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 -