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Analyzing the Impact of Different Order Policies on the Supply Chain Performance

  • Influenced by the high dynamic of the markets and the steadily increasing demand for short delivery times the importance of supply chain optimization is growing. In particular, the order process plays a central role in achieving short delivery times and constantly needs to evaluate the trade-off between high inventory and the risk of stock-outs. However, analyzing different order strategies and the influence of various production parameters is difficult to achieve in industrial practice. Therefore, simulations of supply chains are used in order to improve processes in the whole value chain. The objective of this research is to evaluate two different order strategies (t, q, t, S) in a four-stage supply chain. In order to measure the performance of the supply chain the quantity of the backlog will be considered. A Design of Experiments approach is supposed to enhance the significance of the simulation results.

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Metadaten
Author:Volker StichORCiDGND, Daniel Pause, Matthias BlumGND
DOI:https://doi.org/10.1007/978-3-319-66923-6_63
Parent Title (English):Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing
Publisher:Springer
Place of publication:Hamburg [u. a.]
Editor:Hermann Lödding, Ralph Riedel, Klaus-Dieter Thoben, Gregor von Cieminski, Dimitris Kiritsis
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2017/09/06
Date of first Publication:2017/09/06
Release Date:2020/11/03
Tag:Design of Experiments; inventory management; order; supply chain; system dynamics
First Page:536
Last Page:544
FIR-Number:SV6847
Name of the conference:Advances in Production Management Systems (APMS)
place of the conference:Hamburg
Date of the conference:03.09.-07.09.2017
Institute / Department:FIR e. V. an der RWTH Aachen
Produktionsmanagement
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften