Joonyup Eun's Homepage

This is my Personal Homepage.

My Lab Homepage (Smart Operations Lab "SOLab", in Korean) is https://solab.korea.ac.kr

Welcome to My Website,

I am Joonyup Eun. I am an Associate Professor in the Graduate School of Management of Technology at Korea University. I joined the School on Mar 1, 2019.

I am also an Operations Researcher who creates Customized Algorithms and Draws Insights for Capacity Planning/Management issues in Systems.

Contact me: jeun@korea.ac.kr

Research Interests

Data-Driven Modeling , Forecasting, and Analysis of Service Operations
Capacity Planning/Management for Industrial Applications such as Logistics and Healthcare Delivery Systems.
Development of Optimization Methodologies: Quantum-Inspired Heuristics, Stochastic Integer Programming (Sample Average Approximation), Benders Decomposition, Branch-and-Bound, Dynamic Programming, Meta-Heuristics, Simulation
Applicability of Machine/Deep Learning Methodologies to Operations Management

Academic Appointment

Korea University, Seoul, South Korea (Mar. 2019 - Present)

Associate Professor, Graduate School of Management of Technology (Mar. 2023 - Present)
Assistant Professor, Graduate School of Management of Technology (Mar. 2019 - Feb. 2023)

Vanderbilt University Medical Center, Nashville, TN, USA (Aug. 2016 - Feb. 2019)

Post-Doctoral Research Fellow of Operations Research in the Department of Anesthesiology, School of Medicine
Mentor: Prof. Vikram Tiwari, PhD

Vanderbilt University, Nashville, TN, USA (Sep. 2017 - Jun. 2018)

Data Science Fellow, Data Science Visions Trans-Institutional Program

Education

Purdue University, West Lafayette, IN, USA

Ph.D in Industrial Engineering
Dissertation: Models and Optimization for Elective Surgery Scheduling under Uncertainty Considering Patient Health Condition
Advisor: Prof. Yuehwern Yih, PhD

Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea

M.S. in Industrial and Systems Engineering

Korea University, Seoul, South Korea

B.S. in Industrial Systems and Information Engineering

Publications

International Journals

Note that 2024 Impact Factor (IF) measures the average number of citations during 2024 for the papers published in the two previous years. 2024 Scimago Journal Rank (SJR) measures the average number of weighted citations during 2024 for the papers published in the three previous years. SJR accounts for both the number of citations and the prestige of the journals where such citations come from.

__my student, * corresponding author

Zian Zhao, Hong Zhou*, Joonyup Eun, and Luwei Zhao, 2025+. A Matheuristic for Lot-Streaming Scheduling in Flexible Job Shop with Variable Sublots and Intermingling Setting. International Journal of Production Research, accepted for publication.

Byoungil Choi, Joohang Kang, Joonyup Eun* and Taesu Cheong*, 2025. Unmanned Aerial Vehicle and Autonomous Delivery Robot Station for Last-Mile Delivery Services. International Journal of Systems Science: Operations & Logistics, 12(1), 2544714.

Joohang Kang, Byoungil Choi, Chaehong Lim, and Joonyup Eun*, 2025. Cooperation and Competition in an Oligopolistic and Mature Industry: A Case Study on the Cationic Reagent Industry Based on an Optimization Model. Operations Research Perspectives, 14, 100325.

Hyungjoo Cha, Chanho Lee, Qing-Chang Lu, Chi Xie, Joonyup Eun*, and Taesu Cheong*, 2024. An Exact A∗-based Tree Search Algorithm for TSP with Sequence-and-Load Dependent Risk. IEEE Transactions on Intelligent Transportation Systems, 25(9), pp 10817-10834.

Hyungjoo Cha, DongKyun Kim, Joonyup Eun*, and Taesu Cheong*, 2023. Collaborative Traveling Salesman Problem with Ground Vehicle as a Charger for Unmanned Aerial Vehicle. Transportation Letters−The International Journal of Transportation Research, 15(7), pp 707-721.

