Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Advances in Production Management Systems |
| Untertitel | The Path to Digital Transformation and Innovation of Production Management Systems - IFIP WG 5.7 International Conference, APMS 2020, Proceedings |
| Herausgeber/-innen | Bojan Lalic, Ugljesa Marjanovic, Vidosav Majstorovic, Gregor von Cieminski, David Romero |
| Seiten | 343-350 |
| Seitenumfang | 8 |
| Publikationsstatus | Veröffentlicht - 2020 |
| Veranstaltung | IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2020 - Novi Sad, Serbien Dauer: 30 Aug. 2020 → 3 Sept. 2020 |
Publikationsreihe
| Name | IFIP Advances in Information and Communication Technology |
|---|---|
| Band | 591 IFIP |
| ISSN (Print) | 1868-4238 |
| ISSN (elektronisch) | 1868-422X |
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.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Information systems
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Entscheidungswissenschaften (insg.)
- Informationssysteme und -management
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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, Proceedings. Hrsg. / Bojan Lalic; Ugljesa Marjanovic; Vidosav Majstorovic; Gregor von Cieminski; David Romero. 2020. S. 343-350 (IFIP Advances in Information and Communication Technology; Band 591 IFIP).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Supporting the Decision of the Order Processing Strategy by Using Logistic Models
T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2020
AU - Maier, Janine Tatjana
AU - Heuer, Tammo
AU - Nyhuis, Peter
AU - Schmidt, Matthias
N1 - Funding Information: The research project was carried out in the framework of the industrial collective research programme (IGF no. 20906 N). It was supported by the Federal Ministry for Economic Affairs and Energy (BMWi) through the AiF (German Federation of Industrial Research Associations eV) and the BVL (Bundesvereinigung Logistik eV) based on a decision taken by the German Bundestag.
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 - Interdependencies
KW - Logistic models
KW - Order processing strategy
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 - Conference contribution
AN - SCOPUS:85090171451
SN - 9783030579920
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
Y2 - 30 August 2020 through 3 September 2020
ER -