Data Science in Industrial Engineering: Past, Present, and Future

Data science has become increasingly important in modern industrial engineering, serving as a versatile tool for addressing real-world industrial challenges. In this paper, we analyze the past, present, and future of data science in industrial engineering. To understand the past and present, we examine data science-related papers published in the Journal of the Korean Institute of Industrial Engineers. To outlook the future, we conduct a survey among industrial engineers who specialize in data science. We discuss the results and provide insights into future prospects.

Authors

Publication Details

Journal
Journal of Korean Institute of Industrial Engineers
Published
2024-12-15
DOI
https://doi.org/10.7232/jkiie.2024.50.6.340
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Data Science in Industrial Engineering: Past, Present, and Future

Seokho Kang, Sungzoon Cho, Pilsung Kang
Journal of Korean Institute of Industrial Engineers
Big Data and Business Intelligence
article

Data Science in Industrial Engineering: Past, Present, and Future

Seokho Kang, Sungzoon Cho, Pilsung Kang
article en

Abstract

Data science has become increasingly important in modern industrial engineering, serving as a versatile tool for addressing real-world industrial challenges. In this paper, we analyze the past, present, and future of data science in industrial engineering. To understand the past and present, we examine data science-related papers published in the Journal of the Korean Institute of Industrial Engineers. To outlook the future, we conduct a survey among industrial engineers who specialize in data science. We discuss the results and provide insights into future prospects.

Journal of Korean Institute of Industrial EngineersVol. 50(6)
Industry, innovation and infrastructure
Openalex Percentile: Top 61%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.