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Chungho Chen - One of the best experts on this subject based on the ideXlab platform.
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economic specification limits and process mean settings by considering unequal target value and specification center
Journal of Industrial and Production Engineering, 2014Co-Authors: Chungho Chen, Chaoyu ChouAbstract:In this paper, the author proposes a modified Kapur and Wang’s model with unequal target value and specification center. The economic specification limits and process mean are determined by minimizing the expected total Quality Loss per unit product under the specified process capability index value. The process capability indices Cpm and Cpmk correlated with Taguchi’s quadratic Quality Loss Function are considered. The 100% inspection is executed before the product shipped to the customer. Taguchi’s asymmetric quadratic Quality Loss Function is applied in evaluating the product Quality. The numerical results show that the modified model with specified Cpm value has smaller specification tolerance, larger process mean, and smaller expected total cost per unit product than those of the modified model with specified Cpmk value.
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The Modified Economic Manufacturing Quantity Model for Product with Quality Loss Function
2009Co-Authors: Chungho ChenAbstract:ABSTRACT Traditional economic manufacturing quantity (EMQ) model addressed that the perfect production for product. However, there possibly exists the defective product in the manufacturing process. Hence, it is necessary to include the Quality cost in the EMQ model. In this paper, we propose a modified EMQ model with Quality Loss and inventory cost. By solving the modified EMQ model, we can obtain the optimum production run length and process mean by considering the minimum expected total cost. Taguchi’s symmetric quadratic Quality Loss Function will be adopted for evaluating the product Quality.
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short communication the determination of optimum process mean and screening limits based on Quality Loss Function
Expert Systems With Applications, 2009Co-Authors: Chungho Chen, Huisung KaoAbstract:The product control of process is an important problem for the manufacturer. In this paper, we present a modified Lee et al.'s model with process control model for the canning/filling industry. Assume that the surrogate variable is high correlated with the performance variable. By adopting the single-stage screening procedure of surrogate variable, we can obtain the optimum process mean and screening limits based on minimizing the expected total cost of the society. The production cost, inspection cost, rework cost, scrap cost, and the use cost of customers are included in the model. The quadratic Quality Loss Function is used in evaluating the use cost of customers. A numerical example and sensitivity analysis of parameters are provided for illustration.
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Optimum Process Mean Setting Based on Bivariate Quality Loss Function
2008Co-Authors: Chungho Chen, Jung-chen ChenAbstract:Recently, Bowling et al. presented the problem of setting the optimum process mean for a multi-stage serial production system. Their model is based on the maximum of the expected profit per item for determining the optimum process mean. However, they did not take into account the Quality cost for the work-in-process and the finished product within the specification limits. In fact, the Quality characteristic of the former has a major effect on that of the latter. Hence, the Quality characteristics between the work-in-process product and the finished product are dependent. In this paper, we propose a modified Bowling et al.'s model by considering the Quality cost for the work-in-process and finished product based on the bivariate Quality Loss Function. The nominal-is-best bivariate Quality Loss Function is applied in evaluating the product Quality and formulating the modified model. Finally, the sensitivity analyses of parameters are provided for illustration.
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The determination of economic production run length and manufacturing target by considering Quality Loss Function
Journal of Statistics and Management Systems, 2008Co-Authors: Chungho ChenAbstract:Abstract Traditional economic manufacturing quantity (EMQ) model assumes that the perfect production for product. However, there possibly exists the defective product in the production process. In 1996, Chen and Chung presented the Quality selection problem to the imperfect production system for obtaining the optimum production run length and target level. In 1998, Wu and Tang proposed the optimum manufacturing target based on Taguchi’s quadratic Quality Loss Function. In this paper, we further integrate Chen and Chung’s and Wu and Tang’s models in the modified EMQ model for obtaining the optimum production run length and manufacturing target. The normal, uniform, and triangular Quality characteristics are considered in the modified EMQ model. The asymmetric quadratic and linear Quality Loss Functions are adopted for measuring the product Quality. The numerical example and sensitivity analysis of parameters are provided for illustration.
Ajay Pal Singh Rathore - One of the best experts on this subject based on the ideXlab platform.
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reliability based robust design optimization a multi objective framework using hybrid Quality Loss Function
Quality and Reliability Engineering International, 2010Co-Authors: Om Prakash Yadav, S S Bhamare, Ajay Pal Singh RathoreAbstract:In this globally competitive business environment, design engineers are constantly striving to establish new and effective tools and techniques to ensure a robust and reliable product design. Robust design (RD) and reliability-based design approaches have shown the potential to deal with variability in the life cycle of a product. This paper explores the possibilities of combining both approaches into a single model and proposes a hybrid Quality Loss Function-based multi-objective optimization model. The model is unique because it uses a hybrid form of Quality Loss-based objective Function that is defined in terms of desirable as well as undesirable deviations to obtain efficient design points with minimum Quality Loss. The proposed approach attempts to optimize the product design by addressing Quality Loss, variability, and life-cycle issues simultaneously by combining both reliability-based and RD approaches into a single model with various customer aspirations. The application of the approach is demonstrated using a leaf spring design example. Copyright © 2009 John Wiley & Sons, Ltd.
