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โ€ฃ

2026

์ œ์กฐ ๋ฌผ๋ฅ˜ ๋ณ‘๋ชฉ์„ ๊ณ ๋ คํ•œ AMR ํŠธ๋ž™ ๋ ˆ์ด์•„์›ƒ ์ž๋™ ์„ค๊ณ„
San KwonYoung Jae Jang

๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ 2026 ์ถ˜๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Gyeongju, Korea

3D Shuttle ๊ธฐ๋ฐ˜ ์ž๋™ํ™”์ฐฝ๊ณ  ํ™˜๊ฒฝ์—์„œ์˜ ์ž‘์—…์ž ์ถฉ๋Œ์œ„ํ—˜ ํŒ๋‹จ ํ”„๋ ˆ์ž„์›Œํฌ
Hyeseo YoonYoung Jae Jang

๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ 2026 ์ถ˜๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Gyeongju, Korea

๋ฌด์ธ ์šด๋ฐ˜์ฐจ ์‹œ์Šคํ…œ์—์„œ์˜ ๊ต์ฐฉ ์ƒํƒœ ์˜ˆ๋ฐฉ ๊ฒฝ๋กœ ํƒ์ƒ‰
ChangHyun ChungYoung Jae Jang

ํ•œ๊ตญCDEํ•™ํšŒ 2026 ๋™๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Jeju, Korea

๊ณต์žฅ CAD ์ด๋ฏธ์ง€ ๊ธฐ๋ฐ˜์˜ AMR ๋ ˆ์ด์•„์›ƒ ์ž๋™ ์ƒ์„ฑ ์—ฐ๊ตฌ
San KwonYoung Jae Jang

ํ•œ๊ตญCDEํ•™ํšŒ 2026 ๋™๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Jeju, Korea

Double Deep Rank ๊ตฌ์กฐ์˜ ๋‹จ์ผ SKU Carrier์— ๋Œ€ํ•œ Schedule-Aware Storage Location Assignment ์ตœ์ ํ™”
Hyunjae LeeYoung Jae Jang

๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ 2026 ์ถ˜๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Gyeongju, Korea

Advancing Manufacturing Process Education for Industry 4.0: A Multi-Case Study
Muhammad Umar FarooqYoung Jae Jang

Computer Applications in Engineering Education, vol. 34, p. e70136

Heterogeneous multi-agent fleet control system for material handling in a Software-Defined Factory
Muhammad Umar FarooqYoung Jae Jang

Journal of Manufacturing Systems, vol. 85, pp. 513-530

โ€ฃ

2025

A Study on Routing Improvement for Priority Lots in OHT Systems
Sungwoo ParkYoung Jae Jang

ํ•œ๊ตญ CDEํ•™ํšŒ 2025 ๋™๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Pyeongchang, Korea

Hybrid Control System for Autonomous Mobile Robots in Manufacturing: Integrating Centralized Control and Decentralized Control
Soyoung BangYoung Jae Jang

ํ•œ๊ตญ CDEํ•™ํšŒ 2025 ๋™๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Pyeongchang, Korea

OHT ์‹œ์Šคํ…œ์—์„œ์˜ ์šฐ์„  ์ฒ˜๋ฆฌ ๋กœํŠธ ์‹ ์† ์šด์†ก์„ ์œ„ํ•œ ๊ฐ•ํ™”ํ•™์Šต ๊ธฐ๋ฐ˜ Q(ฮป)-Routing ์ „๋žต
Sungwoo ParkYoung Jae Jang

๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ, ํ•œ๊ตญ๊ฒฝ์˜๊ณผํ•™ํšŒ, ํ•œ๊ตญ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•™ํšŒ 2025 ์ถ˜๊ณ„๊ณต๋™ํ•™์ˆ ๋Œ€ํšŒ

Jeju, Korea

Anomaly Detection and Health State Monitoring through Cluster-Based Operational State Identification in OHT Systems
Sanguk ImYoung Jae Jang

ํ•œ๊ตญ CDEํ•™ํšŒ 2025 ๋™๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Pyeongchang, Korea

Development and Case Study of a Single-Crane Task Allocation System for Secondary Battery Formation Process
Hyunjae LeeYoung Jae Jang

ํ•œ๊ตญ CDEํ•™ํšŒ 2025 ๋™๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Pyeongchang, Korea

Multi-modal ํ™˜๊ฒฝ์—์„œ์˜ MCS ๊ด€์  ๊ธฐ๋ฐ˜ ๋ฐ˜๋„์ฒด Fab ๋ฌผ๋ฅ˜ ์šด์˜ ์ตœ์ ํ™”
Hyunjae LeeYoung Jae Jang

๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ 2025 ์ถ”๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Daejon, Korea

๋ฐ˜๋„์ฒด ํŒน ๋‚ด OHT ์œ ํœด ์ฐจ๋Ÿ‰์˜ ๋™์  ๋Œ€๊ธฐ ์œ„์น˜ ๊ฒฐ์ •์„ ์œ„ํ•œ k-Median ๊ธฐ๋ฐ˜ ์•Œ๊ณ ๋ฆฌ์ฆ˜
Jaeung LeeYoung Jae Jang

๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ, ํ•œ๊ตญ๊ฒฝ์˜๊ณผํ•™ํšŒ, ํ•œ๊ตญ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•™ํšŒ 2025 ์ถ˜๊ณ„๊ณต๋™ํ•™์ˆ ๋Œ€ํšŒ

Jeju, Korea

ํ•˜๋“œ์›จ์–ด ์ œ์•ฝ์„ ๋ฐ˜์˜ํ•œ AGV ์‹œ์Šคํ…œ์˜ ์ถฉ๋Œ ์˜ˆ๋ฐฉ ๊ฒฝ๋กœ ์ตœ์ ํ™”
ChangHyun ChungYoung Jae Jang

๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ, ํ•œ๊ตญ๊ฒฝ์˜๊ณผํ•™ํšŒ, ํ•œ๊ตญ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•™ํšŒ 2025 ์ถ˜๊ณ„๊ณต๋™ํ•™์ˆ ๋Œ€ํšŒ

Jeju, Korea

ALNS ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ํ™œ์šฉํ•œ ๋‹ค์ค‘ ์ ์žฌ ๋ฌผ๋ฅ˜ ๋ฐ˜์†ก ์‹œ์Šคํ…œ ์šด์˜ ์ตœ์ ํ™”
Sungwook JangYoung Jae Jang

๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ, ํ•œ๊ตญ๊ฒฝ์˜๊ณผํ•™ํšŒ, ํ•œ๊ตญ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•™ํšŒ 2025 ์ถ˜๊ณ„๊ณต๋™ํ•™์ˆ ๋Œ€ํšŒ

Jeju, Korea

์ œ์กฐ ๋ฌผ๋ฅ˜ ์‹œ์Šคํ…œ์—์„œ์˜ AMR์˜ ํ•˜์ด๋ธŒ๋ฆฌ๋“œ ์ œ์–ด ์ „๋žต: ํœด๋ฆฌ์Šคํ‹ฑ ๊ธฐ๋ฐ˜ ์šฐํšŒ ์˜์‚ฌ๊ฒฐ์ • ์ตœ์ ํ™”
Soyoung BangYoung Jae Jang

๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ, ํ•œ๊ตญ๊ฒฝ์˜๊ณผํ•™ํšŒ, ํ•œ๊ตญ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•™ํšŒ 2025 ์ถ˜๊ณ„๊ณต๋™ํ•™์ˆ ๋Œ€ํšŒ

Jeju, Korea

Node-based navigation system for multiple mobile robot control on a shop floor
Muhammad Umar FarooqYoung Jae Jang

ICARA

Zagreb, Croatia

Hybrid Control Method for Autonomous Mobile Robot (AMR) in Manufacturing Logistics Systems
Soyoung BangYoung Jae Jang

WSC

Seattle, Washington, United States

Mathematical and Simulation-Based Analysis of Multiple-Load Mobile Transport Systems in Semiconductor Manufacturing
Sungwook JangYoung Jae Jang

ASMC

Albany, New York, United States

Bridging the Gap Between Business Users and Optimization: a Novel LLM-Powered Interactive Framework for Production Planning
Lennard HeuerYoung Jae Jang

INFORMS Annual Meeting

Atlanta, Georgia, United States

Simulation-based Evaluation of Idle Vehicle Positioning Problem on Logistics Performance in OHT Systems
Sungwook JangJaeung LeeYoung Jae Jang

ASMC

Albany, New York, United States

Proactive Hot Lot Routing for OHT Systems in Semiconductor FAB
Sungwook JangSungwoo ParkYoung Jae Jang

WSC

Seattle, Washington, United States

Health Index-based Risk-aware Dispatching for Overhead Hoist Transport Systems in Semiconductor Fab
Sanguk ImYoung Jae Jang

WSC

Seattle, Washington, United States

Autonomous Robot Orchestration Solution for OHT With Active Q Routing and Digital Twin
JaeHo Lee

IEEE Transactions on Semiconductor Manufacturing, vol. 38, pp. 404-412

โ€ฃ

2024

์ด์ฐจ์ „์ง€ ์ œ์กฐ ๊ณต์ •์—์„œ์˜ ์ปจ๋ฒ ์ด์–ด์™€ OHT ์‹œ์Šคํ…œ ๋น„๊ต
Tae Hoon KimYoung Jae Jang

ํ•œ๊ตญ CDEํ•™ํšŒ 2024 ๋™๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Pyeongchang, Korea

์ž๋™ํ™” ๋ฌผ๋ฅ˜ ์‹œ์Šคํ…œ ์ฐจ๋Ÿ‰ ๊ฐ„ ์ƒํ˜ธ ์ž‘์šฉ์„ ๊ณ ๋ คํ•œ ์ด๋ฒคํŠธ ๊ธฐ๋ฐ˜ ๋ชจ๋ธ๋ง ๋ฐ ์ด์‚ฐ์‚ฌ๊ฑด์‹œ๋ฎฌ๋ ˆ์ด์…˜
Jaeung LeeYoung Jae Jang

