Determining the Optimum Manufacturing Target Based on an Asymmetric Quality Loss Function

Chen, C.-H.; Chou, Chao‐Yu

doi:10.1007/s001700300021

Cited by 16 publications

(4 citation statements)

References 4 publications

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“…In order to optimise the tolerance design for different goods, various kinds of modifications to the quality-loss function have been examined. For example, a revised Wu and Tang model that includes a uniform or triangular distribution and an asymmetric quality loss function is presented by Chen et al [8] to identify the ideal manufacturing objective. Chan et al [9] developed quality assessment model utilising loss function for several S-type quality measures.…”

Section: Process Capability Indicesmentioning

confidence: 99%

Implementation of Reinspection Scheme in Skip-lot Sampling Plan Based on the Taguchi Process Capability Index

Suthersan,

Balamurali

2023

Preprint

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In several industries, skip-lot sampling plans are utilised to reduce the need for inspection when a product has a history of high quality. These plans are regarded as being economically beneficial as they help to reduce the expense of the final lots examination. In this paper, we propose a designing methodology of the skip-lot sampling plans including resampling based on the Taguchi process capability index. In order to satisfy both producer and consumer risk, the plan parameters for the proposed plan are set by minimising the average sample number. The effectiveness of the proposed plan is discussed by comparing with the existing sampling plans. Moreover, the data from amplified pressure sensors is used to discuss the real life application of the proposed plan.

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Section: Process Capability Indicesmentioning

confidence: 99%

Implementation of Reinspection Scheme in Skip-lot Sampling Plan Based on the Taguchi Process Capability Index

Suthersan,

Balamurali

2023

Preprint

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“…When this is the case, one possible response is fitting a loss function that is not symmetric, and not necessarily quadratic." The problem has received considerable attention from researchers [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Research of Asymmetric Quality Loss Function with Triangular Distribution

Jin

Liu

2013

AMR

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The asymmetric quality loss functions with the triangular distribution for determining the optimum process mean are studied. The condition of using the linear and quadratic asymmetric quality loss function in the model is considered. The eight mathematical models under an asymmetric quality loss function with the triangular distribution based on the analysis of the linear and quadratic asymmetric quality loss function are presented. Finally, the validity of models is verified by the examples.

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“…He discussed two specific models of quality loss functions in which the standard deviation of the quality characteristic either remains constant or is proportional to the process mean. Chen and Chou [22] also presented a modified model with a uniform or triangular distribution under an asymmetric quality loss function for determining the optimum manufacturing target based on the Wu and Tang's model [17].…”

Section: Introductionmentioning

confidence: 99%

A robust tolerance optimization method based on fuzzy quality loss

Cao

Mao

Ching

et al. 2009

Proceedings of the Institution of Mechanical Engineers, Part C:

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Using the quality loss function developed by Taguchi, the manufacturing time and cost of a product can be reduced to improve the factory's competitiveness. However, the fuzziness in quality loss has not been considered in the Taguchi method. This article presents a fuzzy quality loss function model. First, fuzzy logic is used to describe the semantic of the quality, and the quality level is divided into several grades. Then the fuzzy quality loss function is developed utilizing the loss in monetary terms, which indicates the quality loss of each quality level and the normalized expected probability to each quality grade. Moreover, a new optimization model for tolerance design under fuzzy quality loss function is established. An example is used to illustrate the validity of the proposed model. The result shows that the proposed method is more flexible and can achieve the balance of quality and cost in tolerance design. It can be easily used in accordance with practical engineering applications.

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Determining the Optimum Manufacturing Target Based on an Asymmetric Quality Loss Function

Cited by 16 publications

References 4 publications

Implementation of Reinspection Scheme in Skip-lot Sampling Plan Based on the Taguchi Process Capability Index

Implementation of Reinspection Scheme in Skip-lot Sampling Plan Based on the Taguchi Process Capability Index

Research of Asymmetric Quality Loss Function with Triangular Distribution

A robust tolerance optimization method based on fuzzy quality loss

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