Quantitative evaluation of quality loss for fraction defective case using Taguchi's quality loss function

Shilpa, M.; Naidu, N. V.

doi:10.1504/ijlsm.2014.062124

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…The quality loss function is a relation function between the deviation of the actual value and its target value. It is assumed that the output characteristic (quality characteristic) of the product (system) is y and the target value is m , so the quality loss is (Shilpa and Naidu, 2014): where k is the quality loss coefficient, which reflects the economic loss of unit square deviation.…”

Section: The Deviation-cost Optimization Model Based On Three-dimensional Tolerancementioning

confidence: 99%

Analysis and optimization of assembly precision-cost model based on 3D tolerance expression

Sun

et al. 2018

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Purpose This paper aims to comprehensively achieve the requirements of high assembly precision and low cost, a precision-cost model of assembly based on three-dimensional (3D) tolerance is established in this paper. Design/methodology/approach The assembly precision is related to the tolerance of parts and the deformation of matching surfaces under load. In this paper, the small displacement torsor (SDT) theory is first utilized to analyze the manufacturing tolerances of parts and the assembly deformation deviation of matching surface. In the meanwhile, the extracting method of SDT parameters is proposed and the assembly precision calculation model based on the 3D tolerance is established. Second, an integrated optimization model based on the machining cost, assembly cost (mapping the deviation domain to the SDT domain) and quality loss cost is built. Finally, the practicability of the precision-cost model is verified by optimizing the horizontal machining center. Findings The assembly deviation has a great influence on cost fluctuation. By setting the optimization objective to maximize the assembly precision, the optimal total cost is CNY 72.77, decreasing by 16.83 per cent from the initial value, which meets economical requirements. Meanwhile, the upper bound of each processing tolerance is close to the maximum value of 0.01 mm, indicating that the load deformation can be offset by appropriately increasing the upper bound of the tolerance, but it is necessary to strictly restrict the manufacturing tolerances of lower parts in a reasonable range. Originality/value In this paper, a 3D deviation precision-cost model of assembly is established, which can describe the assembly precision more accurately and achieve a lower cost compared with the assembly precision model based on rigid parts.

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Section: The Deviation-cost Optimization Model Based On Three-dimensional Tolerancementioning

confidence: 99%

Analysis and optimization of assembly precision-cost model based on 3D tolerance expression

Sun

et al. 2018

View full text Add to dashboard Cite

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Taguchi's Loss Function in the Weight Quality of Products: Case Study of Cheese Making

Mateo-Díaz¹,

Cruz-Rivero

Meraz-Rivera

et al. 2021

Techniques, Tools and Methodologies Applied to Quality Assurance in Manufacturing

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Application of Taguchi’s Parameter Design for Website Compatibility Testing

Shilpa¹

2016

IJRET

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Testing the product just before its release to the customer is very important as it marks the success of that product. In software development, testing of the software is conducted at the last stage of the development cycle. During software testing, there will a large number of variables and their possible values. For this if conventional testing process becomes cumbersome and hence a more efficient testing strategy has to be applied. This paper discusses the application of Orthogonal Array based Software Testing (OATS) for minimizing the number of bugs in the software. In this paper, Taguchi's Orthogonal Array (OA) is applied for compatibility testing of a website, by considering five control factors and one interaction between the factors. Experiments have been conducted using L18 orthogonal array; experimental results are analyzed using Smaller-The-Better (STB) type of Signal-to-Noise (S/N) ratio and optimal levels for the control factors are obtained. With these optimal levels it is found that the number of bugs has been considerably reduced.

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Quantitative evaluation of quality loss for fraction defective case using Taguchi's quality loss function

Cited by 4 publications

References 17 publications

Analysis and optimization of assembly precision-cost model based on 3D tolerance expression

Analysis and optimization of assembly precision-cost model based on 3D tolerance expression

Taguchi's Loss Function in the Weight Quality of Products: Case Study of Cheese Making

Application of Taguchi’s Parameter Design for Website Compatibility Testing

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