Multi-level supply chain optimization with uncertain time delay by time-stamping predictive control

Joint Authors

Li, Jie
Peng, Mian

Source

Journal of Automation and Systems Engineering

Issue

Vol. 6, Issue 1 (31 Mar. 2012), pp.1-10, 10 p.

Publisher

Piercing Star House

Publication Date

2012-03-31

Country of Publication

Algeria

No. of Pages

10

Main Subjects

Economy and Commerce

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