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Reliability‐based robust design optimization: A multi‐objective framework using hybrid Quality Loss Function
Quality and Reliability Engineering International, 2009Co-Authors: Om Prakash Yadav, S S Bhamare, Ajay Pal Singh RathoreAbstract:In this globally competitive business environment, design engineers are constantly striving to establish new and effective tools and techniques to ensure a robust and reliable product design. Robust design (RD) and reliability-based design approaches have shown the potential to deal with variability in the life cycle of a product. This paper explores the possibilities of combining both approaches into a single model and proposes a hybrid Quality Loss Function-based multi-objective optimization model. The model is unique because it uses a hybrid form of Quality Loss-based objective Function that is defined in terms of desirable as well as undesirable deviations to obtain efficient design points with minimum Quality Loss. The proposed approach attempts to optimize the product design by addressing Quality Loss, variability, and life-cycle issues simultaneously by combining both reliability-based and RD approaches into a single model with various customer aspirations. The application of the approach is demonstrated using a leaf spring design example. Copyright © 2009 John Wiley & Sons, Ltd.
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A Hybrid Quality Loss Function–Based Multi-Objective Design Optimization Approach
Quality Engineering, 2009Co-Authors: S S Bhamare, Om Prakash Yadav, Ajay Pal Singh RathoreAbstract:A modified multi-objective optimization approach to product development is presented that focuses on Quality Loss issues at the early design stages while at the same time incorporating customer expectations. The use of deviational variables is recommend..
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a hybrid Quality Loss Function based multi objective design optimization approach
Quality Engineering, 2009Co-Authors: S S Bhamare, Om Prakash Yadav, Ajay Pal Singh RathoreAbstract:A modified multi-objective optimization approach to product development is presented that focuses on Quality Loss issues at the early design stages while at the same time incorporating customer expectations. The use of deviational variables is recommend..
David Gorsich - One of the best experts on this subject based on the ideXlab platform.
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dimension reduction method for reliability based robust design optimization
Computers & Structures, 2008Co-Authors: Kyung K. Choi, Liu Du, David GorsichAbstract:In reliability-based robust design optimization (RBRDO) formulation, the product Quality Loss Function is minimized subject to probabilistic constraints. Since the Quality Loss Function is expressed in terms of the first two statistical moments, mean and variance, three methods have been recently proposed to accurately and efficiently estimate the moments: the univariate dimension reduction method (DRM), performance moment integration (PMI) method, and percentile difference method (PDM). In this paper, a reliability-based robust design optimization method is developed using DRM and compared to PMI and PDM for accuracy and efficiency. The numerical results show that DRM is effective when the number of random variables is small, whereas PMI is more effective when the number of random variables is relatively large.
Chaoyu Chou - One of the best experts on this subject based on the ideXlab platform.
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economic specification limits and process mean settings by considering unequal target value and specification center
Journal of Industrial and Production Engineering, 2014Co-Authors: Chungho Chen, Chaoyu ChouAbstract:In this paper, the author proposes a modified Kapur and Wang’s model with unequal target value and specification center. The economic specification limits and process mean are determined by minimizing the expected total Quality Loss per unit product under the specified process capability index value. The process capability indices Cpm and Cpmk correlated with Taguchi’s quadratic Quality Loss Function are considered. The 100% inspection is executed before the product shipped to the customer. Taguchi’s asymmetric quadratic Quality Loss Function is applied in evaluating the product Quality. The numerical results show that the modified model with specified Cpm value has smaller specification tolerance, larger process mean, and smaller expected total cost per unit product than those of the modified model with specified Cpmk value.
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Determining the Optimum Process Parameters by Asymmetric Quality Loss Function
Mathematika, 2006Co-Authors: Chungho Chen, Chaoyu ChouAbstract:Huang presented a trade-off problem, taking both product Quality and process adjustment cost into account, to determine the optimum parameters (i.e., the process mean and process variance) of the input characteristic in the transformation model. In Huang's transformation model, the input characteristic, x, is assumed to be normally distributed and the output characteristic, y, is nominal-the-best with a target value. The relationship between x and y can be either linear or quadratic. When formulating the cost Function in the transformation model, Huang used the symmetric quadratic Loss Function to measure the Loss of profit. In this paper, we extend Huang's quadratic transformation model to a more general case by respectively using asymmetric quadratic and asymmetric linear Loss Functions in the cost Function. The modified cost Functions using asymmetric quadratic and asymmetric linear Loss Functions are developed. A numerical example is provided for illustration. Keywords: Asymmetric Quality Loss Function; Trade-Off Problem; Process Mean; Process Variance; Target Value.
