Multi-level supply chain optimization with uncertain time delay by time-stamping predictive control
Joint Authors
Source
Journal of Automation and Systems Engineering
Issue
Vol. 6, Issue 1 (31 Mar. 2012), pp.1-10, 10 p.
Publisher
Publication Date
2012-03-31
Country of Publication
Algeria
No. of Pages
10
Main Subjects
Topics
Abstract EN
This paper solves inventory fluctuation caused by uncertain time delay in a multi-level supply chain network, including lead time for manufacturing and lag time for ordering.
Time stamping predictive control is proposed as an optimizer to handle random delay.
In most researches, order postponing time is assumed as zero although it influences supply chain operation obviously.
Only lead time is mostly considered during the optimization, so the effect of uncertain time delay is analyzed here.
Simulations both on simple supply chain and weighted supply chain show robustness and availability of the method under stochastic and fastidious customer demands.
Computational validation reveals that our algorithm plays better performance on bullwhip effect than standard model predictive control.
American Psychological Association (APA)
Li, Jie& Peng, Mian. 2012. Multi-level supply chain optimization with uncertain time delay by time-stamping predictive control. Journal of Automation and Systems Engineering،Vol. 6, no. 1, pp.1-10.
https://search.emarefa.net/detail/BIM-291021
Modern Language Association (MLA)
Li, Jie& Peng, Mian. Multi-level supply chain optimization with uncertain time delay by time-stamping predictive control. Journal of Automation and Systems Engineering Vol. 6, no. 1 (Mar. 2012), pp.1-10.
https://search.emarefa.net/detail/BIM-291021
American Medical Association (AMA)
Li, Jie& Peng, Mian. Multi-level supply chain optimization with uncertain time delay by time-stamping predictive control. Journal of Automation and Systems Engineering. 2012. Vol. 6, no. 1, pp.1-10.
https://search.emarefa.net/detail/BIM-291021
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 9-10
Record ID
BIM-291021