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Duck Young Kim

Pohang University of Science and Technology · 工学

研究室紹介

Professor Duck Young Kim's research lab specializes in sustainable systems engineering, with a focus on intelligent design, decision support systems, and energy-efficient technologies. The lab develops advanced simulation and optimization models for complex industrial systems, particularly in food processing, thermoelectrics, and urban infrastructure. Key research directions include collaborative product design, supplier configuration, intelligent parking systems, and fault detection in industrial processes. The lab emphasizes data-driven, model-based methodologies to enhance system resilience, resource efficiency, and sustainability in real-world applications.

decision support systemssupplier configurationthermoelectric materialsintelligent transportation systemssustainable manufacturing

Research Overview

Papers
70
Total Citations
826
Papers (5y)
13
Primary Field
工学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
13total
2020
2021
2022
2023
2024
Citations per year (5y)
67total
20202021202220232024

Selected Papers

15
1
Article|73 citations·2019
A modular factory testbed for the rapid reconfiguration of manufacturing systems
Duck Young Kim, Jin Woo Park, Seung Jae Baek, Kibog Park, H.-R. Kim, Ji-Young Park, H.-S. Kim, Bosung Kim, Hansol Oh, Kichang Namgung, Woonhyuk Baek
SJR Q1Journal of Intelligent Manufacturing
Industrial and Manufacturing EngineeringEngineering
2
Article|64 citations·2013
Correlation analysis of the variation of weld seam and tensile strength in laser welding of galvanized steel
Amit Kumar Sinha, Duck Young Kim, Dariusz Ceglarek
SJR Q1Optics and Lasers in Engineering
Mechanical EngineeringEngineering
3
Article|34 citations·2011
Supplier selection problem revisited from the perspective of product configuration
Duck Young Kim, Stephan M. Wagner
SJR Q1International Journal of Production Research

Collaboration with suppliers is essential for developing and producing a competitive product and it begins with selecting the right suppliers. This article addresses the supplier selection problem from the perspective of product configuration. We discuss first how the conventional decision models of supplier selection should be extended, considering the fact that supplier configuration requires supplier selection for each subsystem of a product. We then highlight the need to consider interrelati

Management Science and Operations ResearchDecision Sciences
4
Article|25 citations·2008
CO2DE: a decision support system for collaborative design
Duck Young Kim, Paul Xirouchakis
SJR Q2Journal of Engineering DesignOA

This paper introduces an easy-to-use decision support system for COllabOrative DEsign named CO2DE. We examine the system particularly for the design concept filtering and selection stages considering the importance of conceptual design although the proposed framework can facilitate a design task, which is recurrent in many design phases. First, the paper briefly reviews what methods can be applicable to each step of the conceptual design process, and then describes the prerequisites for mathemat

Artificial IntelligenceComputer Science
5
Article|20 citations·2018
Enhanced Thermoelectric Properties in a New Silicon Crystal Si24 with Intrinsic Nanoscale Porous Structure
Kisung Chae, Seoung‐Hun Kang, Seon-Myeong Choi, Duck Young Kim, Young‐Woo Son
SJR Q1Nano LettersOA

Thermoelectric device is a promising next-generation energy solution owing to its capability to transform waste heat into useful electric energy, which can be realized in materials with high electric conductivities and low thermal conductivities. A recently synthesized silicon allotrope of Si<sub>24</sub> features highly anisotropic crystal structure with nanometer-sized regular pores. Here, based on first-principles study without any empirical parameter we show that the slightly doped Si<sub>24

Materials ChemistryMaterials Science
6
book|17 citations·2022
Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action
Duck Young Kim, Gregor von Cieminski, David Romero
SJR Q3IFIP advances in information and communication technologyOA
Industrial and Manufacturing EngineeringEngineering
7
Article|13 citations·2018
Abrupt variance and discernibility analyses of multi-sensor signals for fault pattern extraction
Sujeong Baek, Duck Young Kim
SJR Q1Computers & Industrial EngineeringOA
Control and Systems EngineeringEngineering
8
Article|12 citations·2017
A Dynamic Information-Based Parking Guidance for Megacities considering Both Public and Private Parking
Jong-Ho Shin, Namhun Kim, Hong-Bae Jun, Duck Young Kim
SJR Q2Journal of Advanced TransportationOA

