A Study of Information Chain for Realization of Informative Logistics System

近年来，供应链管理在世界范围内的物流活动中越来越受到重视。随着信息技术的进步，物流活动的重心将不仅仅是物流，更重要的是信息流。今天，可以毫不夸张地说，在物流业务中，信息的顺利可靠传输和公司之间的信息共享是至关重要的。因此，对于供应链管理来说，有必要清楚地展示信息流和物流。我们必须清楚地确定信息流的路径，以便在活动和许多公司之间传输信息。这种物流方式的信息流构成了“信息链”的定义特征。随着信息技术的发展，信息传播媒介如IC标签、二维图形码等应运而生，如何有效地利用信息媒介成为研究的重点。该方法能够表达所需的信息内容、流动路径、信息特征以及信息的源和汇。通过这种方法，我们可以分析如何传输信息内容，以及如何为每个信息内容选择信息媒体。在实地调查中，我们调查了三家公司，并用我们的建议代表了真实的信息链。此外，我们调查了专家的认可度，并分析了物流流程的未来目标。最后，提出了几种新的分布模型，并通过仿真实验验证了该模型的有效性。

In these days, the Supply Chain Management is being took notice in physical distribution activities in the world. As progressing of Information Technology, physical distribution activities are about to focus on not only the flow of goods, but also the flow of information. Today, it is not too much to say that transporting the information smoothly and surely and information sharing between companies is critical in the physical distribution business. Thus, it is necessary to show clearly the flow of information and physical distribution for the Supply Chain Management. We must clearly identify the path of information flow for the purpose of transporting information between the activities and many companies. This flow of information in the way of physical distribution comprises is defining features in the "Information Chain". Due to the development in Information Technology, media for communicating information, for example, IC-tags, two dimensional pattern codes and others have emerged, thus it is important to discuss how to use the information media effectively.In this study, we propose a model description method to define the Information Chain. This method can express required information contents, its flow path, information characteristics and Source and Sink of the information. By using this method, we can analyze how to transport the information contents and how to select the information media for each. In the field study, we investigated three companies and represent real Information Chain by our proposal. Moreover, we surveyed the specialist's recognition and analyzed future goals for the physical distribution process. At last, we proposed several new distribution models and clarified that effectiveness by simulation experiments.