Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Conference on Production Systems and Logistics: |
| Pages | 564-573 |
| Number of pages | 10 |
| Publication status | Published - 2022 |
| Event | 3rd Conference on Production Systems and Logistics, CPSL 2022 - University of British Columbia, Vancouver, Canada Duration: 17 May 2022 → 20 May 2022 |
Abstract
Manufacturing companies are facing increasing customer requirements regarding delivery times and delivery reliability. In this context, customers have different desired delivery times. The fulfillment of heterogeneous customer delivery times represents a major challenge in the competition for customers. If companies succeed in reliably meeting their customers' desired delivery times, this results in an enormous competitive advantage. Instruments for achieving specific delivery times include especially the use of fast-track orders and shifting the customer order decoupling point. When these instruments are used, numerous interdependencies must be considered. Shifting the customer order decoupling point downstream toward a Make-to-Stock production results in higher stock levels. The use of fast-track orders induces longer throughput times for other orders and higher control effort. In this paper, taking these trade-offs into account, an approach is developed that allows delivery time requirements to be met through a systematic determination of the customer order decoupling point and a share of fast-track orders. For this purpose, interdependencies between both instruments and logistic objectives are identified and investigated using logistical models to meet the delivery time requirements at lower logistical costs.
Keywords
- Customer order decoupling point, Delivery time requirements, Fast-track orders, Order processing strategy, Rush orders
ASJC Scopus subject areas
- Engineering(all)
- Industrial and Manufacturing Engineering
- Engineering(all)
- Mechanical Engineering
- Business, Management and Accounting(all)
- Management of Technology and Innovation
- Business, Management and Accounting(all)
- Strategy and Management
Sustainable Development Goals
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Proceedings of the Conference on Production Systems and Logistics:. 2022. p. 564-573.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Fulfillment of Heterogeneous Customer Delivery Times through Decoupling the Production and Accelerating Production Orders
AU - Heuer, Tammo
AU - Maier, Janine Tatjana
AU - Schmidt, Matthias
AU - Nyhuis, Peter
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 Climate Action (BMWK) 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 - 2022
Y1 - 2022
N2 - Manufacturing companies are facing increasing customer requirements regarding delivery times and delivery reliability. In this context, customers have different desired delivery times. The fulfillment of heterogeneous customer delivery times represents a major challenge in the competition for customers. If companies succeed in reliably meeting their customers' desired delivery times, this results in an enormous competitive advantage. Instruments for achieving specific delivery times include especially the use of fast-track orders and shifting the customer order decoupling point. When these instruments are used, numerous interdependencies must be considered. Shifting the customer order decoupling point downstream toward a Make-to-Stock production results in higher stock levels. The use of fast-track orders induces longer throughput times for other orders and higher control effort. In this paper, taking these trade-offs into account, an approach is developed that allows delivery time requirements to be met through a systematic determination of the customer order decoupling point and a share of fast-track orders. For this purpose, interdependencies between both instruments and logistic objectives are identified and investigated using logistical models to meet the delivery time requirements at lower logistical costs.
AB - Manufacturing companies are facing increasing customer requirements regarding delivery times and delivery reliability. In this context, customers have different desired delivery times. The fulfillment of heterogeneous customer delivery times represents a major challenge in the competition for customers. If companies succeed in reliably meeting their customers' desired delivery times, this results in an enormous competitive advantage. Instruments for achieving specific delivery times include especially the use of fast-track orders and shifting the customer order decoupling point. When these instruments are used, numerous interdependencies must be considered. Shifting the customer order decoupling point downstream toward a Make-to-Stock production results in higher stock levels. The use of fast-track orders induces longer throughput times for other orders and higher control effort. In this paper, taking these trade-offs into account, an approach is developed that allows delivery time requirements to be met through a systematic determination of the customer order decoupling point and a share of fast-track orders. For this purpose, interdependencies between both instruments and logistic objectives are identified and investigated using logistical models to meet the delivery time requirements at lower logistical costs.
KW - Customer order decoupling point
KW - Delivery time requirements
KW - Fast-track orders
KW - Order processing strategy
KW - Rush orders
UR - http://www.scopus.com/inward/record.url?scp=85164384377&partnerID=8YFLogxK
U2 - 10.15488/12188
DO - 10.15488/12188
M3 - Conference contribution
AN - SCOPUS:85164384377
SP - 564
EP - 573
BT - Proceedings of the Conference on Production Systems and Logistics:
T2 - 3rd Conference on Production Systems and Logistics, CPSL 2022
Y2 - 17 May 2022 through 20 May 2022
ER -