A bionic incremental model of the fashion industry value chain based on a multicellular network

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• 作者：Chang Liu
• 关键词：Multicellular structure network ; Fashion industry ; Bionic increment modela ; Value ; added modes
• 刊名：Memetic Computing
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：9
• 期：1
• 页码：43-54
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics); Complex Systems; Control, Robotics, Mechatronics; Bioinformatics; Applications of Mathematics;
• 出版者：Springer Berlin Heidelberg
• ISSN：1865-9292
• 卷排序：9

文摘

With the development of the fashion industry, it is useful to analyze its value chain increment mechanism in different social environments and economic development situations. In this paper, we propose a bionic increment model of the fashion industry value chain (FIVC) based on a multicellular network structure. First, we summarize the main factors influencing the increment in the FIVC, and regard these as symbiotic biological tissue cells in a multicellular network structure. We then explore the relationships between the cells of different biological tissues in various simulated environments. Furthermore, we analyze the characteristics of the FIVC based on our multicellular network model. A simulated analysis based on a simplified six-cell network is used to demonstrate the flexibility of the bionic increment model. In the six-cell network, the profitability of an enterprise is determined by its four abilities: (1) basic operational ability, (2) human resource utilization, natural resource development and utilization ability, (3) marketing ability, and (4) fashion brand influence, and scientific innovation ability. Through the simulation results, we find that the multicellular tissue network model can effectively simulate the incremental process of the FIVC, which conforms to the intuitive cognition. It can help an enterprise to predict and regulate its value chain increment, and thus has both practical and theoretical significance.