Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 676-686 |
Seitenumfang | 11 |
Fachzeitschrift | Proceedings of the Conference on Production Systems and Logistics |
Publikationsstatus | Veröffentlicht - 2023 |
Veranstaltung | 4th Conference on Production Systems and Logistics, CPSL 2023 - Santiago de Querétaro, Kanada Dauer: 28 Feb. 2023 → 2 März 2023 |
Abstract
At ever shorter intervals, manufacturing and processing companies of all industries are confronted with external or internal disruptions and crises that need to be managed. Consequently, a corporate focus on robust supply chains and processes is essential. At the same time, crises and their impact on supply chains cannot be predicted. To be able to act anticipatively, it is necessary to link product and production system design to take suitable measures to safeguard production at an early stage. In this context, a monetary conflict of objectives arises concerning when a company should position itself robustly and when it is sufficient to react flexibly to disruptions. The production planning and control (PPC) task inventory management is an essential lever for realizing robust order fulfilment processes. Inventory management aims to ensure that production and assembly within the company are supplied in the right quantities and without lateness. In particular, companies that operate according to the engineer-to-order strategy (ETO) face specific challenges in dimensioning stocks for materials or components-for example, due to the low level of standardization or lack of supplier diversity. This paper presents an approach for anticipatory inventory management using product portfolio characteristics. A new modeling approach for dimensioning safety stocks under the increasing influence of crises is also developed and integrated into the process.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
- Ingenieurwesen (insg.)
- Maschinenbau
- Betriebswirtschaft, Management und Rechnungswesen (insg.)
- Technologie- und Innovationsmanagement
- Betriebswirtschaft, Management und Rechnungswesen (insg.)
- Strategie und Management
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in: Proceedings of the Conference on Production Systems and Logistics, 2023, S. 676-686.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Anticipatory Inventory Management For Realizing Robust Production Processes In Engineer-To-Order Manufacturing
T2 - 4th Conference on Production Systems and Logistics, CPSL 2023
AU - Wenzel, Alexander
AU - Hingst, Lennart
AU - Nyhuis, Peter
N1 - Funding Information: This research project is funded by dtec.bw – Digitalization and Technology Research Center of the Bundeswehr, which we gratefully acknowledge – iMOD.
PY - 2023
Y1 - 2023
N2 - At ever shorter intervals, manufacturing and processing companies of all industries are confronted with external or internal disruptions and crises that need to be managed. Consequently, a corporate focus on robust supply chains and processes is essential. At the same time, crises and their impact on supply chains cannot be predicted. To be able to act anticipatively, it is necessary to link product and production system design to take suitable measures to safeguard production at an early stage. In this context, a monetary conflict of objectives arises concerning when a company should position itself robustly and when it is sufficient to react flexibly to disruptions. The production planning and control (PPC) task inventory management is an essential lever for realizing robust order fulfilment processes. Inventory management aims to ensure that production and assembly within the company are supplied in the right quantities and without lateness. In particular, companies that operate according to the engineer-to-order strategy (ETO) face specific challenges in dimensioning stocks for materials or components-for example, due to the low level of standardization or lack of supplier diversity. This paper presents an approach for anticipatory inventory management using product portfolio characteristics. A new modeling approach for dimensioning safety stocks under the increasing influence of crises is also developed and integrated into the process.
AB - At ever shorter intervals, manufacturing and processing companies of all industries are confronted with external or internal disruptions and crises that need to be managed. Consequently, a corporate focus on robust supply chains and processes is essential. At the same time, crises and their impact on supply chains cannot be predicted. To be able to act anticipatively, it is necessary to link product and production system design to take suitable measures to safeguard production at an early stage. In this context, a monetary conflict of objectives arises concerning when a company should position itself robustly and when it is sufficient to react flexibly to disruptions. The production planning and control (PPC) task inventory management is an essential lever for realizing robust order fulfilment processes. Inventory management aims to ensure that production and assembly within the company are supplied in the right quantities and without lateness. In particular, companies that operate according to the engineer-to-order strategy (ETO) face specific challenges in dimensioning stocks for materials or components-for example, due to the low level of standardization or lack of supplier diversity. This paper presents an approach for anticipatory inventory management using product portfolio characteristics. A new modeling approach for dimensioning safety stocks under the increasing influence of crises is also developed and integrated into the process.
KW - ETO
KW - Inventory Management
KW - Production planning and control (PPC)
KW - Robustness
KW - Safety stock
UR - http://www.scopus.com/inward/record.url?scp=85164409986&partnerID=8YFLogxK
U2 - 10.15488/13487
DO - 10.15488/13487
M3 - Conference article
AN - SCOPUS:85164409986
SP - 676
EP - 686
JO - Proceedings of the Conference on Production Systems and Logistics
JF - Proceedings of the Conference on Production Systems and Logistics
Y2 - 28 February 2023 through 2 March 2023
ER -