Fulfillment of Heterogeneous Customer Delivery Times through Decoupling the Production and Accelerating Production Orders
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Conference on Production Systems and Logistics: International Conference, CPSL 2022, hosted at the University of British Columbia in Vancouver, Canada, 17th May 2022 – 20th May 2022, Proceedings. ed. / David Herberger; Marco Hübner. Hannover: publish-Ing., 2022. p. 564-573 (Proceedings of the Conference on Production Systems and Logistics; Vol. 3).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
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. Publisher Copyright: © 2022, Publish-Ing in cooperation with TIB - Leibniz Information Centre for Science and Technology University Library. All rights reserved.
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 - Engineering
KW - Delivery time requirements
KW - fast-track orders
KW - rush orders
KW - Customer order decoupling point
KW - Order processing strategy
UR - http://www.scopus.com/inward/record.url?scp=85164384377&partnerID=8YFLogxK
U2 - 10.15488/12188
DO - 10.15488/12188
M3 - Article in conference proceedings
T3 - Proceedings of the Conference on Production Systems and Logistics
SP - 564
EP - 573
BT - Conference on Production Systems and Logistics
A2 - Herberger, David
A2 - Hübner, Marco
PB - publish-Ing.
CY - Hannover
T2 - 3rd Conference on Production Systems and Logistics - CPSL 2022
Y2 - 17 May 2022 through 20 May 2022
ER -