Collaborative Supply Chain Decision Support And Multi-Attribute Supply Chain Scenarios

Multi-Agent Decision Support System for Supply Chain Management

This paper presents an extended abstract of the author’s doctoral research project on developing a multi-agent intelligent system for automatic managing supply chains. Supply chain management (SCM) is a very complex and dynamic environment. The doctoral work, which started in October 2005, is dedicated to finding better solutions for successful performance in the domain of real-time SCM.

A multi-agent decision support system for supply chain management

Supply Chain Management (SCM) involves a number of activities from negotiating with suppliers to competing for customer orders and scheduling the manufacturing process and delivery of goods. The activities are different in their nature: they work with various data, have different tasks and constraints. At the same time, they are interrelated to ensure the achievement of the ultimate goal of max...

Decision Support Technique for Supply Chain Management

In this paper, we propose a method for supporting decision makers in the domain of supply chain management. Our objective is the global optimization instead of optimizing independent subsystems of the supply chain. The method architecture is based on combination of the simulation and optimization techniques which includes a multi-objectives optimization module and a simulation module. The optim...

Agent-Based E-Supply Chain Decision Support

The global Internet economy is expected over time to give rise to increasingly agile practices where new supply chain arrangements are dynamically set up in response to changing business conditions and demands for highly customized products and services. To implement these “e-Supply Chain” practices, enterprises need the ability to rapidly evaluate new business opportunities and dynamically ide...

Decision Support Framework for Supply Chain Collaboration