Joonyup Eun, Vikram Tiwari*, and Warren S. Sandberg, 2022. Predicting Daily Surgical Volumes Using Probabilistic Estimates of Providers' Future Availability. Decision Sciences, 53(1), pp. 124-149. (Nominated as one of three finalists for the 2023 best paper award at Decision Sciences)

Eunbi Kim (co-advising with Prof. T. Cheong), Kap Su Han, Taesu Cheong, Sung Woo Lee, Joonyup Eun*, and Su Jin Kim*, 2022. Analysis on Benefits and Costs of Machine Learning-Based Early Hospitalization Prediction. IEEE Access, 10, pp. 32479-32493.

Junsang Yuh , Joonyup Eun*, and Taesu Cheong*, 2021. Integer Programming Approach and Application of Reformulation-Linearization Technique to Liver Exchange Problem. Expert Systems with Applications, 185, 115599.

Ahram Jeon, Joohang Kang, Byungil Choi, Nakyung Kim, Joonyup Eun*, and Taesu Cheong*, 2021. Unmanned Aerial Vehicle Last-Mile Delivery Considering Backhauls. IEEE Access, 9, pp. 85017-85033.

Joonyup Eun*, Sang-Phil Kim, Yuehwern Yih, and Vikram Tiwari, 2019. Scheduling Elective Surgery Patients Considering Time-Dependent Health Urgency: Modeling and Solution Approaches. Omega−The International Journal of Management Science, 86, pp. 137-153.

Joonyup Eun, Byung Duk Song, Sangbok Lee, and Dae-Eun Lim*, 2019. Mathematical Investigation on Sustainability of UAV Logistics. Sustainability, 11(21), 5932.

Chul Hun Choi, Joonyup Eun, Jinjian Cao, Seokcheon Lee, and Fu Zhao*, 2018. Global Strategic Level Supply Planning of Materials Critical to Clean Energy Technologies – A Case Study on Indium. Energy, 147, pp. 950-964.

Joonyup Eun, Chang Sup Sung, and Eun-Seok Kim*, 2017. Maximizing Total Job Value on a Single Machine with Job Selection. Journal of the Operational Research Society, 68(9), pp. 998-1005.

Domestic Journals

__my student, * corresponding author

Jinwoo Kim and Joonyup Eun*, 2025. Predicting Apartment Price Indices through Real Estate News Analysis: A Retrieval Augmented Generation-Large Language Model (RAG-LLM) Approach. Journal of Real Estate Analysis, 11(2), pp. 105-130.

Junhyup Lee, Keehong Park, and Joonyup Eun*, 2021. Generative Adversarial Network (GAN) Based Image Augmentation for Casting Data Classification Enhancement. Korean Journal of Logistics, 29(4), pp. 25-34 (KCI, in Korean).

Hyung Joo Lee, Yun Hangbo*, and Joonyup Eun*, 2021. A Study on the Angel Educational Program Design using QFD and Benchmarking. Productivity Review, 35(2), pp. 163-203. (KCI, in Korean).

Book Chapters

Joonyup Eun, Sangbok Lee, and Yuehwern Yih*, 2017. Patient Appointment Scheduling in Jingshan Li, Nan Kong, and Xiaolei Xie (Eds), Stochastic Modeling and Analytics in Healthcare Systems (pp. 1-30), World Scientific Publishing (Lead article of the book).

