Research on Multi-agent Distributed Supply Chain Information Collaboration Based on Cloud Environment

2019 ◽  
pp. 156-168
Author(s):  
Qiaohong Zu ◽  
Ya Liu
Keyword(s):  
Supply Chain ◽  
Cloud Environment ◽  
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.

An agent-based supplier selection framework

2015 ◽  
Vol 8 (2/3) ◽  
pp. 180-205 ◽  
Author(s):  
Alireza Jahani ◽  
Masrah Azrifah Azmi Murad ◽  
Md. Nasir bin Sulaiman ◽  
Mohd. Hasan Selamat
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Information Overload ◽  
Case Based Reasoning ◽  
Multi Agent Systems ◽  
Content Type ◽  
Agent Based ◽  
Common Framework ◽  
Multi Agent ◽  
Case Based

Purpose – The purpose of this paper is to propose an approach that integrates three complementary perspectives, multi-agent systems, fuzzy logic and case-based reasoning. Unsatisfied customers, information overload and high uncertainty are the main challenges that are faced by today’s supply chains. In addition, a few existing agent-based approaches are tied to real-world supply chain functions like supplier selection. These approaches are static and do not adequately take the qualitative and quantitative factors into consideration. Therefore, an agent-based framework is needed to address these issues. Design/methodology/approach – The proposed approach integrates three complementary perspectives, multi-agent systems, fuzzy logic and case-based reasoning, as a common framework. These perspectives were rarely used together as a common framework in previous studies. Furthermore, an exploratory case study in an office furniture company is undertaken to illustrate the value of the framework. Findings – The proposed agent-based framework evaluates supply offers based on customers’ preferences, recommends alternative products in the case of stock-out and provides a collaborative environment among agents who represent different supply chain entities. The proposed fuzzy case-based reasoning (F-CBR) approach reduces the information overload by organizing them into the relevant cases that causes less overall search between cases. In addition, its fuzzy aspect addresses the high uncertainty of supply chains, especially when there are different customers’ orders with different preferences. Research limitations/implications – The present study does not include the functions of inventory management and negotiation between agents. Furthermore, only the case description and case retrieval phases of the case-based reasoning approach are investigated, and the remaining phases like case retaining, case reusing and case revising are not included in the scope of this paper. Originality/value – This framework balances the interests of different supply chain structural elements where each of them is represented by a specific agent for better collaboration, decision-making and problem-solving in a multi-agent environment. In addition, the supplier selection and order gathering mechanisms are developed based on customers’ orders.

An autonomous multi-agent approach to supply chain event management

2012 ◽  
Vol 135 (1) ◽  
pp. 468-478 ◽  
Author(s):  
Lorena A. Bearzotti ◽  
Enrique Salomone ◽  
Omar J. Chiotti
Keyword(s):  
Supply Chain ◽  
Event Management ◽  
Multi Agent

Multi-agent System for Simulation of Response to Supply Chain Disruptions

2019 ◽  
pp. 128-139
Author(s):  
Jing Tan ◽  
Rongjun Xu ◽  
Kai Chen ◽  
Lars Braubach ◽  
Kai Jander ◽  
...  
Keyword(s):  
Supply Chain ◽  
Multi Agent System ◽  
Agent System ◽  
Supply Chain Disruptions ◽  
Multi Agent
Sign in / Sign up

Export Citation Format

Share Document