Management Engineering Department Zhengzhou University, Zhengzhou, 450001, China

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Abstract—This paper deals with the competition diffusion model of the green manufacturing mode, as well as parameter analysis and identification of the model. The aim is to better reveal the diffusion rules of the green manufacturing and provide a new quantitative way to diffusion study on advanced manufacturing modes. First, considering the diffusion characteristics of the green manufacturing mode, the competition diffusion model of the green manufacturing mode is established. Second, the model is analyzed, and qualitative results are presented. Government influence parameter is analyzed to reveal its influence on the diffusion process. Third, based on a practical application of the diffusion model, a parameter identification model is proposed. A parameter identification algorithm based on genetic algorithm (GA) is proposed to obtain optimized parameters for the diffusion model. The resulting model output is compared and contrasted with real data. Finally, the application of the model is explained. The proposed model and algorithm disclose the diffusion rules of the advanced manufacturing modes, and provide a new approach to the identification of parameters in the diffusion model. This helps to understand the diffusion status of advanced manufacturing modes and provides a decision-making basis for enterprises and governments.

Index Terms—competition diffusion, decision support, Green manufacturing mode, parameter identification, genetic algorithm

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Cite: Chaogai Xue, "Diffusion Behavior and Analysis of the Green Manufacturing Mode under the Influence of Government," Journal of Computers vol. 9, no. 1, pp. 89-94, 2014.