82542798249 Voice - PowerPoint PPT Presentation

1 / 24
About This Presentation

82542798249 Voice


... to Affective Satisfaction,' Human Factors and Ergonomics in Manufacturing. ... Model Generating System for Ergonomic Automobile Interior Design and Package ... – PowerPoint PPT presentation

Number of Views:33
Avg rating:3.0/5.0
Slides: 25
Provided by: jeongch
Tags: ergonomics | voice


Transcript and Presenter's Notes

Title: 82542798249 Voice

  • 82-54-279-8249 (Voice)
  • 82-54-279-2870 (Fax)
  • http//kayak.postech.ac.kr

Vision of QE Lab.
Develop world-class graduates and research
results in the field of quality engineering.
  • Play a leadership role in basic and applied
    research in product and service quality
  • Become a primary source of state-of-the-art
    advances in quality engineering research and
  • Provide the working environment of dedicated
    faculty and graduate students motivating
    excellence, innovation, and professional

  • Professor Kwang-Jae Kim

B.S. in Industrial Engineering, Seoul National
University (1984.2) M.S. in Industrial
Engineering, KAIST (1986.2) Ph.D. in Management
Science, Purdue University (1993.8) Assistant
Professor, Department of Industrial and
Manufacturing Engineering, Pennsylvania State
University (1994.61997.6) Assistant and
Associate Professor, Department of Industrial
Engineering, POSTECH (1997.72005.2) Professor,
Department of Industrial Engineering, POSTECH
(2005.3present) Research and Teaching
Interests Quality Engineering/Management
New Product/Service Design and Evaluation
Process Design and Optimization e-Business
Graduate Students
In-Jun Chung, Ph.D. Candidate
  • Research Interests
  • Service Quality Engineering
  • Service and Service Process Design
  • Multiple Criteria Decision Making (MCDM)
  • Fuzzy Set Modeling
  • ??? ??? ??? ??.

Myeong-Soo Lee, Ph.D. Candidate
  • Research Interests
  • Quality improvement based on data-driven
    statistical approaches
  • Real-time feedback/feed forward monitoring and
    control based on data
  • ??? ????

Graduate Students
Dae-Kee Min, Ph.D. Candidate
  • Research Interests
  • Quality Function Deployment (QFD)
  • Product/Service Design
  • RD Management
  • ????? ???

Deok-Hwan Kim, Ph.D. Candidate
  • Research Interests
  • Quality Function Deployment (QFD)
  • Service Quality Engineering
  • ??? ????

Graduate Students
Jin-Bum Yook, M.S. Candidates
  • Research Interests
  • Six sigma
  • Service Quality Engineering
  • ??, ??, ??

  • Professor Kim was the advisor of 2 Ph.D. and 6
    M.S. graduates at Pennsylvania State University.

Research Goal
Bridging the gap between the theoretical modeling
and the practice by equipping quality
engineering professionals with the proper
methodological tools
Improved Competitive Power
Application in Practice
Real Problem
Theoretical Modeling
Quality is the key to enterprises survival!!!
Research Area
New Product/Service Design
Process Design
  • QFD
  • Product/Service Design Evaluation
  • Product Architecture Mass
  • Customization
  • RD Management
  • 6 Sigma Program
  • Process Design Optimization
  • Service Quality System

Product/Service Quality Improvement
e-Business Quality
Process Control
  • Quality of Data/Information
  • Data Mining
  • e-Business Quality
  • Process Monitoring and Diagnosis
  • Adaptive Process Control
  • Real-time Integration of Process Control System

