Journal of Korean Institute of Industrial Engineers (대한산업공학회지)

Korean Institute of Industrial Engineers (대한산업공학회)
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Research Topics in Industrial Engineering 2001~2015

국내 산업공학 연구 주제 2001~2015

  • Jeong, Bokwon (The Graduate School of Public Policy and Information Technology, Seoul National University of Science and Technology) ;
  • Lee, Hakyeon (Department of Industrial and Systems Engineering, Seoul National University of Science and Technology)
  • 정보권 (서울과학기술대학교 IT정책전문대학원) ;
  • 이학연 (서울과학기술대학교 글로벌융합산업공학과)
  • Received : 2016.09.06
  • Accepted : 2016.11.28
  • Published : 2016.12.15
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Abstract

Over the last four decades, industrial engineering (IE) research in Korea has continued to evolve and expand to respond to social needs. This paper aims to identify research topics in IE research and explore their dynamic changes over time. The topic modeling approach, which automatically discovers topics that pervade a large and unstructured collection of documents, is adopted to identify research topics in domestic IE research. 1,242 articles published from 2001 to 2015 in two IE journals issued by the Korean Institute of Industrial Engineers were collected and their English abstracts were analyzed. Applying the Latent Dirichlet Allocation model led us to uncover 50 topics of domestic IE research. The top 10 most popular topics are revealed, and topic trends are explored by examining the dynamic changes over time. The four topics, technology management, financial engineering, data mining (supervised learning), efficiency analysis, are selected as hot topics while several traditional topics related with manufacturing are revealed as cold topics. The findings are expected to provide fruitful implications for IE researchers.

Keywords

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