2024๋…„ ๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ(KIIE) ์ถ˜๊ณ„๊ณต๋™ํ•™์ˆ ๋Œ€ํšŒ

Yeosu, Korea

Probabilistic Roadmap ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ํ™œ์šฉํ•œ AGV์™€ AMR ์‹œ์Šคํ…œ์˜ ํšจ์œจ์„ฑ ๋น„๊ต ์—ฐ๊ตฌ
Gyuho LeeYoung Jae Jang

ํ•œ๊ตญ CDEํ•™ํšŒ 2024 ๋™๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Pyeongchang, Korea

๊ทธ๋ž˜ํ”„ ๋„คํŠธ์›Œํฌ ๊ด€์ ์—์„œ์˜ OHT ์„ ๋กœ ๋ ˆ์ด์•„์›ƒ ์„ค๊ณ„ ์ตœ์ ํ™” ์—ฐ๊ตฌ
Tae Hoon KimYoung Jae Jang

2024๋…„ ๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ(KIIE) ์ถ”๊ณ„๊ณต๋™ํ•™์ˆ ๋Œ€ํšŒ

Seoul, Korea

Optimization Study on the Introduction of OHT Systems in the Rechargeable Battery Production Process
Tae Hoon KimYoung Jae Jang

2024๋…„ ๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ(KIIE) ์ถ˜๊ณ„๊ณต๋™ํ•™์ˆ ๋Œ€ํšŒ

Yeosu, Korea

๊ณต์žฅ ๋ ˆ์ด์•„์›ƒ์— ๋”ฐ๋ฅธ AGV์™€ AMR ์‹œ์Šคํ…œ ํšจ์œจ์„ฑ ๋น„๊ต ์—ฐ๊ตฌ
Gyuho LeeYoung Jae Jang

2024๋…„ ๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ(KIIE) ์ถ˜๊ณ„๊ณต๋™ํ•™์ˆ ๋Œ€ํšŒ

Yeosu, Korea

AGV ์ถฉ์ „ ํ™˜๊ฒฝ ๋ฐ ์šด์˜ ์ตœ์ ํ™”๋ฅผ ์œ„ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ชจ๋ธ ์ œ์•ˆ
Nakjoon ImYoung Jae Jang

2024๋…„ ๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ(KIIE) ์ถ˜๊ณ„๊ณต๋™ํ•™์ˆ ๋Œ€ํšŒ

Yeosu, Korea

AGV ์ถฉ์ „ ์šด์˜ ์—ฐ๊ตฌ๋ฅผ ์œ„ํ•œ ์ด์‚ฐ ์‚ฌ๊ฑด ์‹œ๋ฎฌ๋ ˆ์ด์…˜
Nakjoon ImYoung Jae Jang

ํ•œ๊ตญ CDEํ•™ํšŒ 2024 ๋™๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Pyeongchang, Korea

Autonomous Robot Orchestration Solution for OHT with Machine Learning and Digital Twin
JinHyeok ParkDongHwi ShinSangPyo HongIllHoe HwangSeol HwangJaeHo LeeJaeung LeeYoung Jae Jang

2024 35th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)

Albany, United States

Digital Twin Based Dynamic Routing for Overhead Hoist Transport Systems in Semiconductor FAB
Japhne FerdinandzYoung Jae Jang

WSC

Orlando, Florida, United States

Concept of Digital Twins for Autonomous Manufacturing through Virtual Learning and Commissioning
Young Jae Jang

WSC

Orlando, Florida, United States

Integrating Large Language Models into Production Planning: A Framework for Simulation-Based Optimization
Lennard HeuerYoung Jae Jang

INFORMS

Seattle, United States

Short-Term Travel Time Prediction Model for OHT Systems in Semiconductor Fabs
JaeHo LeeYoung Jae Jang

IEEE CASE

Bari, Italy

Case Study on Efficient Material Handling System Through Task Assignment Based on the Health Status of OHT and AMR
Tae Hoon KimYoung Jae Jang

2024 STOCHMOD Conference

Milan, Italy

Dynamic Multiple-Load Mobile Transport Operation in Semiconductor Fab
Sungwook JangYoung Jae Jang

WSC

Orlando, Florida, United States

Idle Vehicle Allocation Problem in Automated Material Handling Systems: A Case Study in Rechargeable Battery Production
Jaeung LeeYoung Jae Jang

WSC

Orlando, Florida, United States

DAIM-HRI: A New Human-Robot Integration Technology for Industries
Muhammad Umar Farooq

2024 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)

Hong Kong, China

Markov Decision Process Approach for Battery Charging of an Automated Guided Vehicle
MinSeok LeeIllHoe HwangSungwook JangNakjoon ImYoung Jae Jang

Ubiquitous Robots

New York, United States

Autonomous Manufacturing with a Massive Fleet of Material Handling Robots
Tae Hoon KimYoung Jae Jang

