Ju-Yong Lee

Assistant Professor

Changwon National University

South Korea

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Ju-Yong Lee is an Assistant Professor at Kangwon National University in South Korea. His research areas include digital twin-based cyber-physical systems, scheduling algorithms for manufacturing processes, and machine learning applications in semiconductor manufacturing. His recent publications explore topics such as resilient production operations, makespan minimization, and production planning in supply chain contexts.

Articles (13)

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2025

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2025

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2024

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2024

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2023

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2022

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2022

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (2)

Kyu-Tae Park

Assistant Professor

Seoul National University

SOUTH KOREA

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Jun-hee Han

Assistant Professor

Pusan National University

SOUTH KOREA

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Ju-Yong Lee

Research Interests

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About

Articles (13)

A digital twin-based cyber-physical system for resilient short-term equipment leasing

Scheduling for two stages with a single machine and a job shop

Models and P4R asset description for digital twin-based advanced planning and scheduling using cyber-physical integration for resilient production operation

Machine learning-based dispatching for a wet clean station in semiconductor manufacturing

Genetic algorithm-based approach for makespan minimization in a flow shop with queue time limits and skip-ping jobs

Scheduling for a flow shop with waiting time constraints and missing operations in semiconductor manufacturing

Scheduling for a flow shop with waiting time constraints and missing operations in semiconductor manufacturing

Heuristics for a Two-Stage Assembly-Type Flow Shop with Limited Waiting Time Constraints

Metaheuristics for a Flow Shop Scheduling Problem with Urgent Jobs and Limited Waiting Times

Production Planning Problem of a Two-Level Supply Chain with Production-Time-Dependent Products

A Genetic Algorithm for a Two-Machine Flowshop with a Limited Waiting Time Constraint and Sequence-Dependent Setup Times

Real Time Algorithms for Scheduling Problem in Unplanned Firing Operation

Heuristic Algorithms for a Two-Machine Flowshop Scheduling Problem with Urgent Jobs and Sequence-Dependent Setup Times

Collaborators (2)

Kyu-Tae Park

Jun-hee Han

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