Conference Presentations

__my student

Oral Presentations

Dongsun Kim, Eunbi Kim (co-advising with Prof. T. Cheong), and Joonyup Eun. Corporate Environmental Controversy Prediction Model Verification and Application in Climate Change: Performance Improvement based on Stacking Method. Summer Conference of Korean Society for Innovation Management and Economics, Jeju, South Korea, Jul. 2023.
Jaemin Lee, Jaehyuk Jang, Eunbi Kim(co-advising with Prof. T. Cheong), and Joonyup Eun. Machine-Learning-Based Decision Support for Venture Capital Investments in Early-Stage Healthcare Companies. Spring Conference of Korean Institute of Industrial Engineers/Korean Operations Research and Management Science Society, Jeju, South Korea, Jun. 2023.
Jinwoo Kim, and Joonyup Eun. Improving US IPO Underpricing Prediction with FinBERT and BERT-Based Topic Modeling. Spring Conference of Korean Institute of Industrial Engineers/Korean Operations Research and Management Science Society, Jeju, South Korea, Jun. 2023.
Joohang Kang, Byoungil Choi, and Joonyup Eun. Cooperative Traveling Salesman Problem with Heterogeneous Sidekicks: A Heuristic Approach. Spring Conference of Korean Institute of Industrial Engineers/Korean Operations Research and Management Science Society, Jeju, South Korea, Jun. 2023.
Jihye Jung, Byoungil Choi, Joonyup Eun, and In-Chan Choi. Computational Experiences in Embedding Quantum Operators in a Metaheuristic Algorithm. Spring Conference of Korean Institute of Industrial Engineers/Korean Operations Research and Management Science Society, Jeju, South Korea, Jun. 2023.
Byoungil Choi, Jihye Jung, Taehoon Lee, Joonyup Eun, and In-Chan Choi. Embedding Quantum Computing Principles in a Metaheuristic to Enhance the Search Ability. Spring Conference of Korean Institute of Industrial Engineers/Korean Operations Research and Management Science Society, Jeju, South Korea, Jun. 2023.
Eunbi Kim (co-advising with Prof. T. Cheong), Joonyup Eun, and Taesu Cheong. Improving the Emergency Rescue System using a Drone Ambulance: A Trajectory Analysis in the Euclidean Plane. Spring Conference of Korean Institute of Industrial Engineers/Korean Operations Research and Management Science Society, Jeju, South Korea, Jun. 2023.
Dongwon Jang, Joonbeom Choi, and Joonyup Eun. Optimization of Cooperative Truck-Metro Delivery Services. Spring Conference of Korea Productivity Association, Seoul, South Korea, May 2023.
Joonbeom Choi, Joohang Kang, and Joonyup Eun. Emergency Rescue System for Cardiac Arrest Patients using Manned Aerial Vehicles. Spring Conference of Korea Productivity Association, Seoul, South Korea, May 2023.
Byoungil Choi, Jihye Jung, Taehoon Lee, Joonyup Eun, and In-Chan Choi. Incorporating the Principal Concepts of Quantum Computing into a Heuristic Framework: A Quantum-inspired Genetic Algorithm. Korea's Allied Economic Associations Annual Meeting, Seoul, South Korea, Feb. 2023.
Byoungil Choi, Taehoon Lee, Jihye Jung, Joonyup Eun, and In-Chan Choi. A Quantum-inspired Evolutionary Algorithm for Knapsack Problems. Fall Conference of Korean Institute of Industrial Engineers, Incheon, South Korea, Nov. 2022.
Junbeom Choi, and Joonyup Eun. Emergency EVTOL Facility Location Problem to Improve Response Time for Cardiac Arrest Patients. Fall Conference of Korean Institute of Industrial Engineers, Incheon, South Korea, Nov. 2022.
Hyohoon Yang, and Joonyup Eun. Optimization of Kano-QFD Integrated Model Using Weighted Criteria Goal Programming . Fall Conference of Korea Productivity Association, Seoul, South Korea, Nov. 2022.
Jamin Lee, Jaehyuk Jang, Eunbi Kim (co-advising with Prof. T. Cheong), and Joonyup Eun. Machine Learning-Based Approach for Venture Capital Investments: Focus on Healthcare Startups. Summer Conference of Korean Society for Innovation Management and Economics, Jeju, South Korea, Jul. 2022.