Recent Publications (1/4)
Kim, K. and Lin, D., "Optimization of Multiple
Responses Considering Both Location and
Dispersion Effects," European Journal of
Operational Research, 2004.(Accepted for
An integrated modeling approach to simultaneously
optimizing both the location and dispersion
effects of multiple responses is proposed. The
proposed approach aims to identify the setting of
input variables to maximize the overall minimal
satisfaction level with respect to both location
and dispersion of all the responses. The proposed
approach overcomes the common limitation of the
existing multiresponse approaches, which
typically ignore the dispersion effect of the
responses. Several possible variations of the
proposed model are also discussed. Properties of
the proposed approach are revealed via a real
Keywords Quality management Dispersion effect
Location effect Multiresponse optimization
Recent Publications (2/4)
Jeong, I. and Kim, K., "D-STEM A Modified Step
Method with Desirability Function Concept,"
Computers and Operations Research, 2004.(Accepted
for publication)
Step method (STEM) is one of the well-known
multi-objective optimization techniques. STEM has
proven to be effective in extracting a decision
maker (DM)s preference information for a
satisfactory compromise. However, it has been
criticized for not considering the differing
degrees of satisfaction associated with an
objective function value, and for not providing
flexible options in the process of preference
information extraction. This paper proposes a
modified STEM, called D-STEM, to overcome the
methodological limitations of STEM. D-STEM
utilizes the concept of a desirability function
to realistically model the differing degrees of
satisfaction. D-STEM also allows a DM to choose
either tightening or relaxation, which makes the
preference articulation process more efficient
and effective. The advantages of D-STEM are
demonstrated through an illustrative example.
Keywords Multi-objective optimization,
Progressive preference articulation,
Step Method (STEM), Desirability function,
Tightening, Relaxation
Recent Publications (3/4)
Cho, H. and Kim, K., "Fault Diagnosis of Batch
Processes Using Discriminant Model,"
International Journal of Production Research.
Vol. 42, No. 3, 597-612, February 2004.
A new statistical online diagnosis method for a
batch process is proposed. The proposed method
consists of two phases offline model building
and online diagnosis. The offline model building
phase constructs an empirical model, called a
discriminant model, using various past batch
runs. When a fault of a new batch is detected,
the online diagnosis phase is initiated. The
behaviour of the new batch is referenced against
the model, developed in the offline model
building phase, to make a diagnostic decision.
The diagnosis performance of the proposed method
is tested using a dataset from a PVC batch
process. It has been shown that the proposed
method outperforms existing PCA-based diagnosis
methods, especially at the onset of a fault.
Keywords Fault Diagnosis, Batch Process,
Discriminant Model
Recent Publications (4/4)
Kim, K., Cho, H., Jeong, I., and Lim, I., "A
Synopsis of Recent Methodological Enhancements on
Quality Function Deployment," International
Journal of Industrial Engineering, Vol. 10, No.
4, 462-466, 2003.
Quality Function Deployment (QFD) is a concept
and mechanism for translating the voice of the
customer through the various stages of product
planning, engineering, and manufacturing into an
final product. Notwithstanding the rapid growth
of the QFD literature, development of systematic
procedures for an effective use of QFD has
scarcely been addressed. In this paper, we first
review the limitations of the existing QFD
framework, and then present a synopsis of the
recent methodological enhancement on QFD.
Keywords Quality Function Deployment(QFD),
House of Quality(HOQ), Consistency, Complexity
Selected Publications(1/2)
  • Park, K. and Kim, K., "Optimizing Multi-Response
    Surface Problems How to Use Multi-Objective
    Optimization Techniques," IIE Transactions,
    2004.(Accepted for publication)
  • Ko, Y., Kim, K., and Jun, C., "A New Loss
    Function- Based Method for Multiresponse
    Optimization," Journal of Quality Technology,
    2004.(Accepted for publication)
  • Han, S., Kim, K., Yun, M., Hong, S., and Kim, J.,
    "Identifying Mobile Phone Design Features
    Critical to Affective Satisfaction," Human
    Factors and Ergonomics in Manufacturing. Vol. 14,
    No. 1, 15-29, 2004.
  • Cho, H. and Kim, K., "Handling Data Insufficiency
    Problem in Diagnosing Batch Processes,"
    International Journal of Reliability, Quality,
    and Safety Engineering, Vol. 10, No. 2, 171-184,
    June 2003.
  • Jeong, I. and Kim, K., "Interactive Desirability
    Function Approach to Multi-Response Surface
    Optimization," International Journal of
    Reliability, Quality, and Safety Engineering,
    Vol. 10, No. 2, 205-217, June 2003.
  • Cho, H., Kim, K., "A Method for Predicting Future
    Observations in the Monitoring of a Batch
    Process," Journal of Quality Technology, Vol. 35,
    No.1, 59-69, 2003.

Selected Publications(2/2)
  • Yi, G., Shin, J., Cho, H., and Kim, K., "Quality
    Oriented Shop Floor System for Large Scale
    Manufacturing Processes Functional Framework and
    Experimental Results," Journal of Manufacturing
    Systems, Vol. 21, No. 3, 187-199, 2002.
  • Kim, K., Han, S., Yun, M., and Kwahk, J., "A
    Systematic Procedure for Modeling Usability Based
    on Product Design Variables A Case Study in
    Audio-Visual Consumer Electronic Products,"
    International Journal of Occupational Safety and
    Ergonomics, Vol. 8, No. 3, 387-406, 2002.
  • Shin, J., Kim, K., and Chandra, M. J.,
    "Consistency Check of a House of Quality Chart,"
    International Journal of Quality and Reliability
    Management, Vol. 19, No. 4, 471-484, 2002.
  • Kim, K. and Lin, D., "Simultaneous Optimization
    of Mechanical Properties of Steel by Maximining
    Exponential Desirability Functions," Applied
    Statistics (Journal of the Royal Statistical
    Society - Series C), Vol. 49, 311-325, 2000.
  • Shin, J. and Kim, K., "Effect and Choice of the
    Weighting Scale in QFD," Quality Engineering,
    Vol. 12, No. 3, 347-356, 2000.
  • Shin, J. and Kim, K., "Complexity Reduction of a
    Design Problem in QFD Using Decomposition,"
    Journal of Intelligent Manufacturing, Vol. 11,
    No. 4, 339-354, 2000.

