A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
A multi-agent based system with big data processing for enhanced supply chain agility
2016
Journal of Enterprise Information Management
Purpose: Decision support systems have become an indispensable tool for managing complex supply chains. This paper develops a multi-agent based supply chain management system that incorporates big data analytics that can exert autonomous corrective control actions. The effects of the system on supply chain agility are explored. Design/methodology/approach: For the development of the architecture of the system, a sequential approach is adopted. First three fundamental dimensions of supply chain
doi:10.1108/jeim-06-2015-0050
fatcat:tjr4wksbxbedbjlbeqbvdlxd6q