J
Je-Hun Lee
Researcher at Sungkyunkwan University
Publications - 9
Citations - 109
Je-Hun Lee is an academic researcher from Sungkyunkwan University. The author has contributed to research in topics: Linear search & Random search. The author has an hindex of 3, co-authored 8 publications receiving 48 citations. Previous affiliations of Je-Hun Lee include KAIST.
Papers
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Journal ArticleDOI
Digital twin-based cyber physical production system architectural framework for personalized production
TL;DR: This study focuses on the digital twin as a core technological element of the entire system and analyzes CPPS design and its operation from the system-of-systems perspective and provides an advanced solution for the personalized production of various products.
Proceedings ArticleDOI
A framework for performance analysis of dispatching rules in manufacturing systems
TL;DR: This work provides a framework for the performance analysis of dispatching rules so that engineers can examine the KPIs for a given order of dispatch rules and find the best order of dispatch rules.
Journal ArticleDOI
A Sequential Search Method of Dispatching Rules for Scheduling of LCD Manufacturing Systems
TL;DR: A sequential search method using a decision tree approach and a hierarchical clustering method to efficiently search for weights in a short period of time by eliminating some sub-spaces that are less likely to have good objective values.
Proceedings ArticleDOI
A sequential search framework for selecting weights of dispatching rules in manufacturing systems
TL;DR: This work develops a sequential search framework, with simulation and decision trees, which can generate a good weight set of dispatching rules within a short period of time and shows that the proposed search method performs better than a random search by performing experiments with real fab data.
Book ChapterDOI
Assembly Line Worker Assignment and Balancing Problem with Positional Constraints
TL;DR: In this article, two mathematical programming models are proposed to assign workers and tasks when new products are introduced and when a worker is absent or leaves a position temporary, respectively, and the experimental results show the efficiency of the proposed methods.