2024 SMMSO Conference

Naples, Italy

Autonomous Robot Orchestration Solution for OHT with Machine Learning and Digital Twin FA: Factory Automation
JinHyeok Park

2024 35th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)

Albany, United States

Deadlock Prevention and Multi Agent Path Finding Algorithm Considering Physical Constraint for a Massive Fleet AGV System
ChangHyun ChungYoung Jae Jang

Applied Soft Computing, vol. 161, p. 111725

โ€ฃ

2023

ALNS ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ํ™œ์šฉํ•œ ๋‹ค์ค‘ ์ ์žฌ ์ฐจ๋Ÿ‰ ์Šค์ผ€์ค„๋ง
Sungwook JangYoung Jae Jang

2023๋…„ ๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ ์ถ˜๊ณ„๊ณต๋™ํ•™์ˆ ๋Œ€ํšŒ

Korea

๋ฐ˜๋„์ฒด FAB ๋‚ด ๋ฌผ๋ฅ˜ ์ž๋™ํ™” ์‹œ์Šคํ…œ์ด ์ƒ์‚ฐ ๋Šฅ๋ ฅ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ ๋ถ„์„
DongHwi ShinYoung Jae Jang

ํ•œ๊ตญ CDEํ•™ํšŒ 2023 ๋™๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Korea

๊ณต์ • ๋‚ด ๋ฌผ๋ฅ˜ ๋ฐ˜์†ก ์‹œ์Šคํ…œ์ด ์ƒ์‚ฐ ์ฒ˜๋ฆฌ๋Ÿ‰์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ ๋ถ„์„: ์žฌ๊ณตํ’ˆ์˜ ์ฆ๊ฐ€์— ๋”ฐ๋ผ ์ƒ์‚ฐ ์ฒ˜๋ฆฌ๋Ÿ‰์€ ์ •๋ง ์ˆ˜๋ ดํ•˜๋Š”๊ฐ€?
MinSoo KimYoung Jae Jang

ํ•œ๊ตญ CDEํ•™ํšŒ 2023 ๋™๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Korea

์ด์ฐจ์ „์ง€ ์ œ์กฐ ๊ณต์ •์—์„œ์˜ ์ปจ๋ฒ ์ด์–ด์™€ OHT ์‹œ์Šคํ…œ ๋น„๊ต ๋ถ„์„
Tae Hoon KimYoung Jae Jang

2023๋…„ ๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ ์ถ”๊ณ„๊ณต๋™ํ•™์ˆ ๋Œ€ํšŒ

Korea

์ œ์กฐ ๋ฌผ๋ฅ˜ ๋กœ๋ด‡ AGV/AMR์˜ ์ถฉ๋Œ ๋ฐฉ์ง€ ์˜ˆ๋ฐฉ ๊ฒฝ๋กœ ์„ค๊ณ„ ์ž๋™ํ™”
ChangHyun ChungYoung Jae Jang

2023๋…„ ๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ ์ถ”๊ณ„๊ณต๋™ํ•™์ˆ ๋Œ€ํšŒ

Korea

์ž์œจ์ œ์กฐ ๊ฐœ๋…๊ณผ ์‹ค์ฆ ์‚ฌ๋ก€
Young Jae Jang

ํ•œ๊ตญ CDEํ•™ํšŒ 2023 ํ•˜๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Pyeongchang, Korea

OHT ์ด์ƒ์ƒํƒœ ์ธก์ •์„ ์œ„ํ•œ ๋ ˆ์ด์•„์›ƒ ๋‚ด ํŠธ๋ž™ ์„ ์ • ๋ฐ ์Šค์ผ€์ค„๋ง ์—ฐ๊ตฌ
Sejong LimYoung Jae Jang

2023๋…„ ๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ ์ถ˜๊ณ„๊ณต๋™ํ•™์ˆ ๋Œ€ํšŒ

Korea

์ค‘์†Œ๊ธฐ์—… ์ž์œจ์ƒ์‚ฐ์„ ์œ„ํ•œ ๋Œ€๊ทœ๋ชจ ์–ธ์–ด ๋ชจ๋ธ๊ณผ ๋กœ๋ด‡ ๊ณตํ•™
Young Jae Jang

ํ•œ๊ตญ CDEํ•™ํšŒ 2023 ํ•˜๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Pyeongchang, Korea

์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•œ ๋‹ค์ˆ˜์˜ ์ž‘์—…๋ฌผ์˜ ์ ์žฌ๊ฐ€ ๊ฐ€๋Šฅํ•œ ๋ฌผ๋ฅ˜ ๋ฐ˜์†ก ์‹œ์Šคํ…œ ๋ถ„์„
Sungwook JangYoung Jae Jang

2023๋…„ ๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ ์ถ”๊ณ„๊ณต๋™ํ•™์ˆ ๋Œ€ํšŒ

Korea

์ž์œจ์ œ์กฐ ๊ธฐ๋ฐ˜ ๊ตฐ์ง‘ ๋กœ๋ด‡ ์ œ์–ด ๋ฐ ์šด์˜์—ฐ๊ตฌ
Young Jae Jang

ํ•œ๊ตญ CDEํ•™ํšŒ 2023 ํ•˜๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Pyeongchang, Korea

