A packaging company is designing reusable multi-folding plastic box with RFID function. They want to identify material flow and inventory status of multi-folding box by adapting RFID technology and reallocate the boxes to required distribution centers. This reusable box may contain various types of materials such like liquids, metals, farm products and so on. Recently, RFID technology has been widely applied in the industrial fields, especially in logistics. However, RFID technology has some problems. One of the problems is that it doesn't guarantee the RFID recognition with environment of metals and liquids. We cannot overlook this fact because the contents of box is not fixed and may contain various kinds of materials. The purpose of this research is to analyze the influence of unspecified contents on the RFID detectability of reusable multi-folding box and predict the reading rate on various conditions. At first, we selected a list of test materials from expert interview and literature survey and performed experimental design to investigate influence by materials. Then, we built a prediction model using support vector machine (SVM) to predict reading rate on various conditions. The proposed model is based on intelligent machine learning algorithm. It gave a high accuracy of prediction, and provided robust combinations of conditions as to detectability on various contents. Finally, we performed sensitivity analysis about marginal detectability of influencing factors and found out tolerable level of factors.

본 연구는 회수 가능한 플라스틱 다단상자에 물류분야에서 주로 이용되는 UHF대역(900MHz)의 RFID 기술을 응용하기위해 플라스틱 다단상자에 금속 등의 내용물에 따라 인식률에 미치는 영향에 대해 논의 하고 RFID 칩의 삽입위치를 제안한다. 현재 수출용 물류에 사용되는 박스는 일회용 목재 팔레트를 이용 해 수출을 한 뒤 폐기하고 있는 실정이다. 일회용 목재 팔레트를 이용하는 수출업체는 폐기비용 발생으 로 인해 물류비가 증가하며 이는 가격경쟁력 면에서 뒤처지는 문제점뿐만 아니라 목재라는 특성상 수출 시 방역 및 위생문제에 노출, 외부 충격으로 인한 상자 및 상품의 파손위험 등의 단점이 있다. 많은 기업들이 신제품개발, 품질개선, 원가절감 등에 힘쓰고 있지만, 이들 중 대부분의 기업은 물류비용에 대한 인식이 결여되어있다. 따라서 본 연구에서 회수 가능한 플라스틱 다단상자에 RFID 기술을 응용해 기존의 나무상자의 단점을 해소하고 대체할 수 있는 방안을 제시하기 위해 실험을 통해 RFID 칩의 부착위 치를 실증적으로 연구하였다.

Nowadays meteorological information is systemized as a useful knowledge which has a significant effect on the overall industrial domains over the simple data. The distribution industry, which has the short life cycle, depends on the meteorological information at the strategic level. However, it is necessary to pay attention to the continuous investment in meteorological information because there is a hostility to paying for a service, particularly it does not provide accurate and reliable information. Therefore, the purpose of this study is to increase the usefulness of meteorological information in the distribution industry for its economic effectiveness from the core meteorological factors. We found significant meteorological factors (temperature, precipitation, disaster) that have a critical influence on the distribution industry through the hierarchical analysis process, and their importance according to the type of distribution channels, such as department store, large-scale discount store, convenience store, and home shopping. We performed the AHP analysis with 103 survey samples by middle managers from the various distribution channels. We found that precipitation is the critical meteorological factor across the distribution industry. Based on this result, we stress the difference in the level of the meteorological information in order for the effectiveness of each type of distribution channels.