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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Korean Institute of Industrial Engineers
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Korean Institute of Industrial Engineers
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Volume & Issues
Volume 39, Issue 6 - Dec 2013
Volume 39, Issue 5 - Oct 2013
Volume 39, Issue 4 - Aug 2013
Volume 39, Issue 3 - Jun 2013
Volume 39, Issue 2 - Apr 2013
Volume 39, Issue 1 - Feb 2013
Selecting the target year
The Taguchi Robust Design Method : Current Status and Future Directions
Yum, Bong-Jin ; Kim, Seong-Jun ; Seo, Sun-Keun ; Byun, Jai-Hyun ; Lee, Seung-Hoon ;
Journal of Korean Institute of Industrial Engineers, volume 39, issue 5, 2013, Pages 325~341
DOI : 10.7232/JKIIE.2013.39.5.325
During the past several decades, the Taguchi robust design method has been widely used in various fields successfully. On the other hand, some researchers and practitioners have criticized the method with respect to the way of utilizing orthogonal arrays, the signal-to-noise ratio as a performance measure, data analysis methods, etc., and proposed alternative approaches to robust design. This paper introduces the Taguchi method first, evaluates the validity of the criticisms, and discusses advantages and disadvantages of each alternative. Finally, research issues to be addressed for effective robust design are presented.
Methods and Applications of Dual Response Surface Optimization : A Literature Review
Lee, Dong-Hee ; Jeong, In-Jun ; Kim, Kwang-Jae ;
Journal of Korean Institute of Industrial Engineers, volume 39, issue 5, 2013, Pages 342~350
DOI : 10.7232/JKIIE.2013.39.5.342
Dual response surface optimization (DRSO), inspired by Taguchi's philosophy, attempts to optimize the process mean and variability by using response surface methodology. Researches on DRSO were extensively done in 1990's and have been matured recently. This paper reviews the existing DRSO methods from the decision making perspective. More specifically, this paper classifies the existing DRSO methods based on the optimization criterion and the timing of preference articulation. Also, some of case studies are reviewed. Extension to multiresponse optimization, triple response surface optimization, and application of data mining method are suggested as future research issues.
A Review on the Taguchi Method and Its Alternatives for Dynamic Robust Design
Kim, Seong-Jun ;
Journal of Korean Institute of Industrial Engineers, volume 39, issue 5, 2013, Pages 351~360
DOI : 10.7232/JKIIE.2013.39.5.351
Taguchi's robust design is a method for quality improvement by making a system insensitive to uncontrollable variations incurred by noise factors and it has received much attention in a wide range of engineering fields. Robust design can be broadly classified into static and dynamic ones. This paper is concerned with dynamic robust design. Taguchi suggested to use a signal-to-noise ratio as a robustness measure, but there has been much debate and criticism on its blind use. In order to cope with this drawback, many alternatives have been proposed. They are divided into performance measure modeling (PMM) and response function modeling (RFM) approaches. In this paper, both PMM and RFM approaches for dynamic robust design are reviewed. An example for illustration is provided as well.
A Study on Dual Response Approach Combining Neural Network and Genetic Algorithm
Arungpadang, Tritiya R. ; Kim, Young Jin ;
Journal of Korean Institute of Industrial Engineers, volume 39, issue 5, 2013, Pages 361~366
DOI : 10.7232/JKIIE.2013.39.5.361
Prediction of process parameters is very important in parameter design. If predictions are fairly accurate, the quality improvement process will be useful to save time and reduce cost. The concept of dual response approach based on response surface methodology has widely been investigated. Dual response approach may take advantages of optimization modeling for finding optimum setting of input factor by separately modeling mean and variance responses. This study proposes an alternative dual response approach based on machine learning techniques instead of statistical analysis tools. A hybrid neural network-genetic algorithm has been proposed for the purpose of parameter design. A neural network is first constructed to model the relationship between responses and input factors. Mean and variance responses correspond to output nodes while input factors are used for input nodes. Using empirical process data, process parameters can be predicted without performing real experimentations. A genetic algorithm is then applied to find the optimum settings of input factors, where the neural network is used to evaluate the mean and variance response. A drug formulation example from pharmaceutical industry has been studied to demonstrate the procedures and applicability of the proposed approach.