Recent Research Projects (1/4)
Path Analysis of Factors Associated with Service
Quality in Telecommunication Services Using
SEM (05/03 - 11/03 ETRI, Principal Investigator)
Objectives Modeling a causality relationship
among factors associated with the quality of
telecommunications services with a time-lag
consideration Developing a framework for an
effective service quality improvement
Severe competition in the high-speed internet
market Internal and external demand on service
quality improvement Needs on a quantitative
CVA framework for an effective improvement of
service quality
Achievements Analysis of a time-lag effect in
the network quality measure-CVA-customer loyalty
relationship Analysis of causality in the
network quality measure-CVA-customer loyalty
relationship with a time-lag consideration
Recent Research Projects (2/4)
Development of a Customer Value Added Enhancement
Framework for Telecommunication Services (05/02 -
11/02 ETRI, Principal Investigator)
Objectives Identifying critical quality
measures and quality activities to enhance
Customer Value Added (CVA) Developing a
path modeling and analysis framework for
effective CVA enhancement
Major Tasks Identifying and analyzing key
quality measures and quality activities using
Quality Function Deployment (QFD) Developing a
systematic framework for a path analysis between
CVAs and quality measures using Structural
Equation Modeling (SEM)
Achievements A QFD and SEM analysis
framework among CVAs, quality measures, and
quality activities A prototypic system
utilizing QFD and SEM results for strategic CVA
Recent Research Projects (3/4)
Integrated System for Real-time Process
Monitoring, Diagnosis, and Control Quality
Improvement for Batch Processes (10/01 - 09/03
Korea Research Foundation, Principal Investigator)
Objectives Developing an integrated, on-line
monitoring and diagnosis method for batch
Major Tasks Developing a new method for
predicting future observations Developing a new
diagnosis method using FDA (Fisher discriminant
analysis) Developing a modified FDA-based
diagnosis method to handle the insufficiency of
the fault data
Achievements An integrated empirical
model-based framework for on-line monitoring and
diagnosis of batch processes A case
study performed on a PVC batch process in a major
chemical company in Asia
Recent Research Projects (4/4)
Development of a Six-Sigma Improvement Model
Reducing the Variation of Tin Plates'
Hardness (07/99 - 02/00 POSCO, Principal
Objectives Developing a six-sigma
quality improvement model for steel manufacturing
Achievements Six sigma quality system manual
for steel manufacturing process Case study
results and recommendations on tin plates
hardness Excel-based software supporting
Analysis and Optimization phases of six sigma
quality system
Selected Projects (1/3)
  • 06/04 - 06/05
  • Identification of the Causal Relationship
    between Network Performance and Customer
    Satisfaction/Loyalty An Empirical Study on High
    Speed Internet Services, MIC, Korea, Principal
  • 11/99 - 10/06
  • Human-Centered Product Design, Ministry of
    Education, Investigator.
  • 05/03 - 11/03
  • Path Analysis of Factors Associated with
    Service Quality in Telecommunication Services
    Using SEM, ETRI, Korea.
  • 10/01 - 09/03
  • Integrated System for Real-time Process
    Monitoring, Diagnosis, and Control Quality
    Improvement for Batch Processes, Korea Research
    Foundation, Principal Investigator.
  • 11/02 - 04/03
  • Development of a Human Model Generating System
    for Ergonomic Automobile Interior Design and
    Package Layout in Virtual Environment, NGV,

Selected Projects (2/3)
  • 04/02 - 12/02
  • Development of a Customer Value Added
    Enhancement Framework for Telecommunication
    Services, ETRI, Principal Investigator.
  • 10/01 - 09/03
  • Integrated System for Real-time Process
    Monitoring, Diagnosis, and Control Quality
    Improvement for Batch Processes, Korea Research
    Foundation, Principal Investigator.
  • 03/01 - 12/01
  • Enhancing Customer Value Added in
    Internet-Based Telecommunication Services Using
    QFD, ETRI, Principal Investigator.
  • 07/99 - 02/00
  • Multiresponse Systems A State-of-the-Art Search
    and Comparative Study, Postech, Principal
  • 04/99 - 03/00
  • Service Quality Level in the Information and
    Telecommunications Industry Evaluation and
    Improvement Plans, POSTECH Information Research
    Laboratories(PIRL), Principal Investigator.

Selected Projects (3/3)
  • 10/98 - 09/00
  • Improving the Usefulness of QFD, MOST, Principal
  • 11/97 - 09/00
  • Improving the Usefulness of QFD, Postech,
    Principal Investigator.
  • 10/97 - 09/98
  • Evaluating the Usability of Electronic Products,
    MOST, Investigator.
  • 05/93 - 05/94
  • Development of a QFD Decision Support System
    (with H. Moskowitz), Microsoft Corp.,
    Co-Principal Investigator.
  • 08/92 - 08/93
  • Fuzzy Multicriteria Models for QFD, Purdue
    Research Foundation, Purdue University, Principal
  • 08/92 - 08/93
  • Spreadsheet Decision Support System for QFD,
    Center for the Management of Manufacturing
    Enterprises, Purdue University, Principal

Quality is not banners.
It is not speeches.
It is hard work. -Kearns
Write a Comment
User Comments (0)
About PowerShow.com