RFID-based Supply Chain Process Mining for Imported Beef

• 발행기관: 한국축산식품학회
• 저자명: Yong Shin Kang Kyoung Hun Lee Yong Han Lee Ku Young Chung
• 간행물 정보: 『Food Science of Animal Resources』Korean Journal for Food Science of Animal Resources 제33권 제4호, 463~473쪽, 전체 11쪽
• 주제분류: 농수해양 > 식품과학
• 파일형태: PDF
• 발행일자: 2013.08.31

영문 초록

Through the development of efficient data collecting technologies like RFID, and inter-enterprise collaboration platforms such as web services, companies which participate in supply chains can acquire visibility over the whole supply chain, and can make decisions to optimize the overall supply chain networks and processes, based on the extracted knowledge from historical data collected by the visibility system. Although not currently active, the MeatWatch system has been developed, and is used in part for this purpose, in the imported beef distribution network in Korea. However, the imported beef distribution network is too complicated to analyze its various aspects using ordinary process analysis approaches. In this paper, we suggest a novel approach, called RFID-based supply chain process mining, to automatically discover and analyze the overall supply chain processes from the distributed RFID event data, without any prior knowledge. The proposed approach was implemented and validated, by using a case study of the imported beef distribution network in Korea. Specifically we demonstrated that the proposed approach can be successfully applied to discover supply chain networks from the distributed event data, to simplify the supply chain networks, and to analyze anomaly of the distribution networks. Such novel process mining functionalities can reinforce the capability of traceability services like MeatWatch in the future.

키워드

imported beef supply chain process mining traceability system