Volume 5, Issue 1 (Journal of Control, V.5, N.1 Spring 2011)
JoC 2011, 5(1): 1-13 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Miranbeigi M, Jalali A A. Centralized Constrained Predictive Control on Information Coupled Supply Chain Management System. JoC 2011; 5 (1) :1-13
URL: http://joc.kntu.ac.ir/article-1-92-en.html
URL: http://joc.kntu.ac.ir/article-1-92-en.html
Abstract: (12097 Views)
Supply chain management system (SCM) is a network of suppliers and manufacturers and warehouses and distributors and retailers, with large delay times. The control system aims at operating the supply chain at the optimal point despite the influence of demand changes. In this paper, an information coupled supply chain management system model based on “Beer Game Theory” was used and was developed to an supply chain management consist of supply, manufacture, warehouse, distribution, retailer units .Then a centralized constrained model predictive controller applied on that. Also a move suppression term added to cost function, which increased system robustness toward changes on demands
Keywords: Supply Chain Management System, Demand, Information Coupled Supply Chain Management System, Model Predictive Controller, Move Suppression Term.
Type of Article: Research paper |
Subject:
Special
Received: 2014/06/16 | Accepted: 2014/06/16 | Published: 2014/06/16
Received: 2014/06/16 | Accepted: 2014/06/16 | Published: 2014/06/16
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
