Linked Accomplishment Of Order Management And Production Planning And Control. An Integrated Model-based Approach

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

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Linked Accomplishment Of Order Management And Production Planning And Control. An Integrated Model-based Approach. / Hillnhagen, Simon; Mütze, Alexander; Nyhuis, Peter et al.
Conference on Production Systems and Logistics: International Conference, CPSL 2021, Digital Event hosted via publish-Ing; August 10-11, 202;1 Proceedings. Hrsg. / David Herberger; Marco Hübner. Offenburg: publish-Ing., 2021. S. 688 - 698 (Proceedings of the ... Conference on Production Systems and Logistics; Band 2).

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Hillnhagen, S, Mütze, A, Nyhuis, P & Schmidt, M 2021, Linked Accomplishment Of Order Management And Production Planning And Control. An Integrated Model-based Approach. in D Herberger & M Hübner (Hrsg.), Conference on Production Systems and Logistics: International Conference, CPSL 2021, Digital Event hosted via publish-Ing; August 10-11, 202;1 Proceedings. Proceedings of the ... Conference on Production Systems and Logistics, Bd. 2, publish-Ing., Offenburg, S. 688 - 698, 2nd Conference on Production Systems and Logistics - CPSL 2021 , 10.08.21. https://doi.org/10.15488/11297

APA

Hillnhagen, S., Mütze, A., Nyhuis, P., & Schmidt, M. (2021). Linked Accomplishment Of Order Management And Production Planning And Control. An Integrated Model-based Approach. In D. Herberger, & M. Hübner (Hrsg.), Conference on Production Systems and Logistics: International Conference, CPSL 2021, Digital Event hosted via publish-Ing; August 10-11, 202;1 Proceedings (S. 688 - 698). (Proceedings of the ... Conference on Production Systems and Logistics; Band 2). publish-Ing.. https://doi.org/10.15488/11297

Vancouver

Hillnhagen S, Mütze A, Nyhuis P, Schmidt M. Linked Accomplishment Of Order Management And Production Planning And Control. An Integrated Model-based Approach. in Herberger D, Hübner M, Hrsg., Conference on Production Systems and Logistics: International Conference, CPSL 2021, Digital Event hosted via publish-Ing; August 10-11, 202;1 Proceedings. Offenburg: publish-Ing. 2021. S. 688 - 698. (Proceedings of the ... Conference on Production Systems and Logistics). doi: 10.15488/11297

Bibtex

@inbook{b3c2168cb97e4a5c8015365e200cb0a0,
title = "Linked Accomplishment Of Order Management And Production Planning And Control. An Integrated Model-based Approach",
abstract = "Order management is a main PPC task in company internal supply chains. It provides the link between customers and the company's internal order processing processes. The boundary conditions defined hereby influence adjacent and subsequent main tasks in PPC. However, since usually conflicts between objectives, such as between utilisation of capacities and schedule reliability are caused in companies, the interaction between PPC tasks of order management and other main PPC tasks should be taken into account. Existing approaches often examine the effect of PPC tasks and procedures in isolation for the respective main task. Especially in the task of order management, the focus of procedures and models lies more on economic and less on production logistics aspects. Nevertheless, these must be taken into account to assess the resulting effects on production (e.g. load and due-date situation) and thus on the logistics performance towards the customer. To counteract this, the contribution presents a model-based approach, which considers the interactions between order management tasks and other PPC tasks. Furthermore, the determined interdependencies and links are used to derive the effects of order management on logistics objectives of production, and to identify how an integrated view can be used to raise production logistics potentials for improving a company{\textquoteright}s logistics performance. For this purpose, proven models such as the Hanoverian Supply Chain Model and the extended Aachen PPC Model are used.",
keywords = "Engineering, production planning and control, PPC, order management, configuration, model",
author = "Simon Hillnhagen and Alexander M{\"u}tze and Peter Nyhuis and Matthias Schmidt",
note = "Funding Information: 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. Publisher Copyright: {\textcopyright} Institute for Production and Logistics Research GbR Herberger & H{\"u}bner.; 2nd Conference on Production Systems and Logistics - CPSL 2021 , CPSL ; Conference date: 10-08-2021 Through 11-08-2021",
year = "2021",
doi = "10.15488/11297",
language = "English",
series = "Proceedings of the ... Conference on Production Systems and Logistics",
publisher = "publish-Ing.",
pages = "688 -- 698",
editor = "David Herberger and Marco H{\"u}bner",
booktitle = "Conference on Production Systems and Logistics",
address = "Germany",

