Uncertain model of industrial clusters for the optimal arrangement of co-operation networks under sustainable and dynamic conditions

Abstract

Industrial clusters are one of the most current development models. Aggregation of firms in a geographical area has many advantages, such as cost reduction, better supply, and knowledge emission with linkage together. The linkage result will be created the networks. The industrial clusters without co-operation networking will not be developed. That must be noticed to severe changes of business environment parameters. Therefore, this paper develops an uncertain mathematical model under sustainable and dynamic conditions. The model contains four objectives, namely profit, transportation cost, employment, and environment appraisal of the cluster. The outcome of this research is to find the best/optimal solution for firms' arrangements with/within networks that maximize the profit, employment, and environment score and so minimize the transportation cost. The assignment patterns show horizontal and vertical cooperation with/within networks. The efficiency of model clustering in sub-clusters is followed by the neighbor clustering efficiency and the one's clustering efficiency methods.

Collaborative Research on the Evolution of Key Technology Cooperation in the Integrated Circuit Industry Supply Chain

“…Sarafrazi A proposed an uncertainty model based on sustainable development, establishing four optimization objectives: cluster economic benefits, transportation costs, employment, and environmental benefits, reflecting the horizontal and vertical collaboration of enterprises in the network. Research has been conducted on model clustering using the efficiency of nearest neighbor clustering and individual clustering [2]. Ekanayake E aimed to develop a multi-stage mathematical model to evaluate the adoption of supply chain capabilities in Hong Kong's industrial buildings [3].…”