์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ๋””์ง€ํ„ธํŠธ์œˆ ์ฐจ์ด ๋ฐ ์ž์œจ์ œ์กฐ์˜ ์—ญํ• 
SangPyo HongYoung Jae Jang

ํ•œ๊ตญ CDEํ•™ํšŒ 2023 ํ•˜๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Pyeongchang, Korea

์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ธฐ๋ฐ˜ ์ž๋™ํ™” ์ฐฝ๊ณ  ์ €์žฅ์†Œ ํ• ๋‹น ์—ฐ๊ตฌ
Jaeung LeeYoung Jae Jang

ํ•œ๊ตญ CDEํ•™ํšŒ 2023 ๋™๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Korea

์ฃผํ–‰ ์‹œ๊ฐ„ ์˜ˆ์ธก ๋ชจ๋ธ์„ ํ™œ์šฉํ•œ OHT ์‹œ์Šคํ…œ ๋™์  ๊ฒฝ๋กœ ํ• ๋‹น ์•Œ๊ณ ๋ฆฌ์ฆ˜
JaeHo LeeYoung Jae Jang

2023๋…„ ๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ ์ถ˜๊ณ„๊ณต๋™ํ•™์ˆ ๋Œ€ํšŒ

Korea

์ œ์กฐ ๋ฌผ๋ฅ˜ ๋กœ๋ด‡์—์„œ์˜ ๋Œ€๊ทœ๋ชจ ์–ธ์–ด ๋ชจ๋ธ ํ™œ์šฉ๊ณผ ๋กœ๋ด‡ ํ˜‘์—… ์ธํ„ฐํŽ˜์ด์Šค ๊ตฌ์ถ•์„ ํ†ตํ•œ ์ œ์กฐ ์ž๋™ํ™”
Young Jae Jang

ํ•œ๊ตญ CDEํ•™ํšŒ 2023 ํ•˜๊ณ„ํ•™์ˆ ๋Œ€ํšŒ

Pyeongchang, Korea

Sequential Decision-Making Framework for Robotic Mobile Fulfillment System-Based Automated Kitting System
Jaeung Lee

2023 Winter Simulation Conference (WSC)

โ€ฃ

2022

Industry Case Semiconductor Fab OHT Management System and Digital Twin for OHT Operation
SangPyo HongYoung Jae Jang

2022 Winter Simulation Conference (WSC)

Discrete Lot-Sizing Problem of Single Machine Based on Reinforcement Learning Approach
Taejong ParkYoung Jae Jang

2022 International Symposium on Semiconductor Manufacturing Intelligence (ISMI)

The Graph Neural Networkโ€“Based Dynamic Routing Algorithm for Overhead Hoist Transport Vehicles in Semiconductor Fabrication Plants
JaeHo LeeYoung Jae Jang

2022 International Symposium on Semiconductor Manufacturing Intelligence (ISMI)

Storage Assignment Problem for Automated Warehouse in Manufacturing Systems
Sungwook JangYoung Jae Jang

2022 International Symposium on Semiconductor Manufacturing Intelligence (ISMI)

Anomaly Detection for OHT System in Semiconductor Fab
JiYoon Myung

2022 Winter Simulation Conference (WSC)

Education System for Automated Material Handling System Design with Digital Twin and LEGO Robotics
Young Jae Jang

2022 International Symposium on Semiconductor Manufacturing Intelligence (ISMI)

Deadlock Avoidance Dynamic Routing Algorithm for a Massive Bidirectional Automated Guided Vehicle System
KangMin KimChangHyun ChungYoung Jae Jang

2022 Winter Simulation Conference (WSC)

A Conditional Recurrent Autoencoder for Anomaly Detection in Overhead Hoist Transport Systems According to Their Operational State
JiYoon MyungYoung Jae Jang

2022 International Symposium on Semiconductor Manufacturing Intelligence (ISMI)

A Dynamic Programming-Based Heuristic Algorithm for a Flexible Job Shop Scheduling Problem of a Matrix System in Automotive Industry
MinSoo Kim

2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)

Performance Evaluation of Conveyor-less Matrix Assembly System Using Simulation and Mathematical Models
MinSoo Kim

2022 ASME International Mechanical Engineering Congress & Exposition (IMECE)

The AGV Battery Swapping Policy Based on Reinforcement Learning
MinSeok LeeYoung Jae Jang

2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)

Practical Q-Learning-Based Route-Guidance and Vehicle Assignment for OHT Systems in Semiconductor Fabs
SangPyo HongIllHoe HwangYoung Jae Jang

