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

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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
  improvement.
• Become a primary source of state-of-the-art
  advances in quality engineering research and
  practice.
• Provide the working environment of dedicated
  faculty and graduate students motivating
  excellence, innovation, and professional
  integrity.

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Adviser

• 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
Quality
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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
• ??? ????

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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
• ??? ????

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Graduate Students
Jin-Bum Yook, M.S. Candidates

• Research Interests
• Six sigma
• Service Quality Engineering
• ??, ??, ??

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Alumni
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Alumni

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

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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!!!
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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

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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
publication)
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
example.
Keywords Quality management Dispersion effect
Location effect Multiresponse optimization
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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
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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
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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
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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.

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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.

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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
Motivation
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
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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
enhancement
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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
processes
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
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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
Investigator)
Objectives Developing a six-sigma
quality improvement model for steel manufacturing
processes
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
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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
  Investigator.
• 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,
  Investigator.

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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
  Investigator.
• 04/99 - 03/00
• Service Quality Level in the Information and
  Telecommunications Industry Evaluation and
  Improvement Plans, POSTECH Information Research
  Laboratories(PIRL), Principal Investigator.

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Selected Projects (3/3)

• 10/98 - 09/00
• Improving the Usefulness of QFD, MOST, Principal
  Investigator.
• 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
  Investigator.
• 08/92 - 08/93
• Spreadsheet Decision Support System for QFD,
  Center for the Management of Manufacturing
  Enterprises, Purdue University, Principal
  Investigator

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Quality
Quality is not banners.
It is not speeches.
It is hard work. -Kearns