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 | 31-44 |
| Number of pages | 14 |
| 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 PPC, there are many interactions and dependencies that are difficult for the practical user to keep track of. These insecurities often lead to a configuration of PPC, which is locally optimized but not optimally carried out in the overall context of a company's target system. With a specially developed description and modeling approach, the interactions between PPC tasks, procedures, and logistical objectives are shown systematically and transparently to support the holistic and target-oriented design of PPC in perspective. The interdependencies presented in this paper have been compiled by contributions of various authors and transformed into a unified descriptive logic. To provide a comprehensive understanding of the interactions and interdependencies within PPC configuration, three levels of detail have been defined: First, the logistical objectives have to be examined in isolation. In this process, the central interdependencies at the level of the logistical objectives must be identified and presented in causal diagrams. The created impact network of interdependencies then serves as a basis for investigating the impact and interaction of PPC tasks. For each of the tasks then, primary and secondary interdependencies must be identified and visualized transparently with the help of isolated causal diagrams. On the final level of detail, the object of investigation has to change from task-specific to procedure-specific interdependencies, presenting (specific) input and output variables and impacts. Within the scope of this paper, an overview of the identified levels is given. For this purpose, the focus is exemplary on in-house production planning and control and the PPC task of order release.
Keywords
- Modeling, Objectives, PPC, Procedures, Production configuration, Production planning and control
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. 31-44 (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 - Modeling Interactions and Dependencies in Production Planning and Control
T2 - An Approach for a Systematic Description
AU - Mütze, Alexander
AU - Lebbing, Simon
AU - Hillnhagen, Simon
AU - Schmidt, Matthias
AU - Nyhuis, Peter
N1 - Funding Information: Acknowledgements The project “Systematic analysis of the effect of production planning and control processes on logistical objectives” leading to this paper is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—434659386
PY - 2023/3/4
Y1 - 2023/3/4
N2 - In PPC, there are many interactions and dependencies that are difficult for the practical user to keep track of. These insecurities often lead to a configuration of PPC, which is locally optimized but not optimally carried out in the overall context of a company's target system. With a specially developed description and modeling approach, the interactions between PPC tasks, procedures, and logistical objectives are shown systematically and transparently to support the holistic and target-oriented design of PPC in perspective. The interdependencies presented in this paper have been compiled by contributions of various authors and transformed into a unified descriptive logic. To provide a comprehensive understanding of the interactions and interdependencies within PPC configuration, three levels of detail have been defined: First, the logistical objectives have to be examined in isolation. In this process, the central interdependencies at the level of the logistical objectives must be identified and presented in causal diagrams. The created impact network of interdependencies then serves as a basis for investigating the impact and interaction of PPC tasks. For each of the tasks then, primary and secondary interdependencies must be identified and visualized transparently with the help of isolated causal diagrams. On the final level of detail, the object of investigation has to change from task-specific to procedure-specific interdependencies, presenting (specific) input and output variables and impacts. Within the scope of this paper, an overview of the identified levels is given. For this purpose, the focus is exemplary on in-house production planning and control and the PPC task of order release.
AB - In PPC, there are many interactions and dependencies that are difficult for the practical user to keep track of. These insecurities often lead to a configuration of PPC, which is locally optimized but not optimally carried out in the overall context of a company's target system. With a specially developed description and modeling approach, the interactions between PPC tasks, procedures, and logistical objectives are shown systematically and transparently to support the holistic and target-oriented design of PPC in perspective. The interdependencies presented in this paper have been compiled by contributions of various authors and transformed into a unified descriptive logic. To provide a comprehensive understanding of the interactions and interdependencies within PPC configuration, three levels of detail have been defined: First, the logistical objectives have to be examined in isolation. In this process, the central interdependencies at the level of the logistical objectives must be identified and presented in causal diagrams. The created impact network of interdependencies then serves as a basis for investigating the impact and interaction of PPC tasks. For each of the tasks then, primary and secondary interdependencies must be identified and visualized transparently with the help of isolated causal diagrams. On the final level of detail, the object of investigation has to change from task-specific to procedure-specific interdependencies, presenting (specific) input and output variables and impacts. Within the scope of this paper, an overview of the identified levels is given. For this purpose, the focus is exemplary on in-house production planning and control and the PPC task of order release.
KW - Modeling
KW - Objectives
KW - PPC
KW - Procedures
KW - Production configuration
KW - Production planning and control
UR - http://www.scopus.com/inward/record.url?scp=85166652043&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-15602-1_3
DO - 10.1007/978-3-031-15602-1_3
M3 - Contribution to book/anthology
SN - 9783031156014
SN - 978-3-031-15604-5
T3 - Lecture Notes in Production Engineering
SP - 31
EP - 44
BT - Smart, Sustainable Manufacturing in an Ever-Changing World
CY - Cham
ER -