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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.

This paper presents a real time workers' behavior analyzing system using wearable sensors which combine Bluetooth low energy beacon (Beacon) and acceleration sensor to measure production progress and work history data in a cellular manufacturing system. It takes a lot of cost to collect those data on the cellular manufacturing line where workers' work is mainly conducted. For the purpose, we first built an experimental cellular manufacturing line and collected workers' behavioral data. Next, we developed our system and determined analyzing parameters using workers' behavioral data. Finally, we built another experimental cellular manufacturing line, and we measured production progress and work history data from our system. We then compared the result with a conventional visual method using video. The results revealed that our system measured the productivity data in the cellular manufacturing line which does not use a machine, and we could gather production progress and work history data more quickly than the conventional method. We believe that our system will make it possible to increase the efficiency of the supply chain system, to get a quick feedback in daily production, and to improve production.