Supporting the Decision of the Order Processing Strategy by Using Logistic Models: A Case Study

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

Standard

Supporting the Decision of the Order Processing Strategy by Using Logistic Models: A Case Study. / Maier, Janine Tatjana; Heuer, Tammo; Nyhuis, Peter et al.
Advances in Production Management Systems: The Path to Digital Transformation and Innovation of Production Management Systems; IFIP WG 5.7 International Conference, APMS 2020 Novi Sad, Serbia, August 30 – September 3, 2020 Proceedings, Part I. ed. / Bojan Lalic; Ugljesa Marjanovic; Vidosav Majstorovic; Gregor von Cieminski; David Romero. Vol. 1 Cham: Springer, 2020. p. 343-350 (IFIP Advances in Information and Communication Technology; Vol. 591).

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

Harvard

Maier, JT, Heuer, T, Nyhuis, P & Schmidt, M 2020, Supporting the Decision of the Order Processing Strategy by Using Logistic Models: A Case Study. in B Lalic, U Marjanovic, V Majstorovic, G von Cieminski & D Romero (eds), Advances in Production Management Systems: The Path to Digital Transformation and Innovation of Production Management Systems; IFIP WG 5.7 International Conference, APMS 2020 Novi Sad, Serbia, August 30 – September 3, 2020 Proceedings, Part I. vol. 1, IFIP Advances in Information and Communication Technology, vol. 591, Springer, Cham, pp. 343-350, International IFIP WG 5.7 Conference on Advances in Production Management Systems, Novi Sad, Serbia, 30.08.20. https://doi.org/10.1007/978-3-030-57993-7_39

APA

Maier, J. T., Heuer, T., Nyhuis, P., & Schmidt, M. (2020). Supporting the Decision of the Order Processing Strategy by Using Logistic Models: A Case Study. In B. Lalic, U. Marjanovic, V. Majstorovic, G. von Cieminski, & D. Romero (Eds.), Advances in Production Management Systems: The Path to Digital Transformation and Innovation of Production Management Systems; IFIP WG 5.7 International Conference, APMS 2020 Novi Sad, Serbia, August 30 – September 3, 2020 Proceedings, Part I (Vol. 1, pp. 343-350). (IFIP Advances in Information and Communication Technology; Vol. 591). Springer. https://doi.org/10.1007/978-3-030-57993-7_39

Vancouver

Maier JT, Heuer T, Nyhuis P, Schmidt M. Supporting the Decision of the Order Processing Strategy by Using Logistic Models: A Case Study. In Lalic B, Marjanovic U, Majstorovic V, von Cieminski G, Romero D, editors, Advances in Production Management Systems: The Path to Digital Transformation and Innovation of Production Management Systems; IFIP WG 5.7 International Conference, APMS 2020 Novi Sad, Serbia, August 30 – September 3, 2020 Proceedings, Part I. Vol. 1. Cham: Springer. 2020. p. 343-350. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-030-57993-7_39

Bibtex

@inbook{5dda229caefd4234a9073a0babde40c8,
title = "Supporting the Decision of the Order Processing Strategy by Using Logistic Models: A Case Study",
abstract = "The selection of a suitable order processing strategy from an economic and logistic point of view plays a fundamental role in the achievement of efficient and waste-free production processes. Many factors influence the order processing strategy and the choice of the order processing strategy affects many variables. The problem for companies that has not yet been solved is the holistic selection of the best possible order processing strategy for each product or product group and, if necessary, subordinate components.The authors present an approach to analyze the effects of the choice of the order processing strategy on the economic and logistic objectives. The description and modeling of the interdependencies between the order processing strategies and the influenced objectives refer to existing logistic models. A case study to evaluate the impact of different order processing strategies on costs shows the practicality of the proposed approach. The exemplary application of the presented approach showed a potential of an average reduction of 30% of the variable costs resulting from the change of the order processing strategy. The savings varied between 1% and 62% depending on the order quantity and frequency for the individual products.",
keywords = "Engineering, Order processing strategy, Interdependencies, Logistic models, Order processing strategy, Interdependencies, Logistic models",
author = "Maier, {Janine Tatjana} and Tammo Heuer and Peter Nyhuis and Matthias Schmidt",
year = "2020",
doi = "10.1007/978-3-030-57993-7_39",
language = "English",
isbn = "978-3-030-57992-0",
volume = "1",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer",
pages = "343--350",
editor = "Bojan Lalic and Ugljesa Marjanovic and Vidosav Majstorovic and {von Cieminski}, Gregor and David Romero",
booktitle = "Advances in Production Management Systems",
address = "Germany",
note = "International IFIP WG 5.7 Conference on Advances in Production Management Systems : The path to digital transformation and innovation of production management systems, APMS 2020 ; Conference date: 30-08-2020 Through 03-09-2020",

}

RIS

TY - CHAP

T1 - Supporting the Decision of the Order Processing Strategy by Using Logistic Models

T2 - International IFIP WG 5.7 Conference on Advances in Production Management Systems

AU - Maier, Janine Tatjana

AU - Heuer, Tammo

AU - Nyhuis, Peter

AU - Schmidt, Matthias

PY - 2020

Y1 - 2020

N2 - The selection of a suitable order processing strategy from an economic and logistic point of view plays a fundamental role in the achievement of efficient and waste-free production processes. Many factors influence the order processing strategy and the choice of the order processing strategy affects many variables. The problem for companies that has not yet been solved is the holistic selection of the best possible order processing strategy for each product or product group and, if necessary, subordinate components.The authors present an approach to analyze the effects of the choice of the order processing strategy on the economic and logistic objectives. The description and modeling of the interdependencies between the order processing strategies and the influenced objectives refer to existing logistic models. A case study to evaluate the impact of different order processing strategies on costs shows the practicality of the proposed approach. The exemplary application of the presented approach showed a potential of an average reduction of 30% of the variable costs resulting from the change of the order processing strategy. The savings varied between 1% and 62% depending on the order quantity and frequency for the individual products.

AB - The selection of a suitable order processing strategy from an economic and logistic point of view plays a fundamental role in the achievement of efficient and waste-free production processes. Many factors influence the order processing strategy and the choice of the order processing strategy affects many variables. The problem for companies that has not yet been solved is the holistic selection of the best possible order processing strategy for each product or product group and, if necessary, subordinate components.The authors present an approach to analyze the effects of the choice of the order processing strategy on the economic and logistic objectives. The description and modeling of the interdependencies between the order processing strategies and the influenced objectives refer to existing logistic models. A case study to evaluate the impact of different order processing strategies on costs shows the practicality of the proposed approach. The exemplary application of the presented approach showed a potential of an average reduction of 30% of the variable costs resulting from the change of the order processing strategy. The savings varied between 1% and 62% depending on the order quantity and frequency for the individual products.

KW - Engineering

KW - Order processing strategy

KW - Interdependencies

KW - Logistic models

KW - Order processing strategy

KW - Interdependencies

KW - Logistic models

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U2 - 10.1007/978-3-030-57993-7_39

DO - 10.1007/978-3-030-57993-7_39

M3 - Article in conference proceedings

SN - 978-3-030-57992-0

VL - 1

T3 - IFIP Advances in Information and Communication Technology

SP - 343

EP - 350

BT - Advances in Production Management Systems

A2 - Lalic, Bojan

A2 - Marjanovic, Ugljesa

A2 - Majstorovic, Vidosav

A2 - von Cieminski, Gregor

A2 - Romero, David

PB - Springer

CY - Cham

Y2 - 30 August 2020 through 3 September 2020

ER -