Eunbi Kim (co-advising with Prof. T. Cheong), Kap Su Han, Taesu Cheong, Sung Woo Lee, Joonyup Eun, and Su Jin Kim. Benefits and Costs of Machine Learning-Based Hospitalization Predictions for Emergency Department Patients. Spring Conference of Korean Operations Research and Management Science Society/Korean Institute of Industrial Engineers, Jeju, South Korea, Jun. 2022.
Kangwook Kim, Eunbi Kim (co-advising with Prof. T. Cheong), and Joonyup Eun. Machine Learning-Based Aircraft Climb Speed Modeling to Improve Fuel Efficiency. Spring Conference of Korean Operations Research and Management Science Society/Korean Institute of Industrial Engineers, Jeju, South Korea, Jun. 2022.
Joohang Kang, Byoungil Choi, and Joonyup Eun. Last-Mile Delivery with Heterogeneous Sidekicks: Modeling and Implications. Spring Conference of Korean Operations Research and Management Science Society/Korean Institute of Industrial Engineers, Jeju, South Korea, Jun. 2022.
Byoungil Choi, Joohang Kang, Joonyup Eun, and Taesu Cheong. Last-Mile Delivery Station with Heterogeneous Vehicles: Modeling, Solution Approaches, and Implications. Spring Conference of Korean Operations Research and Management Science Society/Korean Institute of Industrial Engineers, Jeju, South Korea, Jun. 2022.
Minyoung Lee, Eunbi Kim (co-advising with Prof. T. Cheong), and Joonyup Eun. Machine Learning-Based ICU Readmission Prediction and its Operational Consequences: Study on the MIMIC-IV Database. Spring Conference of Korea Productivity Association, Seoul, South Korea, May 2022.
Kangwook Kim, Eunbi Kim (co-advising with Prof. T. Cheong), and Joonyup Eun. Machine Learning-based Model for Aircraft Climb Speed to Minimize Fuel Consumption. Fall Conference of Korea Productivity Association, Seoul, South Korea, Nov. 2021.
Joo Young Chun , Hyung Joo Cha, Joonyup Eun, and In-Chan Choi. Quantum-Inspired Genetic Algorithm for 0-1 Knapsack Problems. Fall Conference of Korean Institute of Industrial Engineers, Seoul, South Korea, Nov. 2021.
Hyung Joo Cha, DongKyun Kim, Joonyup Eun, and Taesu Cheong. Ground Vehicle And Unmanned Aerial Vehicle Cooperative Delivery With Mothership Charging. INFORMS Annual Meeting , Anaheim, CA, USA, Oct. 2021.
Eunbi Kim (co-advising with Prof. T. Cheong), Kap Su Han, Taesu Cheong, Sung Woo Lee, Su Jin Kim, and Joonyup Eun. Analysis on Costs and Benefits of Machine Learning-based Early Hospitalization Prediction. INFORMS Annual Meeting , Anaheim, CA, USA, Oct. 2021.
Hyung Joo Cha, Taesu Cheong, and Joonyup Eun. A Sequence-Dependent Traveling Salesman Problem in Outbound Logistics. IFORS 2021 Virtual, Seoul, South Korea, Aug. 2021.
Eunbi Kim (co-advising with Prof. T. Cheong), Taesu Cheong, and Joonyup Eun. Prediction and Early Hospitalization to Reduce Emergency Department Length of Stay. IFORS 2021 Virtual, Seoul, South Korea, Aug. 2021.
Joohang Kang, Nakyung Kim, Byungil Choi, Ahram Jeon, and Joonyup Eun. The Adjacent Distance Based Assignment Heuristic for Cooperative Traveling Salesman Problems. Summer Conference of Korean Society for Innovation Management and Economics, Jeju, South Korea, Jul. 2021.
Byungil Choi, Joohang Kang, and Joonyup Eun. A Smart Logistics Station that Simultaneously Operates Heterogeneous Unmanned Delivery Vehicles. Summer Conference of Korean Society for Innovation Management and Economics, Jeju, South Korea, Jul. 2021.
Joohang Kang, Ahram Jeon, Byungil Choi, Nakyung Kim, Joonyup Eun, and Taesu Cheong. Drone-Truck Hybrid Delivery Model Considering Returns. Spring Conference of Korean Institute of Industrial Engineers, Jeju, South Korea, Jun. 2021.
