Paper Info
Title
Linking Autonomous Agents To Cpfr To Improve Scm
Abstract
Purpose - The standpoint of this research lies in the study of the CPFR process for trading partners (belonging to the same supply chain) who are willing to collaborate in exchanging sales and order forecast. This points out the need for providing a collaboration process with an intelligent tool to optimise negotiation.Design/methodology/approach - A literature review and classification has been carried out concerning autonomous agents used to manage supply chain processes. To evaluate the strengths coming from an intelligent system embedded within the CPFR process, several experiments in different conditions were conducted using simulation tool.Findings - The analysis of experimental results points out that the agent-driven negotiation process (by comparison to CPFR without intelligent agents) benefits in terms of costs, inventory level, stock-out level and sales.Research limitations/implications - The study represents a one-to-one scenario, in which only two trading partners collaborate. Further, research has been identified to extend the work.Practical implications - The study represents a first step towards the analysis of a multi-agent system being used to automate and optimise collaboration along a supply chain.Originality/value - The study represents a novel approach to resolving exceptions concerning sales and forecast data.
Year
DOI
Venue
2006
10.1108/17410390610703620
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
Keywords
DocType
Volume
Process planning, Cooperative marketing, Forecasting, Supply chain management
Journal
19
Issue
ISSN
Citations 
5
1741-0398
4
PageRank 
References 
Authors
0.43
7
3
Name
Order
Citations
PageRank
Maria Caridi152.22
Roberto Cigolini2182.18
D. De Marco340.43