}

RIS

TY - CHAP

T1 - Linked Accomplishment Of Order Management And Production Planning And Control. An Integrated Model-based Approach

AU - Hillnhagen, Simon

AU - Mütze, Alexander

AU - Nyhuis, Peter

AU - Schmidt, Matthias

N1 - Conference code: 2

PY - 2021

Y1 - 2021

N2 - Order management is a main PPC task in company internal supply chains. It provides the link between customers and the company's internal order processing processes. The boundary conditions defined hereby influence adjacent and subsequent main tasks in PPC. However, since usually conflicts between objectives, such as between utilisation of capacities and schedule reliability are caused in companies, the interaction between PPC tasks of order management and other main PPC tasks should be taken into account. Existing approaches often examine the effect of PPC tasks and procedures in isolation for the respective main task. Especially in the task of order management, the focus of procedures and models lies more on economic and less on production logistics aspects. Nevertheless, these must be taken into account to assess the resulting effects on production (e.g. load and due-date situation) and thus on the logistics performance towards the customer. To counteract this, the contribution presents a model-based approach, which considers the interactions between order management tasks and other PPC tasks. Furthermore, the determined interdependencies and links are used to derive the effects of order management on logistics objectives of production, and to identify how an integrated view can be used to raise production logistics potentials for improving a company’s logistics performance. For this purpose, proven models such as the Hanoverian Supply Chain Model and the extended Aachen PPC Model are used.

AB - Order management is a main PPC task in company internal supply chains. It provides the link between customers and the company's internal order processing processes. The boundary conditions defined hereby influence adjacent and subsequent main tasks in PPC. However, since usually conflicts between objectives, such as between utilisation of capacities and schedule reliability are caused in companies, the interaction between PPC tasks of order management and other main PPC tasks should be taken into account. Existing approaches often examine the effect of PPC tasks and procedures in isolation for the respective main task. Especially in the task of order management, the focus of procedures and models lies more on economic and less on production logistics aspects. Nevertheless, these must be taken into account to assess the resulting effects on production (e.g. load and due-date situation) and thus on the logistics performance towards the customer. To counteract this, the contribution presents a model-based approach, which considers the interactions between order management tasks and other PPC tasks. Furthermore, the determined interdependencies and links are used to derive the effects of order management on logistics objectives of production, and to identify how an integrated view can be used to raise production logistics potentials for improving a company’s logistics performance. For this purpose, proven models such as the Hanoverian Supply Chain Model and the extended Aachen PPC Model are used.

KW - Engineering

KW - production planning and control

KW - PPC

KW - order management

KW - configuration

KW - model

UR - https://www.repo.uni-hannover.de/handle/123456789/11384

UR - https://doi.org/10.15488/11229

UR - http://www.scopus.com/inward/record.url?scp=85164033067&partnerID=8YFLogxK

U2 - 10.15488/11297

DO - 10.15488/11297

M3 - Article in conference proceedings

T3 - Proceedings of the ... Conference on Production Systems and Logistics

SP - 688

EP - 698

BT - Conference on Production Systems and Logistics

A2 - Herberger, David

A2 - Hübner, Marco

PB - publish-Ing.

CY - Offenburg

T2 - 2nd Conference on Production Systems and Logistics - CPSL 2021

Y2 - 10 August 2021 through 11 August 2021

ER -

DOI

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