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A New Framework for Production Planning and Control to Support the Positioning in Fields of Tension Created by Opposing Logistic Objectives

Research output: Journal contributions › Journal articles › Research › peer-review

Standard

A New Framework for Production Planning and Control to Support the Positioning in Fields of Tension Created by Opposing Logistic Objectives. / Schmidt, Matthias; Schäfer, Peter.
In: Modern Economy, Vol. 8, No. 7, 07.2017, p. 910-920.

Research output: Journal contributions › Journal articles › Research › peer-review

Harvard

Schmidt, M & Schäfer, P 2017, 'A New Framework for Production Planning and Control to Support the Positioning in Fields of Tension Created by Opposing Logistic Objectives', Modern Economy, vol. 8, no. 7, pp. 910-920. https://doi.org/10.4236/me.2017.87064

APA

Schmidt, M., & Schäfer, P. (2017). A New Framework for Production Planning and Control to Support the Positioning in Fields of Tension Created by Opposing Logistic Objectives. Modern Economy, 8(7), 910-920. https://doi.org/10.4236/me.2017.87064

Vancouver

Schmidt M, Schäfer P. A New Framework for Production Planning and Control to Support the Positioning in Fields of Tension Created by Opposing Logistic Objectives. Modern Economy. 2017 Jul;8(7):910-920. doi: 10.4236/me.2017.87064

Bibtex

@article{659fcddeb0a949679156cf8b18cf367d,
title = "A New Framework for Production Planning and Control to Support the Positioning in Fields of Tension Created by Opposing Logistic Objectives",
abstract = "This paper presents an approach for modelling the connection between the tasks of production planning and control (PPC) and a supply chain{\textquoteright}s logistic objectives. Therefore a new production planning and control framework is developed. First of all, the tasks of production planning and control are described universally valid. A representation of a company{\textquoteright}s internal supply chain with five core processes complements the framework. For each core process, a system of logistic objectives is set up. The interdependencies between the variables presented in the systems are depicted. Existing fields of tensions between opposing logistic objectives are emphasized. For calculating values for PPC parameters and beyond that for positioning a production within the indicated fields of tension, existing quantitative logistic models are located in the framework. To clarify the overall approach the model-based calculation of lot sizes for production is presented exemplarily.",
keywords = "Engineering, Production Planning and Control, Supply Chain, Logistic Objectives, Modelling",
author = "Matthias Schmidt and Peter Sch{\"a}fer",
year = "2017",
month = jul,
doi = "10.4236/me.2017.87064",
language = "English",
volume = "8",
pages = "910--920",
journal = "Modern Economy",
issn = "2152-7245",
publisher = "Scientific Research Publishing Inc",
number = "7",

}

RIS

TY - JOUR

T1 - A New Framework for Production Planning and Control to Support the Positioning in Fields of Tension Created by Opposing Logistic Objectives

AU - Schmidt, Matthias

AU - Schäfer, Peter

PY - 2017/7

Y1 - 2017/7

N2 - This paper presents an approach for modelling the connection between the tasks of production planning and control (PPC) and a supply chain’s logistic objectives. Therefore a new production planning and control framework is developed. First of all, the tasks of production planning and control are described universally valid. A representation of a company’s internal supply chain with five core processes complements the framework. For each core process, a system of logistic objectives is set up. The interdependencies between the variables presented in the systems are depicted. Existing fields of tensions between opposing logistic objectives are emphasized. For calculating values for PPC parameters and beyond that for positioning a production within the indicated fields of tension, existing quantitative logistic models are located in the framework. To clarify the overall approach the model-based calculation of lot sizes for production is presented exemplarily.

AB - This paper presents an approach for modelling the connection between the tasks of production planning and control (PPC) and a supply chain’s logistic objectives. Therefore a new production planning and control framework is developed. First of all, the tasks of production planning and control are described universally valid. A representation of a company’s internal supply chain with five core processes complements the framework. For each core process, a system of logistic objectives is set up. The interdependencies between the variables presented in the systems are depicted. Existing fields of tensions between opposing logistic objectives are emphasized. For calculating values for PPC parameters and beyond that for positioning a production within the indicated fields of tension, existing quantitative logistic models are located in the framework. To clarify the overall approach the model-based calculation of lot sizes for production is presented exemplarily.

KW - Engineering

KW - Production Planning and Control

KW - Supply Chain

KW - Logistic Objectives

KW - Modelling

UR - https://www.mendeley.com/catalogue/66e2a12a-d45d-30fa-97fa-47e2937f0ef3/

U2 - 10.4236/me.2017.87064

DO - 10.4236/me.2017.87064

M3 - Journal articles

VL - 8

SP - 910

EP - 920

JO - Modern Economy

JF - Modern Economy

SN - 2152-7245

IS - 7

ER -

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Implementierung von Produktrückführungsprozessen in bestehende Produktionsabläufe: Herausforderungen und Anforderungen

Sandner, S., Nübel, M., Schulz, J., Metternich, J. & Schmidt, M., 21.06.2025, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 120, 6, p. 397-403 7 p.

Research output: Journal contributions › Journal articles › Research › peer-review

Machine Learning For Determining Planned Order Lead Times In Job Shop Production: A Systematic Review Of Input Factors And Applied Methods

Wolter, F., Rokoss, A. & Schmidt, M., 2025, Conference on Production Systems and Logistics: University of San Ignacio de Loyola Lima, Peru, 18th – 21th March 2025, Proceedings. Herberger, D. & Hübner, M. (eds.). Offenburg: publish-Ing., p. 374-384 11 p. 32. (Proceedings of the ... Conference on Production Systems and Logistics; no. 7).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Understanding Resulting Interdependencies Within Production Planning And Control In Hybrid Manufacturing/Remanufacturing Systems

Schulz, J., Hofmann, H., Rokoss, A. & Schmidt, M., 05.2025, Proceedings of the Conference on Production Systems and Logistics: CPSL 2025: 18th – 21th March 2025, University of San Ignacio de Loyola Lima, Peru. Herberger, D. & Hübner, M. (eds.). Offenburg: publish-Ing., p. 114 - 126 13 p. (Proceedings of the ... Conference on Production Systems and Logistics; vol. 7).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Analysis of the relevance of models, influencing factors and the point in time of the forecast on the prediction quality in order-related delivery time determination using machine learning

Rokoss, A., Popkes, L. & Schmidt, M., 2024, Proceedings of the CPSL 2024. Herberger, D. & Hübner, M. (eds.). Hannover: publish-Ing., p. 415-431 17 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 2024).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Case study on delivery time determination using a machine learning approach in small batch production companies

Rokoss, A., Syberg, M., Tomidei, L., Hülsing, C., Deuse, J. & Schmidt, M., 12.2024, In: Journal of Intelligent Manufacturing. 35, 8, p. 3937-3958 22 p.

Research output: Journal contributions › Journal articles › Research › peer-review

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