IEEE Transactions on Semiconductor Manufacturing, vol. 35, no. 3, pp. 385-396

โ€ฃ

2021

์ž์œจ์ฃผํ–‰ ์ž๋™์ฐจ์—์„œ ์ œ์–ด๊ถŒ ์ „ํ™˜ ์‹œ ์šด์ „์ž, ์ฐจ๋Ÿ‰, ํ™˜๊ฒฝ ๋ฐ์ดํ„ฐ์— ๊ธฐ๋ฐ˜ํ•œ ๋ณตํ•ฉ ์ฃผํ–‰ ์•ˆ์ • ํŒ๋‹จ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ์ œ์•ˆ ๋ฐ ๊ฒ€์ฆ
JinHyeok ParkMinSeok LeeYoung Jae Jang

ํ•œ๊ตญ CDE ํ•™ํšŒ ๋…ผ๋ฌธ์ง‘ 26.1, 70-80

Modeling Individual Differences in Driver Workload Inference Using Physiological Data

International Journal of Automotive Technology, vol. 22, pp. 201-212

โ€ฃ

2020

Q (ฮป) Learning-Based Dynamic Route Guidance Algorithm for Overhead Hoist Transport Systems in Semiconductor Fabs
IllHoe HwangYoung Jae Jang

International Journal of Production Research, vol. 58, no. 4, pp. 1199-1221

Breaking Moravec's Paradox: Visual-Based Distribution in Smart Fashion Retail
ShinWoong Sung

arXiv preprint arXiv:2007.09102

Artificial Intelligence in Manufacturing and Logistics Systems: Algorithms, Applications, and Case Studies

International Journal of Production Research, vol. 58, no. 9, pp. 2730-2731

Machine Learning Based Evolutionary Algorithms and Optimization for Transportation and Logistics

Computers & Industrial Engineering, vol. 143, p. 106372

Effects of 3D Virtual โ€˜Try-Onโ€™ on Online Sales and Customersโ€™ Purchasing Experiences

IEEE Access, vol. 8, pp. 189479-189489

โ€ฃ

2019

Track Layout Design Accommodating Dynamic Routing
JunHui LeeYoung Jae Jang

AOTULE 2019 Conference

Tokyo, Japan

Massive Vehicle Fleet Control for Mass Customizable Production Line with Artificial Intelligence (AI) and Cyber Physical System (CPS) Technologies
SangPyo HongIllHoe HwangYoung Jae Jang

25th International Conference on Production Research 2019

Chicago, USA

An Optimization Model for AGV Scheduling with Battery Charging
MinSoo KimYoung Jae Jang

INFORMS Annual Meeting 2019

Seattle, USA

Efficient Design of an Operation Profile for Wireless Charging Electric Tram Systems
Young Jae Jang

Computers & Industrial Engineering, vol. 127, pp. 1193-1202

โ€ฃ

2018

๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜ ์ง€๋Šฅํ˜• ์ž๋™ ๋ฐ˜์†ก ์‹œ์Šคํ…œ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๊ฐœ๋ฐœ
IllHoe Hwang

ie ๋งค๊ฑฐ์ง„ 25.2, 26-30

Charging Automation for Electric Vehicles: Is a Smaller Battery Good for the Wireless Charging Electric Vehicles?
SeungMin Jeong

IEEE Transactions on Automation Science and Engineering, vol. 16, no. 1, pp. 486-497

Survey of the Operation and System Study on Wireless Charging Electric Vehicle Systems
Young Jae Jang

Transportation Research Part C: Emerging Technologies, vol. 95, pp. 844-866

Heuristic for the Assort-Packing and Distribution Problem in the Fashion Apparel Industry
ShinWoong SungYoung Jae Jang

International Journal of Production Research, vol. 56, no. 9, pp. 3116-3133

Overhead Shuttle Design for a Flat Panel Display Production Line Considering the Contactless Power Supply Capacity
IllHoe HwangHakYoung ChoiYoung Jae Jang

Computers & Industrial Engineering, vol. 126, pp. 232-242

Characterizing Driver Stress Using Physiological and Operational Data from Real-World Electric Vehicle Driving Experiment

International Journal of Automotive Technology, vol. 19, pp. 895-906

Location Planning for Dynamic Wireless Charging Systems for Electric Airport Passenger Buses

Energies, vol. 11, no. 2, p. 258

โ€ฃ

2017

์‹ ์„ฑ E&G ์ตœ์ ํ™” ๋ฐ ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๋ฐ˜์†ก ์‹œ์Šคํ…œ ๊ฐœ๋ฐœ๊ณผ ํ˜ผํ•ฉํ˜„์‹ค ๊ธฐ๋ฐ˜ ์œ ์ง€๋ณด์ˆ˜ ์—ฐ๊ตฌ
Young Jae Jang

ie ๋งค๊ฑฐ์ง„ 24.3, 26-32

์Šคํฌ์ธ  ์• ๋„๋ฆฌํ‹ฑ์Šค-์‚ฐ์—…๊ณตํ•™์˜ ์ƒˆ๋กœ์šด ๊ธฐํšŒ
Young Jae Jang

ie ๋งค๊ฑฐ์ง„ 24.1, 29-35

Image-Based Inventory Distribution System for Fashion Products Using Convolutional Neural Network
ShinWoong Sung

