Multi Agent System: Concepts and Applications in Supply Chain

2019 ◽  
Author(s):  
Om Ji Shukla ◽  
Ganesh Patel
Keyword(s):  
Supply Chain ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

Quality safety of agricultural products in supply chain-computer simulation based on multi-agent system

2021 ◽  
pp. 1-8
Author(s):  
Wei Zhou ◽  
Maha Saad Metawea
Keyword(s):  
Computer Simulation ◽  
Supply Chain ◽  
Agricultural Products ◽  
Computer Simulation Model ◽  
Quality And Safety ◽  
Multi Agent System ◽  
Agent System ◽  
Supply Chain System ◽  
Multi Agent ◽  
Countermeasures And Suggestions

As is known that, one of the challenges in ensuring the quality and safety of agricultural products in China is how to organize plenty of scattered small farmers and integrate them into the modern agricultural products supply chain system. In this paper, in order to promote the tight integration of agricultural products supply chain, based on multi-agent system, a computer simulation model of agricultural products supply chain is proposed. Through a series of simulation experiments, the evolution of the organizational structure of the agricultural products supply chain, its impact on the quality and safety of agricultural products under different government regulations are explored and discussed in detail. It follows from these simulation results that the more long-term-contract farmers and sellers, the more conducive to the improvement of the quality and safety of agricultural products, and the corresponding countermeasures and suggestions are also provided.

A Multi-Agent System for Optimal Supply Chain Management

2011 ◽  
pp. 281-304
Author(s):  
Hyung Rim Choi ◽  
Hyun Soo Kim
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Environmental Changes ◽  
Scheduling Algorithm ◽  
Dynamic Environment ◽  
Multi Agent System ◽  
Production Environment ◽  
Agent System ◽  
Chain Management ◽  
Multi Agent

Supply chain management recently has been developing into a dynamic environment that has to accept the changes in the formation of the supply chain. In other words, the supply chain is not static but varies dynamically according to the environmental changes. Therefore, under this dynamic supply chain environment, the priority is given not to the management of the existing supply chain but to the selection of new suppliers and outsourcing companies in order to organize an optimal supply chain. The objective of this research is to develop a multi-agent system that enables the effective formation and management of an optimal supply chain. The multi agent system for optimal supply chain management developed in this research is a multi agent system based on the scheduling algorithm, a cooperative scheduling methodology, which enables the formation of an optimal supply chain and its management. By means of active communications among internal agents, a multi-agent system for optimal supply chain management makes it possible to quickly respond to the production environment changes such as the machine failure or outage of outsourcing companies and the delivery delay of suppliers. This research has tried to suggest a new direction and new approach to the optimal supply chain management by means of a multi-agent system in dynamic supply chain environment

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