Hyung Joo Cha, Taesu Cheong, and Joonyup Eun. Load-Reliant Traveling Salesman Problem for HAZMAT Delivery. Spring Conference of Korean Institute of Industrial Engineers, Jeju, South Korea, Jun. 2021.
Byungil Choi, Joohang Kang, and Joonyup Eun. Drone and Delivery Robot Station Model for Last-Mile Delivery. Spring Conference of Korean Institute of Industrial Engineers, Jeju, South Korea, Jun. 2021.
Ahram Jeon, Joohang Kang, and Joonyup Eun. Path Optimization for Logistic Services Using Unmanned Aerial Vehicle. Fall Conference of Korea Productivity Association, Seoul, South Korea, Nov. 2020.
Chaehong Lim, and Joonyup Eun. Supply Chain Optimization Strategy for a Mature Product: a Case Study of Cationic Reagent, Fall Conference of Korea Productivity Association, Seoul, South Korea, Nov. 2020.
Hyung Joo Lee, Yun Hwangbo, and Joonyup Eun. Angel Educational Program Design Using Kano-QFD. Fall Conference of Korea Productivity Association, Seoul, South Korea, Nov. 2020.
Ahram Jeon, Joohang Kang, and Joonyup Eun. Drone Last-Mile Delivery Considering Backhauls. The 22nd Korean Academic Society of Business Administration Convergence Conference, Incheon, South Korea, Aug. 2020.
Joonyup Eun, Vikram Tiwari, Mitchell H. Tsai, Max W. Breidenstein, and Warren S. Sandberg. Anesthesiologist Staffing for Non-Operating Room Procedural Services: A Stochastic Approach. Spring Conference of Korean Operations Research and Management Society, Gwangju, South Korea, Apr. 2019.
Joonyup Eun, Vikram Tiwari, Mitchell H. Tsai, Max W. Breidenstein, and Warren S. Sandberg. Integrated Routing and Scheduling of Anesthesiologists to Off-Locations. INFORMS Annual meeting, Phoenix, AZ, USA, Nov. 2018.
Joonyup Eun, Vikram Tiwari, Max W. Breidenstein, Warren S. Sandberg, and Mitchell H. Tsai. Assignment of Anesthesiologists to Non-Operating Room Sites. POMS Annual Conference, Houston, TX, USA, May 2018.
Joonyup Eun, Vikram Tiwari, and Warren S. Sandberg. Is More Information Always Better in Predicting Daily Surgical Case Volume?. INFORMS Annual Meeting, Houston, TX, USA, Oct. 2017.
Joonyup Eun, Vikram Tiwari, and Warren S. Sandberg. Evaluating Usefulness of Information Quality in Predicting Daily Surgical Volume. INFORMS Healthcare Conference, Rotterdam, Netherlands, July 2017.
Joonyup Eun, Vikram Tiwari, and Warren S. Sandberg. A Method to Predict Day-of-Surgery Case Volume Months in Advance. POMS Annual Conference, Seattle, WA, USA, May 2017.
Joonyup Eun, Sang-Phil Kim, and Yuehwern Yih. Elective Surgery Scheduling Considering Patient Health Condition. INFORMS Annual Meeting, Nashville, TN, USA, Nov. 2016.
Joonyup Eun, and Eun-Seok Kim. Scheduling of Maximizing Total Job Value with Job Selection. European Conference on Operational Research, Poznan, Poland, Jul. 2016.
Chul Hun Choi, Joonyup Eun, Seokcheon Lee, and Fu Zhao. By-project Metal (Indium) Refinery Facility Expansion Planning Using a MILP. IIE Annual Conference & Expo, Anaheim, CA, USA, May 2016.
Joonyup Eun, Sang-Phil Kim, and Yuehwern Yih. Elective Surgery Scheduling for Multiple Operating Rooms Considering Patient Health Condition. INFORMS Annual Meeting, Philadelphia, PA, USA, Nov. 2015.
Joonyup Eun, and Eun-Seok Kim. Scheduling of Maximizing Total Job Value with Machine Availability Constraint. INFORMS Annual Meeting, Philadelphia, PA, USA, Nov. 2015.
Joonyup Eun, Sang-Phil Kim, and Yuehwern Yih. Scheduling for Elective Surgery under Uncertainty Considering Patient Health Condition. INFORMS Healthcare Conference, Nashville, TN, USA, July 2015.
Joonyup Eun, Sang-Phil Kim, and Yuehwern Yih. Elective Surgery Scheduling to Improve Patient Safety. INFORMS Annual Meeting, San Francisco, CA, USA, Nov. 2014.