Determining the Level of A Noise Factor in Parameter Design for Smaller-the-better Characteristics
Yun, Won Young ; Seo, Sun-Keun ;
Journal of Korean Institute of Industrial Engineers, volume 39, issue 5, 2013, Pages 367~373
DOI : 10.7232/JKIIE.2013.39.5.367
In this article, we deal with a design problem for determining the levels of noise factors in the Taguchi method. First, the proposed levels by Taguchi method is reviewed in case of smaller-the-better performance characteristics. We obtain the optimal levels of noise factors minimizing the mean square error of SN(signal to Noise) ratio and compare the optimal levels with the levels proposed by Taguchi method under the first and second order models. Secondly, the concept of V-optimality is applied to determining the levels of noise factors.
Understanding Robust Design with Paper Helicopter Experiment
Byun, Jai-Hyun ; Kim, Yong Tae ; Lee, Min Ji ;
Journal of Korean Institute of Industrial Engineers, volume 39, issue 5, 2013, Pages 374~382
DOI : 10.7232/JKIIE.2013.39.5.374
Robust design method developed by Genichi Taguchi has been very popular since the 1980s and there have been many academic and applied research works on this topic. However, college students and engineers in companies have had difficulty in understanding the method. This paper presents a procedure to implement the robust design method by an easy-to-execute paper helicopter experiment. A crossed array was adopted, which consists of a resolution IV fractional factorial design with 6 control factors and a factorial design with 3 noise factors. Three performance measures were analyzed; signal-to-noise ratio, mean, and standard deviation of the falling time of the paper helicopter that is to be maximized. Control-noise interaction plots are also given to evaluate the degree of the sensitivity of each level of the control factors to the noise factors. The procedure presented in this paper can be helpful to those who want to have basic knowledge in the robust design method.
Case Studies on Strengths and Weaknesses of Taguchi Method
Kwon, Hyuck Moo ; Jang, Hyeon Ae ;
Journal of Korean Institute of Industrial Engineers, volume 39, issue 5, 2013, Pages 383~392
DOI : 10.7232/JKIIE.2013.39.5.383
Taguchi method is a technique widely used in industries to attain a reliable quality even under existence of various noise variables. Basically, it relies on the interactions between the controllable and the noise factors. Under insignificant interactions between the design parameters and noises, the effectiveness of Taguchi methodology will be doubtful. Furthermore, existence of strong interactions among controllable factors may undermine the power of Taguchi approach. An abundant crop may be expected by a well planned Taguchi approach. A well designed set of experiments is one of the important prerequisites for its successful result. For this, we must have a clear understanding on strengths and weaknesses of Taguchi methodology together with a sound knowledge on the applicable system. This study provides some insights on Taguchi approach based on two case examples of one successful and the other unsuccessful. Eventually, this research aims to facilitate deeper understanding and right application of Taguchi methodology in industries.
Performance Comparison of Mahalanobis-Taguchi System and Logistic Regression : A Case Study
Lee, Seung-Hoon ; Lim, Geun ;
Journal of Korean Institute of Industrial Engineers, volume 39, issue 5, 2013, Pages 393~402
DOI : 10.7232/JKIIE.2013.39.5.393
The Mahalanobis-Taguchi System (MTS) is a diagnostic and predictive method for multivariate data. In the MTS, the Mahalanobis space (MS) of reference group is obtained using the standardized variables of normal data. The Mahalanobis space can be used for multi-class classification. Once this MS is established, the useful set of variables is identified to assist in the model analysis or diagnosis using orthogonal arrays and signal-to-noise ratios. And other several techniques have already been used for classification, such as linear discriminant analysis and logistic regression, decision trees, neural networks, etc. The goal of this case study is to compare the ability of the Mahalanobis-Taguchi System and logistic regression using a data set.
Augmented Weighted Tchebycheff Modeling and Robust Design Optimization on a Drug Development Process
Ho, Le Tuan ; Shin, Sangmun ;
Journal of Korean Institute of Industrial Engineers, volume 39, issue 5, 2013, Pages 403~411
DOI : 10.7232/JKIIE.2013.39.5.403
The quality of the products/processes has been improved remarkably since robust design (RD) methodology is applied into the practice manufacturing processes. A model building method based on the dual responses methods for multiple and time oriented responses on a drug development process is employed in this paper instead of the previous methods that handle the static nature of data and single response. Subsequently, the optimal solutions of a multiple and time series RD problem are obtained by using the proposed augmented weighted Tchebycheff method that has a significant flexibility on assigning weights. Finally, a pharmaceutical case study associated with a generic drug development process is conducted in order to illustrate the efficient optimal solutions from the proposed model.
