Yongkuk Jeong (정용국)

About Yongkuk Jeong (정용국)

Yongkuk Jeong (정용국), With an exceptional h-index of 13 and a recent h-index of 11 (since 2020), a distinguished researcher at Kungliga Tekniska högskolan, specializes in the field of Production Logistics, Digital Twin, DES Simulation.

His recent articles reflect a diverse array of research interests and contributions to the field:

From novice to expert: advancing step-by-step simulation guideline for urban logistics with an open-source simulation tool

Integrating Smart Production Logisticswith Network Diagrams: A Frameworkfor Data Visualization

Beyond the Lab: Exploring the Socio-Technical Implications of Machine Learning in Biopharmaceutical Manufacturing

Data Preparation for AI-Assisted Video Analysis in Manual Assembly Task: A Step Towards Industry 5.0

Data flow structure for multimodal human-robot collaboration in material handling

Enabling industrial internet of things-based digital servitization in smart production logistics

Implementing transmission of data for digital twins in human-centered cyber-physical systems

Digitalization in Production Logistics: How AI, Digital Twins, and Simulation Are Driving the Shift from Model-based to Data-driven Approaches

Yongkuk Jeong (정용국) Information

University

Position

Assistant Professor Dept. of Sustainable Production Development

Citations(all)

404

Citations(since 2020)

329

Cited By

156

hIndex(all)

13

hIndex(since 2020)

11

i10Index(all)

15

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Yongkuk Jeong (정용국) Skills & Research Interests

Production Logistics

Digital Twin

DES Simulation

Top articles of Yongkuk Jeong (정용국)

From novice to expert: advancing step-by-step simulation guideline for urban logistics with an open-source simulation tool

The International Journal of Logistics Management

2024/1/5

Integrating Smart Production Logisticswith Network Diagrams: A Frameworkfor Data Visualization

2024

Beyond the Lab: Exploring the Socio-Technical Implications of Machine Learning in Biopharmaceutical Manufacturing

2023/9/14

Data Preparation for AI-Assisted Video Analysis in Manual Assembly Task: A Step Towards Industry 5.0

2023/9/14

Data flow structure for multimodal human-robot collaboration in material handling

2023/6/19

Enabling industrial internet of things-based digital servitization in smart production logistics

International Journal of Production Research

2023/5

Implementing transmission of data for digital twins in human-centered cyber-physical systems

Procedia CIRP

2023/1/1

Digitalization in Production Logistics: How AI, Digital Twins, and Simulation Are Driving the Shift from Model-based to Data-driven Approaches

International Journal of Precision Engineering and Manufacturing-Smart Technology

2023

Characterizing digital dashboards for smart production logistics

2022/9/17

IIoT-Enabled Digital Services for Maintenance Planning in Smart Production Logistics Using Maintenance Opportunity Window

2022/5/17

An optimization model with stochastic variables for flexible production logistics planning

arXiv preprint arXiv:2203.17033

2022/3/31

A STEP-BY-STEP GUIDELINE TO OVERCOME CHALLENGES MODELLING URBAN LOGISTICS SCENARIOS USING SUMO

Symposium on Logistics

2022

A Rubric for Implementing Explainable AI in Production Logistics

2022/9/19

Digital twin-based services and data visualization of material handling equipment in smart production logistics environment

2022/9/17

Digital twin-based services for smart production logistics

2021/12/12

Developing a holistic decision support framework: From production logistics to sustainable freight transport in an urban environment

Transportation Research Interdisciplinary Perspectives

2021/12/1

Applying Machine Learning for Adaptive Scheduling and Execution of Material Handling in Smart Production Logistics

2021/8/31

Digital twin testbed and practical applications in production logistics with real-time location data

International Journal of Industrial Engineering and Management

2021/6/30

Analysis on Hull Block Erection Process Considering Variability

Journal of Ship Production and Design

2021/5/10

Assessment framework of smart shipyard maturity level via data envelopment analysis

Sustainability

2021/2/11

See List of Professors in Yongkuk Jeong (정용국) University(Kungliga Tekniska högskolan)

Co-Authors

academic-engine