Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Agents for process coherence in virtual enterprises
Communications of the ACM
Agent-oriented technology in support of e-business
Communications of the ACM
Representing agent interaction protocols in UML
First international workshop, AOSE 2000 on Agent-oriented software engineering
Supply chain agent decision aid system (SCADAS)
Proceedings of the 33nd conference on Winter simulation
Computers play the beer game: can artificial agents manage supply chains?
Decision Support Systems - Special issue: Formal modeling and electronic commerce
Agent architecture for agent-based supply chain integration & coordination
ACM SIGSOFT Software Engineering Notes
SISCO: an object-oriented supply chain simulation system
Decision Support Systems
On-demand e-supply chain integration: A multi-agent constraint-based approach
Expert Systems with Applications: An International Journal
Business analytics in supply chains - The contingent effect of business process maturity
Expert Systems with Applications: An International Journal
Applications of agent-based models for optimization problems: A literature review
Expert Systems with Applications: An International Journal
A RFID-based Resource Allocation System for garment manufacturing
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
The application of agent technology in the apparel supply chain management has gained increasing interest. Agents can help automate a variety of tasks and facilitate decision-making in the supply chain. Compared with other industries, there are more uncertainties existing in the fashion industry such as market needs, fashion change and seasonality, which increases the difficulty of managing the apparel supply chain especially in the ordering process. Thus, it is necessary to increase the coordination in the apparel supply chain processes and develop optimal decision-making strategy for the apparel supply chain under the dynamic environment. In this paper, unified modeling language (UML) is applied to simulate the supply chain processes and describe the relationships between agents. This paper also applies genetic algorithm (GA) and fuzzy inference theory to the dynamic reorder strategy for the supply chain agent to make optimal decision about replenishment quantity and reorder point in order to minimize the inventory cost correspondingly.