Modelling Interdependencies Within Production Planning and Control: An Application-Motivated Approach
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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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 Gyeongju, South Korea, September 25–29, 2022 Proceedings, Part I. ed. / Duck Young Kim; Gregor von Cieminski; David Romero. Cham: Springer Schweiz, 2022. p. 518-525 (IFIP Advances in Information and Communication Technology; Vol. 663).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - Modelling Interdependencies Within Production Planning and Control
T2 - Conference - International Conference on Advances in Production Management Systems, APMS 2022: Smart Manufacturing and Logistics Systems
AU - Mütze, Alexander
AU - Hillnhagen, Simon
AU - Schmidt, Matthias
AU - Nyhuis, Peter
N1 - Conference code: 12
PY - 2022
Y1 - 2022
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
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85140477750&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/a25e3b79-3847-3a63-a96e-9888eb0f47e7/
U2 - 10.1007/978-3-031-16407-1_61
DO - 10.1007/978-3-031-16407-1_61
M3 - Article in conference proceedings
AN - SCOPUS:85140477750
SN - 978-3-031-16406-4
T3 - IFIP Advances in Information and Communication Technology
SP - 518
EP - 525
BT - Advances in Production Management Systems
A2 - Kim, Duck Young
A2 - von Cieminski, Gregor
A2 - Romero, David
PB - Springer Schweiz
CY - Cham
Y2 - 25 September 2022 through 29 September 2022
ER -