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Determining a One-sided Optimum Specification Limit under the Linear Quality Loss Function
Quality and Quantity, 2005Co-Authors: Chungho Chen, Chaoyu ChouAbstract:Kapur and Wang [The winter Annual Meeting of the American Society of Mechanical Engineers (1987) p. 23] addressed the problem of product having the specification limits and process being not capable of specifications. They presented that the inspection policy in an online Quality control system has a short-term approach to reduce variance of the items shipped to the customers. In this paper, we further propose the modified Kapur and Wang’s model with the linear Quality Loss of product within specifications for determining a one-sided optimum specification limit.
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Set the Optimum Process Parameters Based on Asymmetric Quality Loss Function
Quality & Quantity, 2004Co-Authors: Chungho Chen, Chaoyu ChouAbstract:Recently, Huang has presented a trade-off problem of determining the optimumprocess parameters for the product Quality and process adjustment cost. Aboutproduct Quality, Huang adopts the symmetric quadratic Quality Loss Function formeasuring the Loss of profit. However, he has neglected other types of QualityLoss Function in the model. In this paper, we will further propose the modifiedHuang's cost model with the linear and quadratic asymmetric Quality Loss Function of product for determining the optimum process parameters.
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applying Quality Loss Function in the design of economic specification limits for triangular distribution
Asia-Pacific Management Review, 2003Co-Authors: Chungho Chen, Chaoyu ChouAbstract:In 1987, Kapur and Wang presented that the inspection in an on-line Quality control system may be conducted as a short term approach to reduce variance of the items shipped to the customers. They used Taguchi's Quality Loss Function for designing the optimal specification limits. The normal and log-normal Quality characteristics are used in their model. In this paper, we further extend Kapur and Wang's model for the triangular Quality characteristic. For this modified Kapur and Wang's model, the managerial implication is that by using the triangular distribution we determine the optimum inspection policy for product assembly including two or more parts follow uniform distribution, control the nonconforming items prevented to be shipped to the customer, and decrease the total Loss to the society.
Om Prakash Yadav - One of the best experts on this subject based on the ideXlab platform.
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reliability based robust design optimization a multi objective framework using hybrid Quality Loss Function
Quality and Reliability Engineering International, 2010Co-Authors: Om Prakash Yadav, S S Bhamare, Ajay Pal Singh RathoreAbstract:In this globally competitive business environment, design engineers are constantly striving to establish new and effective tools and techniques to ensure a robust and reliable product design. Robust design (RD) and reliability-based design approaches have shown the potential to deal with variability in the life cycle of a product. This paper explores the possibilities of combining both approaches into a single model and proposes a hybrid Quality Loss Function-based multi-objective optimization model. The model is unique because it uses a hybrid form of Quality Loss-based objective Function that is defined in terms of desirable as well as undesirable deviations to obtain efficient design points with minimum Quality Loss. The proposed approach attempts to optimize the product design by addressing Quality Loss, variability, and life-cycle issues simultaneously by combining both reliability-based and RD approaches into a single model with various customer aspirations. The application of the approach is demonstrated using a leaf spring design example. Copyright © 2009 John Wiley & Sons, Ltd.
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Reliability‐based robust design optimization: A multi‐objective framework using hybrid Quality Loss Function
Quality and Reliability Engineering International, 2009Co-Authors: Om Prakash Yadav, S S Bhamare, Ajay Pal Singh RathoreAbstract:In this globally competitive business environment, design engineers are constantly striving to establish new and effective tools and techniques to ensure a robust and reliable product design. Robust design (RD) and reliability-based design approaches have shown the potential to deal with variability in the life cycle of a product. This paper explores the possibilities of combining both approaches into a single model and proposes a hybrid Quality Loss Function-based multi-objective optimization model. The model is unique because it uses a hybrid form of Quality Loss-based objective Function that is defined in terms of desirable as well as undesirable deviations to obtain efficient design points with minimum Quality Loss. The proposed approach attempts to optimize the product design by addressing Quality Loss, variability, and life-cycle issues simultaneously by combining both reliability-based and RD approaches into a single model with various customer aspirations. The application of the approach is demonstrated using a leaf spring design example. Copyright © 2009 John Wiley & Sons, Ltd.
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A Hybrid Quality Loss Function–Based Multi-Objective Design Optimization Approach
Quality Engineering, 2009Co-Authors: S S Bhamare, Om Prakash Yadav, Ajay Pal Singh RathoreAbstract:A modified multi-objective optimization approach to product development is presented that focuses on Quality Loss issues at the early design stages while at the same time incorporating customer expectations. The use of deviational variables is recommend..
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a hybrid Quality Loss Function based multi objective design optimization approach
Quality Engineering, 2009Co-Authors: S S Bhamare, Om Prakash Yadav, Ajay Pal Singh RathoreAbstract:A modified multi-objective optimization approach to product development is presented that focuses on Quality Loss issues at the early design stages while at the same time incorporating customer expectations. The use of deviational variables is recommend..
