Inter-Business Trading Structure Model with Agent-Based Simulation and Its Application to Real Data
Inter-Business Trading Structure Model with Agent-Based Simulation and Its Application to Real Data
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DOI：
10.9746/jcmsi.12.11
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发表时间：
2019-01
期刊：
影响因子：
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通讯作者：
Taisei Mukai;T. Terano
中科院分区：
文献类型：
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作者：
Taisei Mukai;T. Terano
提出了一种基于智能体仿真的企业间交易结构模型。该模型可以处理两种动态变化：(1)供需量和由此产生的生产提前期；(2)分散式和集中式企业间结构的结合。将该模型应用于分析近期日本fiRm数据的快速市场变化。这些数据来自TDB(帝国库数据库)商业交易数据库，其中包含fiRM信息，其中包含400万个交易项目、业务量和多年来的关系。利用这些信息，我们重点关注了日本软件行业涉及的fiRMS交易的变化。应用于真实数据的实验结果表明，该模型确定的动态结构变化对日本软件业fiRMS在TDB数据库中的各种表现情况具有关键作用。
: This paper proposes an inter-business trading structure model with agent-based simulation. The proposed model can deal with the two kinds of dynamic changes: (1) supply and demand volumes and the resulting production lead time, and (2) the combination of both decentralized and centralized inter-business structure. The model is applied to analyzing recent rapid market changes of Japanese firm data. The data is taken from the TDB (Teikoku Databank) business trading database, which contains firm information with four million trading items, business volumes and relations over many years. Using this information, we focused on changes in the trading of firms involved in the Japanese software industry. The experimental results applied to real data suggest that the dynamic structural changes determined by the model have a critical role in various cases of performance of Japanese software industry firms in the TDB database.