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

Abstract : 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.
Document type :
Conference papers
Liste complète des métadonnées

Cited literature [7 references]  Display  Hide  Download

https://hal.inria.fr/hal-01666163
Contributor : Hal Ifip <>
Submitted on : Monday, December 18, 2017 - 10:38:14 AM
Last modification on : Monday, December 18, 2017 - 11:02:28 AM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2020-01-01

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Volker Stich, Daniel Pause, Matthias Blum. Analyzing the Impact of Different Order Policies on the Supply Chain Performance. Hermann Lödding; Ralph Riedel; Klaus-Dieter Thoben; Gregor von Cieminski; Dimitris Kiritsis. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2017, Hamburg, Germany. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-513 (Part I), pp.536-544, 2017, Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing 〈10.1007/978-3-319-66923-6_63〉. 〈hal-01666163〉

Share

Metrics

Record views

134