Abstract
Supply Chain Management (SCM) is a management paradigm to understand and analyze the flow of goods, services and the accompanying values reaching to the consumers followed by the processes of purchasing, production and distribution with combining and connecting the whole system. Today, SCM is regarded as an essential strategic factor which has a great deal of influence on earning competitiveness in the abruptly changing global business environment. Multi-agent technology becomes the best candidate for problem solver under these circumstances. An agent performs given tasks automatically using inter-collaboration or negotiation with other agents on behalf of a human on the basis of real-time connectivity. There will be the conflict among the pursuit of the profit of all members of the SCM. In order to maximize the total profit of the SCM, negotiation among all members is necessary. In this research, we propose to find the best negotiation strategy that makes all members of the SCM satisfied in a simple SCM. We suggest a new negotiation algorithm in the SCM environment with using multi-agent technology. The ideas behind the suggested model are negotiation algorithm with a trading agent and we consider multiple factors that are price, review point and delivery time. We created agents with Java Agent Development Framework (JADE) and performed the simulation under JADE and Eclipse environment. The case study denotes that our algorithm gives a better result than the Kasbah system that is a typically well known system where users create autonomous agents that buy and sell goods on their behalf. We’ve used benefit/cost ratio as a performance measure in order to compare our system with the Kasbah system.
Highlights
The supply chain is a worldwide network of suppliers, factories, warehouses, distribution centers, and retailers through which raw materials are acquired, transformed, and delivered to customers
The agent platform can be distributed across machines that not even need to share the same OS and the configuration can be controlled via a remote graphical user interface (GUI)
Design Element and Notation We propose multi-agent modeling for a Supply Chain Management (SCM) system using adaptive trading agent to make the most appropriate decision using multi attribute for demand of buyer
Summary
The supply chain is a worldwide network of suppliers, factories, warehouses, distribution centers, and retailers through which raw materials are acquired, transformed, and delivered to customers. Collaborations in supply chains cannot begoverned by any single company in a one-directional way, but need to be coordinated by autonomous participation of companies For these reasons, agent technology is regarded as one of the best candidates for supply chain management. Internet technologies have contributed significantly to e-commerce by increasing the mutual visibility of consumers and suppliers, and by raising the possibility that some of their trading processes may be automated Despite these advances, most procurement activities within supply chains. The supply chain domain typically requires handling a much more complex setting where decisions must be made in the presence of greater degrees of uncertainty To this end, the International Trading Agents Competition for Supply Chain Management (TAC SCM) represents an ideal environment in which to test the autonomous agents. The remainder of the paper is organized as follows: Section 2 describes a review of the literature; Section 3 presents the framework for agent development; Section 4 suggests the modeling of the problem under study; Section 5 provides a case study; and Section 6 concludes this paper and outlines the areas of future work
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