A Multi-Agent Self-Adaptive architecture for outsourcing manufacturing supply Chain

Kumari, Sushma; Singh, Akshit; Mishra, Nishikant; Garza-Reyes, Jose Arturo

Abstract

In present day’s economy of recession and frequent market fluctuations, it is difficult to satisfy the customer with the products and services at reasonable price. The prices of resources are increasing consistently and the manufacturing industries have to optimize the use of resources so as to make a trade-off between the cost incurred and the services provided to the customer. Realizing this scenario, this article proposes an automated system equipped with artificial intelligence to deal with these complexities and difficulties. This automated system has the capability of self-decision-making and is further complemented by the feature of reconfiguring its operation according to the various uncertainties in the Supply Chain. It utilizes multi agent architecture for its operations. It focuses on adding some additional features to the conventional multi agent architecture for improving the efficiency of the Supply chain and optimizing the make span. It exploits the ‘‘Outsourcing of operations’’ feature by its agents to conclude the manufacturing processes faster and reduce the idle time of certain machines. This article also presents the concept of outsourcing of the manufacturing plant. This multi agent architecture will facilitate small scale manufacturing industries to execute their manufacturing process and complex logistics issues efficiently.

Citation

Kumari, S., Singh, A., Mishra, N., & Garza-Reyes, J. A. (2013). A Multi-Agent Self-Adaptive architecture for outsourcing manufacturing supply Chain. In A. Azevedo (Ed.), Advances in Sustainable and Competitive Manufacturing Systems : 23rd International Conference on Flexible Automation & Intelligent Manufacturing (1185-1196). Springer. https://doi.org/10.1007/978-3-319-00557-7_97

• Online Publication Date: Jun 25, 2013
• Publication Date: Jan 1, 2013
• Deposit Date: Sep 14, 2021
• Publisher: Springer
• Pages: 1185-1196
• Series Title: Lecture Notes in Mechanical Engineering
• Series ISSN: 2195-4356; 2195-4364
• Book Title: Advances in Sustainable and Competitive Manufacturing Systems : 23rd International Conference on Flexible Automation & Intelligent Manufacturing
• ISBN: 9783319005560
• DOI: https://doi.org/10.1007/978-3-319-00557-7_97
• Keywords: Supply chain; Forecast method; Planning agent; Maintenance policy; Multi agent
• Public URL: https://hull-repository.worktribe.com/output/3601766