The advent of big data has brought about the need for analytics. Natural language processing (NLP), a field of big data, has received a lot of attention. Topic modeling among NLP is widely applied to identify key topics in various academic journals. The Korean Society of Industrial and Systems Engineering (KSIE) has published academic journals since 1978. To enhance its status, it is imperative to recognize the diversity of research domains. We have already discovered eight major research topics for papers published by KSIE from 1978 to 1999. As a follow-up study, we aim to identify major topics of research papers published in KSIE from 2000 to 2022. We performed topic modeling on 1,742 research papers during this period by using LDA and BERTopic which has recently attracted attention. BERTopic outperformed LDA by providing a set of coherent topic keywords that can effectively distinguish 36 topics found out this study. In terms of visualization techniques, pyLDAvis presented better two-dimensional scatter plots for the intertopic distance map than BERTopic. However, BERTopic provided much more diverse visualization methods to explore the relevance of 36 topics. BERTopic was also able to classify hot and cold topics by presenting ‘topic over time’ graphs that can identify topic trends over time.

Topic modeling has been receiving much attention in academic disciplines in recent years. Topic modeling is one of the applications in machine learning and natural language processing. It is a statistical modeling procedure to discover topics in the collection of documents. Recently, there have been many attempts to find out topics in diverse fields of academic research. Although the first Department of Industrial Engineering (I.E.) was established in Hanyang university in 1958, Korean Institute of Industrial Engineers (KIIE) which is truly the most academic society was first founded to contribute to research for I.E. and promote industrial techniques in 1974. Korean Society of Industrial and Systems Engineering (KSIE) was established four years later. However, the research topics for KSIE journal have not been deeply examined up until now. Using topic modeling algorithms, we cautiously aim to detect the research topics of KSIE journal for the first half of the society history, from 1978 to 1999. We made use of titles and abstracts in research papers to find out topics in KSIE journal by conducting four algorithms, LSA, HDP, LDA, and LDA Mallet. Topic analysis results obtained by the algorithms were compared. We tried to show the whole procedure of topic analysis in detail for further practical use in future. We employed visualization techniques by using analysis result obtained from LDA. As a result of thorough analysis of topic modeling, eight major research topics were discovered including Production/Logistics/Inventory, Reliability, Quality, Probability/Statistics, Management Engineering/Industry, Engineering Economy, Human Factor/Safety/Computer/Information Technology, and Heuristics/Optimization.

RFID(Radio Frequency Identification)를 이용하면 제품에 대한 실시간 파악이 가능하다. RFID는 IT 산업의 대안으로 평가되고 있고, 생산물류 뿐만 아니라 SCM의 재고를 관리하는 데에 있어서도 재고통재 및 관리를 효율적으로 할 수 있다. 또한 품질보증의 기능을 하고 제품에 대한 로트 추적이나 생산과정을 파악할 수 있어 문제점에 대한 재발방지 및 개선에 대한 역할이 가능해 진다. 실시간으로 재고를 통제 및 관리함으로써 보다 효율적인 생산지시 시스템을 구축할 수 있다. 이외에도 IE분야인 공정관리, 작업관리, 설비관리, 유통관리, 유통관리 등에도 적용이 가능하며, 재해의 위험요소를 원천적으로 방지하는 RFID 안전시스템에도 적용할 수 있다. 본 연구는 RFID의 적용 및 활동방안 대해 연구를 통해 새로운 기술환경에서 IE 및 산업안전 분야 등에 활용하고 역할과 책임을 다하고자 하기 위함이다.

This paper reviews the developmental plan of industry in the industrial present condition of Korean Assistive Technology (Rehabilitation Engineering). The discussion includes the important role that go ahead the research of present condition about the enterprise of Assistive Technology (Rehabilitaton Engineering), reinforce the standard of equipment, the enterprise requesting the enlargement of facilities must lease a low late by the bank financing, give a necessary funds to a excellent minor enterprise, support a variety custom reduce method to buy a machine parts and machinery. The education master plan for rehabilitation engineer must be necessary the national medical engineer by establishing over one department at one big city and one province Further more research studies are required to realize on the developmental plan of Assistive Technology (Rehabilitation Engineering).