The constantly increasing number of cars in the megacities is causing severe parking problems. To resolve this problem, many cities adopt parking guidance system as a part of intelligent transportation system (ITS). However, the current parking guidance system stays in its infant stage since the obtainable information is limited. To enhance parking management in the megacity and to provide better parking guidance to drivers, this study introduces an intelligent parking guidance system and propos

Building and ConstructionEngineering
9
Article|7 citations·2018
Characterization of System Status Signals for Multivariate Time Series Discretization Based on Frequency and Amplitude Variation
Woonsang Baek, Sujeong Baek, Duck Young Kim
SJR Q1SensorsOA

Many fault detection methods have been proposed for monitoring the health of various industrial systems. Characterizing the monitored signals is a prerequisite for selecting an appropriate detection method. However, fault detection methods tend to be decided with user's subjective knowledge or their familiarity with the method, rather than following a predefined selection rule. This study investigates the performance sensitivity of two detection methods, with respect to status signal characteris

Signal ProcessingComputer Science
10
Article|6 citations·2018
Plant Location Selection for Food Production by Considering the Regional and Seasonal Supply Vulnerability of Raw Materials
Jin Woo Park, Ha Young Oh, Duck Young Kim, Yong Ju Cho
SJR Q2Mathematical Problems in EngineeringOA

A production capacity analysis considering market demand and raw materials is very important to design a new plant. However, in the food processing industry, the supply uncertainty of raw materials is very high, depending on the production site and the harvest season, and further, it is not straightforward to analyze too complex food production systems by using an analytical optimization model. For these reasons, this study presents a simulation-based decision support model to select the right l

Industrial and Manufacturing EngineeringEngineering
11
Article|6 citations·2016
The Effects of Laser Welding Direction on Joint Quality for Non-Uniform Part-to-Part Gaps
Rocku Oh, Duck Young Kim, Darek Ceglarek
SJR Q2MetalsOA

Controlling part-to-part gaps is a crucial task in the laser welding of galvanized steel sheets for ensuring the quality of the assembly joint. However, part-to-part gaps are frequently non-uniform. Hence, elevations and depressions from the perspective of the heading direction of the laser beam always exist throughout the gap, creating ascending, descending, and flat travelling paths for laser welding. In this study, assuming non-uniform part-to-part gaps, the effects of welding direction on th

Mechanical EngineeringEngineering
12
Article|5 citations·2022
Auto-calibration of robot workcells via remote laser scanning
Jee-Su Park, K.H. Min, Duck Young Kim
SJR Q1Robotics and Computer-Integrated Manufacturing
Aerospace EngineeringEngineering
13
Article|4 citations·2006
Compatibility Measurement in Collaborative Conceptual Design
Duck Young Kim, Ahmed Bufardi, Paul Xirouchakis
SJR Q1CIRP Annals
Computer Networks and CommunicationsComputer Science
14
Article|3 citations·2020
An in-Process Inspection System to Detect Noise Originating from within the Interior Trim Panels of Car Doors
Woonsang Baek, Duck Young Kim
SJR Q1SensorsOA

Car body parts are sometimes responsible for irritating noise caused by assembly defects. Typically, various types of noise are known to originate from within the interior trim panels of car doors. This noise is considered to be an important factor that degrades the emotional satisfaction of the driver of the car. This research suggests an in-process inspection system consisting of an inspection workstation and a noise detection method. The inspection workstation presses down the car door trim p

Signal ProcessingComputer Science
15
Article|2 citations·2018
Defect state and severity analysis using discretized state vectors
Sujeong Baek, Woonsang Baek, Daeil Kwon, Duck Young Kim
SJR Q2Journal of Mechanical Science and Technology
Control and Systems EngineeringEngineering

Research Areas

Industrial and Manufacturing EngineeringControl and Systems EngineeringMechanical EngineeringSignal ProcessingMechanics of MaterialsAerospace Engineering

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