Modelling Interdependencies Within Production Planning and Control: An Application-Motivated Approach

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

Modelling Interdependencies Within Production Planning and Control: An Application-Motivated Approach. / Mütze, Alexander; Hillnhagen, Simon; Schmidt, Matthias et al.
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/worksArticle in conference proceedingsResearchpeer-review

Harvard

Mütze, A, Hillnhagen, S, Schmidt, M & Nyhuis, P 2022, Modelling Interdependencies Within Production Planning and Control: An Application-Motivated Approach. in DY Kim, G von Cieminski & D Romero (eds), 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. IFIP Advances in Information and Communication Technology, vol. 663, Springer Schweiz, Cham, pp. 518-525, Conference - International Conference on Advances in Production Management Systems, APMS 2022: Smart Manufacturing and Logistics Systems, Gyeongju, Korea, Republic of, 25.09.22. https://doi.org/10.1007/978-3-031-16407-1_61

APA

Mütze, A., Hillnhagen, S., Schmidt, M., & Nyhuis, P. (2022). Modelling Interdependencies Within Production Planning and Control: An Application-Motivated Approach. In D. Y. Kim, G. von Cieminski, & D. Romero (Eds.), 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 (pp. 518-525). (IFIP Advances in Information and Communication Technology; Vol. 663). Springer Schweiz. https://doi.org/10.1007/978-3-031-16407-1_61

Vancouver

Mütze A, Hillnhagen S, Schmidt M, Nyhuis P. Modelling Interdependencies Within Production Planning and Control: An Application-Motivated Approach. In Kim DY, von Cieminski G, Romero D, editors, 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. Cham: Springer Schweiz. 2022. p. 518-525. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-031-16407-1_61

Bibtex

@inbook{7da1f273454a4dd581c86011fc615465,
title = "Modelling Interdependencies Within Production Planning and Control: An Application-Motivated Approach",
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{\textquoteright}s objectives. Thus this contribution can be assigned as a conceptual investigation.",
keywords = "Modelling, PPC, Production management, Production organisation, Production planning and control, Engineering",
author = "Alexander M{\"u}tze and Simon Hillnhagen and Matthias Schmidt and Peter Nyhuis",
note = "Publisher Copyright: {\textcopyright} 2022, IFIP International Federation for Information Processing.; Conference - International Conference on Advances in Production Management Systems, APMS 2022: Smart Manufacturing and Logistics Systems : Turning Ideas into Action - “Digital, Autonomous, Sustainable, and Interoperable Systems” ; Conference date: 25-09-2022 Through 29-09-2022",
year = "2022",
doi = "10.1007/978-3-031-16407-1_61",
language = "English",
isbn = "978-3-031-16406-4 ",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer Schweiz",
pages = "518--525",
editor = "Kim, {Duck Young} and {von Cieminski}, Gregor and David Romero",
booktitle = "Advances in Production Management Systems",
address = "Switzerland",
url = "https://www.apms-conference.org/wp-content/uploads/2021/12/APMS-2022-CFP1_1.pdf",

}

RIS

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 -