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 -