Details
| Original language | English |
|---|---|
| Title of host publication | Advances in Production Management Systems. Smart Manufacturing and Logistics Systems |
| Subtitle of host publication | Turning Ideas into Action - IFIP WG 5.7 International Conference, APMS 2022, Proceedings |
| Editors | Duck Young Kim, Gregor von Cieminski, David Romero |
| Place of Publication | Cham |
| Pages | 518-525 |
| Number of pages | 8 |
| ISBN (electronic) | 978-3-031-16407-1 |
| Publication status | Published - 19 Sept 2022 |
Publication series
| Name | IFIP Advances in Information and Communication Technology |
|---|---|
| Volume | 663 IFIP |
| ISSN (Print) | 1868-4238 |
| ISSN (electronic) | 1868-422X |
Abstract
In literature on the investigation of cause-effect relationships within production planning and control (PPC), many models and approaches can be found. These range from the didactic description of cause-effect relationships to generally applicable models for describing the effects and impacts of a procedure selection or parameterisation for a PPC task to be fulfilled, right up to explorative simulation studies. Thus, research in the field of production planning and control can be roughly divided into the research areas of conceptual, analytical, empirical and simulation-based investigations. While each of these approaches makes valuable contributions to prevailing theory, the purpose of this paper is to discuss an application-motivated approach making the complex network of interrelations within PPC easier to penetrate. Because, in particular from the point of view of the practical user, it is of crucial importance to gain a holistic perspective on the relationships and interdependencies within PPC in order to be able to configure it - as well as the entire production system - in the best possible way and in line with the company’s objectives. Thus this contribution can be assigned as a conceptual investigation.
Keywords
- Modelling, PPC, Production management, Production organisation, Production planning and control
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Computer Science(all)
- Computer Networks and Communications
- Decision Sciences(all)
- Information Systems and Management
Cite this
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Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action - IFIP WG 5.7 International Conference, APMS 2022, Proceedings. ed. / Duck Young Kim; Gregor von Cieminski; David Romero. Cham, 2022. p. 518-525 (IFIP Advances in Information and Communication Technology; Vol. 663 IFIP).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Modelling Interdependencies Within Production Planning and Control
T2 - An Application-Motivated Approach
AU - Mütze, Alexander
AU - Hillnhagen, Simon
AU - Schmidt, Matthias
AU - Nyhuis, Peter
PY - 2022/9/19
Y1 - 2022/9/19
N2 - In literature on the investigation of cause-effect relationships within production planning and control (PPC), many models and approaches can be found. These range from the didactic description of cause-effect relationships to generally applicable models for describing the effects and impacts of a procedure selection or parameterisation for a PPC task to be fulfilled, right up to explorative simulation studies. Thus, research in the field of production planning and control can be roughly divided into the research areas of conceptual, analytical, empirical and simulation-based investigations. While each of these approaches makes valuable contributions to prevailing theory, the purpose of this paper is to discuss an application-motivated approach making the complex network of interrelations within PPC easier to penetrate. Because, in particular from the point of view of the practical user, it is of crucial importance to gain a holistic perspective on the relationships and interdependencies within PPC in order to be able to configure it - as well as the entire production system - in the best possible way and in line with the company’s objectives. Thus this contribution can be assigned as a conceptual investigation.
AB - In literature on the investigation of cause-effect relationships within production planning and control (PPC), many models and approaches can be found. These range from the didactic description of cause-effect relationships to generally applicable models for describing the effects and impacts of a procedure selection or parameterisation for a PPC task to be fulfilled, right up to explorative simulation studies. Thus, research in the field of production planning and control can be roughly divided into the research areas of conceptual, analytical, empirical and simulation-based investigations. While each of these approaches makes valuable contributions to prevailing theory, the purpose of this paper is to discuss an application-motivated approach making the complex network of interrelations within PPC easier to penetrate. Because, in particular from the point of view of the practical user, it is of crucial importance to gain a holistic perspective on the relationships and interdependencies within PPC in order to be able to configure it - as well as the entire production system - in the best possible way and in line with the company’s objectives. Thus this contribution can be assigned as a conceptual investigation.
KW - Modelling
KW - PPC
KW - Production management
KW - Production organisation
KW - Production planning and control
UR - http://www.scopus.com/inward/record.url?scp=85140477750&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-16407-1_61
DO - 10.1007/978-3-031-16407-1_61
M3 - Conference contribution
SN - 978-3-031-16406-4
T3 - IFIP Advances in Information and Communication Technology
SP - 518
EP - 525
BT - Advances in Production Management Systems. Smart Manufacturing and Logistics Systems
A2 - Kim, Duck Young
A2 - von Cieminski, Gregor
A2 - Romero, David
CY - Cham
ER -