Authors:
Fangqi Cheng
1
;
Feifan Ye
2
and
Jianguo Yang
1
Affiliations:
1
School of Mechanical Engineering, Shanghai JiaoTong University, China
;
2
Faculty of Engineering, Ningbo University, China
Keyword(s):
Industrial Cluster, Virtual Enterprise, Order Allocation, Evolutionary Programming, Partner Selection.
Related
Ontology
Subjects/Areas/Topics:
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Enterprise Resource Planning
;
Enterprise Software Technologies
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Software Engineering
Abstract:
To build virtual enterprise based on an industrial cluster is one of the most important ways to improve the agility and competitiveness of manufacturing enterprises. One of the key factors towards the success of virtual enterprises is the correct selection of cooperative partners. The approach proposed for order allocation and partner selection is composed of two stages: task-resource matching and quantitative evaluation. In the first stage the potential candidates are identified and in the second stage evolutionary programming is applied. The architecture for information evaluation and order allocation is studied for the proposed approach. The target function, in which the load rate of candidate enterprise is taken as the main variable, is developed, and a simplified example is used to verify the feasibility of the proposed approach. The result suggests that the proposed model and the algorithm obtain satisfactory solutions.