Poster Presentations

Joonyup Eun, Vikram Tiwari, Max W. Breidenstein, Warren S. Sandberg, and Mitchell H. Tsai. Optimal Algorithm for Assignment of Anesthesiologists to Non-Operating Room Sites. International Anesthesia Research Society Annual Meeting, Washington, D.C., USA, May 2017.

Proceedings

Joonyup Eun, Chang Sup Sung, and Eun-Seok Kim. Single Machine Scheduling to Maximize Total Job Value Subject to Machine Availability Constraint. In: Proceedings of the Korean Institute of Industrial Engineers Annual Conference, Seoul, South Korea, Nov. 2008.

Professional Activities

Track Organizer and Chair in Conferences

Industrial Engineering and Operations Management conference, Washington, DC, USA, Sep. 2018 (Track Title: Healthcare Operations and Services)

Session Organizer and Chair in Conferences

Spring Conference of Korea Institute of Industrial Engineers/Korean Operations Research and Management Science Society, Jeju, South Korea, Jun. 2023 (Session Title: G6 4th Industrial Revolution/Industrial Artificial Intelligence 16)
Spring Conference of Korea Productivity Association, Seoul, South Korea, May 2023 (Session Title: Session 02)
Spring Conference of Korean Operations Research and Management Science Society/Korea Institute of Industrial Engineers, Jeju, South Korea, Jun. 2022 (Session Title: G11 Industrial Artificial Intelligence 6)
Spring Conference of Korean Institute of Industrial Engineers, Jeju, South Korea, Jun. 2021 (Session Titles: G4 Production/Logistics, H4 Production/Logistics)
Spring Conference of Korean Operations Research and Management Society, Gwangju, South Korea, Apr. 2019 (Session Title: Mathematical Optimization Theory and Applications)
INFORMS Annual Meeting, Phoenix, AZ, USA, Nov. 2018 (Session Title: Managing Capacity of Surgical and Procedural Areas)
INFORMS Annual Meeting, Houston, TX, USA, Oct. 2017 (Session Title: Managing Surgical and Inpatient Capacity)
POMS Annual Conference, Seattle, WA, USA, May 2017 (Session Title: Operating Rooms and Hospital Staff Scheduling )

Student Poster Competition Organizer in Symposium

Vanderbilt Data Science Symposium, Nashville, TN, USA, Mar. 2018

Roundtable Discussion Leader

Synapse Mini-Conference by the POMS College of Healthcare Operations, Seattle, WA, USA, May 2017 (Discussion Topic: Assignment of Anesthesiologists to Non-Operating Room Anesthesia Cases)

Teaching Experience

Course Instructor at Korea University

I am currently teaching MOT662 Systems Optimization Theory and Applications and MOT669 Process Management for Spring, and

MOT666 Systems Simulation and MOT664 Bio-Industry Analytics for Fall.

Course Instructor at Purdue University

Guest Lecturer at Vanderbilt University

MGT 6017 (MBA course) Healthcare Operational Decision Making with Analytics, Mar. 20, 2017 (Lecture Topic: Normality and Data Transformation)

Teaching Assistant at Purdue University

Honors/Awards/Scholarships

The Estus H. and Vashti L. Magoon Award for Excellence in Teaching, Purdue University (2016)
Summer Purdue Research Foundation Grant, Purdue University (2015)
The Estus H. and Vashti L. Magoon Award for Excellence in Teaching, Purdue University (2015)
The Estus H. and Vashti L. Magoon Award for Excellence in Teaching, Purdue University (2013)
The Songhyun Prize (award to one distinguished graduate of Industrial and Systems Engineering), KAIST (2009)
National Scholarships (full tuition support for graduate study at KAIST), South Korea (2007)
Semester High Honors, Best Honors Scholarships (full tuition support), Korea University (2005)

Google Sites

Report abuse