Supporting the Decision of the Order Processing Strategy by Using Logistic Models: A Case Study
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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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 Verlag, 2020. p. 343-350 (IFIP Advances in Information and Communication Technology; Vol. 591).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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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
UR - http://www.scopus.com/inward/record.url?scp=85090171451&partnerID=8YFLogxK
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 Verlag
CY - Cham
Y2 - 30 August 2020 through 3 September 2020
ER -