INFORMS Annual Meeting 2017

Houston, USA

Strategic Airline Operation Considering the Carbon Constrained Air Transport Industry
Young Jae Jang

Journal of Air Transport Management, vol. 62, pp. 1-9

System Optimization for Dynamic Wireless Charging Electric Vehicles Operating in a Multiple-Route Environment
IllHoe Hwang

IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 6, pp. 1709-1726

Business Analytics for Streamlined Assort Packing and Distribution of Fashion Goods at Kolon Sport
ShinWoong Sung

Interfaces, vol. 47, no. 6, pp. 555-573

Process Mining to Discover Shoppersโ€™ Pathways at a Fashion Retail Store Using a WiFi-Base Indoor Positioning System
IllHoe HwangYoung Jae Jang

IEEE Transactions on Automation Science and Engineering, vol. 14, no. 4, pp. 1786-1792

โ€ฃ

2016

์ฝ”์˜ค๋กฑ์ธ๋”์ŠคํŠธ๋ฆฌ FnC ์™€ KAIST ์˜ ๋ฐฐ๋ถ„ ์ตœ์ ํ™” ์‚ฌ๋ก€์—ฐ๊ตฌ
ShinWoong SungYoung Jae Jang

ie ๋งค๊ฑฐ์ง„ 23.2, 56-60

Stochastic Energy Transfer Model for Wireless Charging Electric Vehicle and Experimental Validation
Young Jae Jang

IIE Annual Conference & Expo

CA, United States

System Analysis of Wireless Charging Electric Vehicle for Urban Transport
Young Jae Jang

The 28th European Conference on Operational Research

Poznan, Poland

What Makes Sports Fans Interactive? Identifying Factors Affecting Chat Interactions in Online Sports Viewing

PloS One, vol. 11, no. 2, p. e0148377

Potential of IMU Sensors in Performance Analysis of Professional Alpine Skiers
GwangJae Yu

Sensors, vol. 16, no. 4, p. 463

Semiconductor FAB Layout Design Analysis with 300-mm FAB Data: โ€˜Is Minimum Distance-Based Layout Design Best for Semiconductor FAB Design?โ€™
JungHoon KimGwangJae YuYoung Jae Jang

Computers & Industrial Engineering, vol. 99, pp. 330-346

Lego Robotics Based Project for Industrial Engineering Education
Vina Sari YosephineYoung Jae Jang

International Journal of Engineering Education, vol. 32, no. 3, pp. 1268-1278

Initial Energy Logistics Cost Analysis for Stationary, Quasi-Dynamic, and Dynamic Wireless Charging Public Transportation Systems
SeungMin JeongMinSeok LeeYoung Jae Jang

Energies, vol. 9, no. 7, p. 483

โ€ฃ

2015

ํŠœํ† ๋ฆฌ์–ผ: ๋น…๋ฐ์ดํ„ฐ, ๋น„์ฆˆ๋‹ˆ์Šค ์• ๋„๋ฆฌํ‹ฑ์Šค, IoT: ๊ฒฝ์˜์˜ ์ƒˆ๋กœ์šด ๋„์ „๊ณผ ๊ธฐํšŒ
Young Jae Jang

์ •๋ณด์‹œ์Šคํ…œ์—ฐ๊ตฌ 24.4, 139-152

๋ฌด์ธ์šด์ „ ์ „๊ธฐ ์ž๋™์ฐจ์™€ ๋ฌด์„ ์ถฉ์ „ ๊ธฐ์ˆ  ๊ทธ๋ฆฌ๊ณ  ์‚ฐ์—…๊ณตํ•™์˜ ๊ธฐํšŒ
Young Jae Jang

ie ๋งค๊ฑฐ์ง„ 22.1, 28-34

๋ ˆ๊ณ  ๋งˆ์ธ๋“œ์Šคํ†ฐ์Šค (LEGO Mindstorms) ๋ฅผ ํ†ตํ•œ ์‚ฐ์—…๊ณตํ•™ ๊ต์œกํ˜์‹ 
Young Jae Jang

ie ๋งค๊ฑฐ์ง„ 22.4, 60-63

The Prepack Optimization: A Case Study of a Korean Fashion Retailer
ShinWoong SungYoung Jae Jang

INFORMS Annual Meeting 2015

Philadelphia, U.S.

System Design of AMHS Using Wireless Power Transfer (WPT) Technology for Semiconductor Wafer FAB
MinSeok LeeYoung Jae Jang

International Symposium on Semiconductor Manufacturing Intelligence 2015

Daejeon, South Korea

Case Study on Optimal Design of Wireless Charging Electric Vehicles
Young Jae Jang

Industry Applied Solution Session at IIE Annual Expo

Stochastic Energy Transfer Model for Wireless Charging Electric Vehicle and Experimental Validation
JaeRyong YeoYoung Jae Jang

The 2nd East Asia Workshop on Industrial Engineering (EAWIE)

Seoul, South Korea

Charging Efficiency Analysis of the Dynamic Charging Electric Vehicle
Young Jae Jang

INFORMS Annual Meeting 2015

Philadelphia, U.S.

