scholarly journals Multi-Agent System Development and Application for Supply Chain Management Tasks

2021 ◽  
Vol 24 ◽  
pp. 1-7
Author(s):  
Darya Plinere ◽  
Ludmila Aleksejeva ◽  
Yuri Merkuryev

In today’s dynamically changing environment, we need to be able to respond in a timely manner to changes in supply chain processes. Software agents are successfully used in supply chain management tasks for a variety of purposes. The behaviour of agents is determined by the purpose of their development, and the effectiveness of the use of agents is considered in accordance with the purpose of their development. The paper presents research on the development of a multi-agent system for supply chain management, focusing on the steps of developing a multi-agent system. The choice of each algorithm for agents is analysed and argued. The application of the developed multi-agent system for supply chain management is also described in the paper. The efficiency of application of the developed multi-agent system is presented as well.

Author(s):  
Hyung Rim Choi ◽  
Hyun Soo Kim

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


Author(s):  
Golenur Begum Huq ◽  
Robyn Lawson

This chapter explores the utilisation of a multi-agent system in the field of supply chain management for electronic business. It investigates the coordination and cooperation processes, and proposes and discusses a newly developed model for an enhanced and effective cooperation process for e-business. The contribution made by this research provides a theoretical solution and model for agents that adopt the enhanced strategy for e-business. Both large organizations and SMEs will benefit by increasing and expanding their businesses globally, and by participating and sharing with business partners to achieve common goals. As a consequence, the organizations involved will each earn more profit.


2013 ◽  
Vol 40 (5) ◽  
pp. 1505-1518 ◽  
Author(s):  
Mortaza Zolfpour-Arokhlo ◽  
Ali Selamat ◽  
Siti Zaiton Mohd Hashim

2021 ◽  
Author(s):  
Darja Plinere

The aim of the doctoral thesis is to develop an approach to the multi-agent system development that ensures the improvement of supply chain management efficiency. The developed approach allows creating a multi-agent system that can be used for various supply chain participants, as it reviews main supply chain processes and tasks to be solved. Various inventory management methods were used in the developed multi-agent system: forecasting algorithms, ABC analysis, and inventory replenishment point determination. Production scheduling and rescheduling were also used in the multi-agent system to reduce the total production time.


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