An immunity‐based control framework for facilities relocation in supply chain
Source: International Journal of Intelligent Systems Technologies and Applications, Volume 7, Number 2, 26 May 2009 , pp. 188-204(17)
Publisher: Inderscience Publishers
Abstract:Facilities' location in supply chain is one of the fundamental and strategic decisions of supply chain management. Location in any time is corresponding to that specific time conditions, and a location that is appropriate for one of the facilities, because of the condition's change may not be appropriate for the same facilities after years. The human immune system is a self‐organising and highly distributed multi‐agent system. These properties impart a high degree of robustness and performance that has created great interest in implementing engineering systems. This adopted engineering analogue is called artificial immune system. This article presents an immunity‐based control framework, for facilities relocation problem in supply chain which has the ability to detect changes, adapt to dynamic environment, and coordinate facilities activities for achieving goals, to deploy facilities in a supply chain. A robust and flexible supply chain is achieved through the self‐organised and fully decentralised facilities. This model can help in deciding about the supply‐chain location changes, constructing new facilities and an appropriate time for those jobs.
Keywords: COMPUTING AND MATHEMATICS JOURNALS; Computing Science, Applications and Software; Electronic Systems, Control and Artificial Intelligence; Materials and Manufacturing; Systems Engineering; TECHNICAL JOURNALS
Document Type: Research Article
Affiliations: 1: Department of Industrial Engineering, Tarbiat Moallem University (TMU), Mofatteh Street, Tehran 15719-14911, Iran. 2: Young Researchers Club, Islamic Azad University, Babol Branch, Iran
Publication date: May 26, 2009
- Intelligent systems refer broadly to computer embedded or controlled systems, machines and devices that possess a certain degree of intelligence. International Journal of Intelligent Systems Technologies and Applications, a peer-reviewed double-blind refereed journal, publishes original papers featuring innovative and practical technologies related to the design and development of intelligent systems. Its coverage also includes papers on intelligent systems applications in areas such as manufacturing, bioengineering, agriculture, services, home automation and appliances, medical robots and robotic rehabilitations, space exploration, etc.
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