Emerging Area in Urban Transportation System Research โ€“ Optimization and Analytics on Wireless Charging Electric Bus System
Young Jae Jang

INFORMS Transportation Science and Logistics Society Workshop

Berlin, Germany

New Opportunities in IE: Charger Allocation for Wireless Charging Electric Vehicle
Young Jae Jang

Industrial and Systems Engineering Research Conference (ISERC) at IIE Annual Expo

Manufacturing Systems Education with LEGO MINDSTORMS
Vina Sari YosephineYoung Jae Jang

The 2nd East Asia Workshop on Industrial Engineering (EAWIE)

Seoul, South Korea

Integrated IE Education Using LEGO Robotics
Young Jae Jang

Industrial and Systems Engineering Research Conference (ISERC) at IIE Annual Expo

System Architecture and Mathematical Models of Electric Transit Bus System Utilizing Wireless Power Transfer Technology
Young Jae Jang

IEEE Systems Journal, vol. 10, no. 2, pp. 495-506

Production Planning Method Using the Push-back Heuristic Algorithm: Implementation in a Micro Filter Manufacturer in South Korea
ShinWoong SungYoung Jae Jang

Industrial Engineering and Management Systems, vol. 14, no. 4, pp. 401-412

The Optimal Economic Design of the Wireless Powered Intelligent Transportation System Using Genetic Algorithm Considering Nonlinear Cost Function
MinSeok LeeYoung Jae Jang

Computers & Industrial Engineering, vol. 89, pp. 67-79

Economic Analysis of the Dynamic Charging Electric Vehicle
SeungMin JeongYoung Jae Jang

IEEE Transactions on Power Electronics, vol. 30, no. 11, pp. 6368-6377

System Optimization of the On-Line Electric Vehicle Operating in a Closed Environment
SeungMin JeongYoung Jae Jang

Computers & Industrial Engineering, vol. 80, pp. 222-235

Verification, Validation, and Accreditation (VV&A) Considering Military and Defense Characteristics
JungHoon Kim

Industrial Engineering and Management Systems, vol. 14, no. 1, pp. 88-93

โ€ฃ

2014

Floor Mix Optimization of Lucky Duck Entertainment to Maximize the Utilization of Floor Space
ShinWoong SungYoung Jae Jang

INFORMS Conference on Business Analytics & Operations Research

San Antonio, U.S.

Great Opportunity for Students in Business Analytics
ShinWoong SungYoung Jae Jang

SAS Special Session in INFORMS Annual Meeting 2014

San Francisco, U.S.

Analytical Estimation for OHT Vehicle Fleet Sizing Problem for Semiconductor Fab
JungHoon KimYoung Jae Jang

The 10th Annual IEEE International Conference on Automation Science and Engineering (IEEE CASE 2014)

Taipei, Taiwan

Creating Big Industry Success Cases Through Academic-Industry Collaboration in Business Analytics
ShinWoong SungYoung Jae Jang

INFORMS Annual Meeting 2014

San Francisco, U.S.

OR Education with LEGO Mindstorms EV3
Young Jae Jang

INFORMS Annual Meeting 2014

San Francisco, U.S.

Optimization on the Infrastructure of the Multiple Route On-Line Electric Vehicle System
IllHoe HwangYoung Jae Jang

The 10th Annual IEEE International Conference on Automation Science and Engineering (IEEE CASE 2014)

Taipei, Taiwan

โ€ฃ

2013

๊ตญ๋ฐฉ M&S ์˜ ํŠน์ง• ๋ถ„์„๊ณผ ์ด๋ฅผ ํ†ตํ•œ VV&A ๋ฐฉํ–ฅ
JungHoon Kim

๋Œ€ํ•œ์‚ฐ์—…๊ณตํ•™ํšŒ์ง€ 39.6, 486-497

The Optimal System Design of the Online Electric Vehicle Utilizing Wireless Power Transmission Technology
Young Jae Jang

IEEE Transactions on Intelligent Transportation Systems, vol. 14, no. 3, pp. 1255-1265

โ€ฃ

2012

์ œ์กฐ ๋ถ„์•ผ์—์„œ์˜ ๋น…๋ฐ์ดํ„ฐ ๊ธฐ์ˆ  ํ™œ์šฉ
Young Jae Jang

ํ•œ๊ตญํ†ต์‹ ํ•™ํšŒ์ง€ (์ •๋ณด์™€ํ†ต์‹ ) 29.11, 30-35

Optimal Design of Wireless Charging Electric Vehicle โ€“ Case Study
Young Jae Jang

INFORMS International Conference

Beijing, China

The Optimal Allocation of Charging Infrastructures for the Wireless Charging Electric Vehicle
Young Jae Jang

INFORMS Annual Meeting

Phoenix, United States

Innovative Green Transportation System-On-Line Electric Vehicle Applied to Airport Passenger Logistics
Young Jae Jang

International Information Institute (Tokyo). Information, vol. 15, no. 12C, pp. 6139-6153