Identifying the Diffusion Patterns of Movies by Opening Strength and Profitability
Kim, Taegu ; Hong, Jungsik ;
Journal of Korean Institute of Industrial Engineers, volume 39, issue 5, 2013, Pages 412~421
DOI : 10.7232/JKIIE.2013.39.5.412
Motion picture industry is one of the most representative fields in the cultural industry and has experienced constant growth both worldwide and within domestic markets. However, little research has been undertaken for diffusion patterns of motion pictures, whereas various issues such as demand forecasting and success factor analysis have been widely explored. To analyze diffusion patterns, we adopted extended Bass model to reflect the potential demand of movies. Four clusters of selected movies were derived by k-means clustering method with criteria of opening strength and profitability and then compared by their diffusion patterns. Results indicated that movies with high profitability and medium opening strength are most significantly influenced by word of mouth effect, while low profitability movies display nearly monotonic decreasing diffusion patterns with noticeable initial adoption rates and relatively early peak points in their runs.
Economic Design of Variable Sampling Interval X Control Chart Using a Surrogate Variable
Lee, Tae-Hoon ; Lee, Jooho ; Lee, Minkoo ;
Journal of Korean Institute of Industrial Engineers, volume 39, issue 5, 2013, Pages 422~428
DOI : 10.7232/JKIIE.2013.39.5.422
In many cases, an
control chart which is based on the performance variable is used in industrial fields. However, if the performance variable is too costly or impossible to measure and a less expensive surrogate variable is available, the process may be more efficiently controlled using surrogate variables. In this paper, we propose a model for the economic design of a VSI (Variable Sampling Interval)
control chart using a surrogate variable that is linearly correlated with the performance variable. The total average profit model is constructed, which involves the profit per cycle time, the cost of sampling and testing, the cost of detecting and eliminating an assignable cause, and the cost associated with production during out-of-control state. The VSI
control charts using surrogate variables are expected to be superior to the Shewhart FSI (Fixed Sampling Interval)
control charts using surrogate variables with respect to the expected profit per unit cycle time from economic viewpoint.
Case Study : A Real Options Approach to an Overseas Project Finance Deal
Byun, Jinho ; Choi, Moon Sub ;
Journal of Korean Institute of Industrial Engineers, volume 39, issue 5, 2013, Pages 429~439
DOI : 10.7232/JKIIE.2013.39.5.429
The Korean Veterans' Pension Fund has previously pre-purchased Gibril Tower on Business Complex in Dubai, UAE, via a project-financed construction investment. Although the property is near completion, the investor syndicate's attempt to debt-finance due arrears was foiled in Dubai central bank's credit control of real estaterelated loans. Accordingly, the investment coordinator offered an additional capital injection, a collateralized leverage, and a maturity extension to the syndicate. If the syndicate rejects the offer, they may risk a nearcomplete capital loss and a possible default of the main contractor. Otherwise, the syndicate may still face uncertainties regarding interest receivables, principal re-payment, foreclosure, economic recession in Dubai, and the Islamic bond bill in the Korean Parliament. A possible exercise of the latter option may be due to the agency-prone nature of pension fund managers. Given these qualitative risk factors as at April 1, 2011, a real options approach-implied optimal decision suggests an extended and complete cash augmentation into the project finance deal.
Joint Production and Disposal Decisions for Sustainable Operations of the Hybrid Production System
Kim, Eungab ;
Journal of Korean Institute of Industrial Engineers, volume 39, issue 5, 2013, Pages 440~449
DOI : 10.7232/JKIIE.2013.39.5.440
We consider a reverse supply chain with a production facility and a recovery facility, and address the joint control of production and disposal decisions for sustainable operations. Demands are satisfied from on-hand inventory of serviceable products, replenished via manufacturing or remanufacturing. Sold products may be returned after usage and each returned product is disposed of or accepted for recovery. Accepted returned products are converted into serviceable products after remanufacturing process. Formulating the model as a Markov decision process, we characterized the structure of the optimal production and disposal policy as two monotone switching curves under a special condition. Three types of heuristic policies are presented and their performance is numerically compared.