Predictive control of multi-source - multi-channel supply chain under the influence of self-media live broadcast

DOI

10.2991/978-94-6463-262-0_81How to use a DOI?

Keywords

Model predictive control; Self media live streaming; Multi-source - multi-channel; Closed-loop supply chain; Bullwhip effect

Abstract

The proposed approach combines a multi-source- multi-channel supply chain system with Model Predictive Control (MPC), with a specific focus on the impact of self-media live streaming. The study begins by modeling and analyzing the multi-source-multi-channel closed-loop supply chain under the influence of self-media live streaming. Subsequently, the integration of MPC is explored, leveraging its predictive and rolling optimization capabilities to mitigate the bullwhip effect. To evaluate the effectiveness of the proposed approach, simulation analysis is conducted using Simulink. The experimental results confirm that the proposed method successfully mitigates the bullwhip effect, ensuring a dynamic system performance.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Haifeng Guo
AU  - Yining Yang
PY  - 2023
DA  - 2023/10/09
TI  - Predictive control of multi-source - multi-channel supply chain under the influence of self-media live broadcast
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 793
EP  - 798
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_81
DO  - 10.2991/978-94-6463-262-0_81
ID  - Guo2023
ER  -