPIs). The transfer of KPIs from logistic models to effective information systems faces the challenge of providing user-specific and appropriate information through individual key figures on strategic, tactical and operational levels. Additionally, a missing structural and procedural organization of (digital) production controlling prevents effective information management and consequently homogenous and targeted decisions within production controlling. To exploit the potential of data-driven production based on the transformation of raw data into useful information with the aim of effective information management, an approach for a production controlling governance is presented below. This approach systematizes corporate strategies, organizational structures, the production controlling process, KPIs resulting from logistic models, and information needs to ensure homogenous information systems and targeted decision-making processes in the context of production controlling.
Keywords
- Governance, Information systems, Production controlling, Production logistics, Structural and procedural organization
ASJC Scopus subject areas
- Engineering(all)
- Industrial and Manufacturing Engineering
- Economics, Econometrics and Finance(all)
- Economics, Econometrics and Finance (miscellaneous)
- Engineering(all)
- Safety, Risk, Reliability and Quality
Cite this
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Smart, Sustainable Manufacturing in an Ever-Changing World: Proceedings of International Conference on Competitive Manufacturing (COMA ’22). Cham, 2023. p. 97-108 (Lecture Notes in Production Engineering; Vol. Part F1162).
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Production Controlling Governance to Ensure Homogenous Information Systems and Targeted Decision-Making Processes
AU - Demke, T. M.
AU - Mütze, A.
AU - Nyhuis, P.
PY - 2023/3/4
Y1 - 2023/3/4
N2 - In order to increase the effectiveness and efficiency of (digital) production controlling, information systems are useful tools to provide and display required information. Regarding condensing information related to production logistics, logistic models and frameworks, like the Supply Chain Operations Reference (SCOR) model, provide a collection of Key Performance Indicators (KPIs). The transfer of KPIs from logistic models to effective information systems faces the challenge of providing user-specific and appropriate information through individual key figures on strategic, tactical and operational levels. Additionally, a missing structural and procedural organization of (digital) production controlling prevents effective information management and consequently homogenous and targeted decisions within production controlling. To exploit the potential of data-driven production based on the transformation of raw data into useful information with the aim of effective information management, an approach for a production controlling governance is presented below. This approach systematizes corporate strategies, organizational structures, the production controlling process, KPIs resulting from logistic models, and information needs to ensure homogenous information systems and targeted decision-making processes in the context of production controlling.
AB - In order to increase the effectiveness and efficiency of (digital) production controlling, information systems are useful tools to provide and display required information. Regarding condensing information related to production logistics, logistic models and frameworks, like the Supply Chain Operations Reference (SCOR) model, provide a collection of Key Performance Indicators (KPIs). The transfer of KPIs from logistic models to effective information systems faces the challenge of providing user-specific and appropriate information through individual key figures on strategic, tactical and operational levels. Additionally, a missing structural and procedural organization of (digital) production controlling prevents effective information management and consequently homogenous and targeted decisions within production controlling. To exploit the potential of data-driven production based on the transformation of raw data into useful information with the aim of effective information management, an approach for a production controlling governance is presented below. This approach systematizes corporate strategies, organizational structures, the production controlling process, KPIs resulting from logistic models, and information needs to ensure homogenous information systems and targeted decision-making processes in the context of production controlling.
KW - Governance
KW - Information systems
KW - Production controlling
KW - Production logistics
KW - Structural and procedural organization
UR - http://www.scopus.com/inward/record.url?scp=85166668851&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-15602-1_8
DO - 10.1007/978-3-031-15602-1_8
M3 - Contribution to book/anthology
SN - 9783031156014
SN - 978-3-031-15604-5
T3 - Lecture Notes in Production Engineering
SP - 97
EP - 108
BT - Smart, Sustainable Manufacturing in an Ever-Changing World
CY - Cham
ER -