Optimization of mechanical assembly tolerances by incorporating Taguchi's quality loss function

Bivariate tolerance design for lock wheels by considering quality loss

“…The objective of the loss function is to quantify quality loss due to functional variation from a part's or product's ideal state. Cheng and Maghsoodloo [5] incorporated the loss function into the tolerance design of assemblies such that the user's potential loss/cost may be evaluated. In the present paper the bivariate loss function is combined with the bivariate costtolerance function to determine the optimal tolerances for the thickness and inner diameter of a lock wheel.…”

Bivariate tolerance design for lock wheels by considering quality loss

“…The objective of the loss function is to quantify quality loss due to functional variation from a part's or product's ideal state. Cheng and Maghsoodloo [5] incorporated the loss function into the tolerance design of assemblies such that the user's potential loss/cost may be evaluated. In the present paper the bivariate loss function is combined with the bivariate costtolerance function to determine the optimal tolerances for the thickness and inner diameter of a lock wheel.…”

Design verification and validation in product lifecycle

“…Govindaluri et al [97] consider the quality loss from the perspective of the customer and the manufacturing and rejection costs by the manufacturer. When incorporating Taguchi's quality loss function Cheng and Maghsoodloo [112] found that when a component's mean varies, only the quality loss associated with that component will be changed; whereas when a component's variance shifts, the optimal allowance, tolerance costs, and quality losses associated with each component will be affected. Tolerance optimisation methods are classed as either deterministic or stochastic; the former considers the nominal values of design variables with respect to given input values, using a single point for evaluation, whereas the latter consider the statistical variation of the design variables [113,114].…”

Developing a two‐stage stochastic programming model in tolerance optimization using a guard band approach

“…Cheng and Maghsoodloo considered the effects of shifting components' means and variances on quality loss. It was found that by shifting a component's variance, the optimal allowance, tolerance costs and quality loss of each component would be affected 20 . Wu et al considered asymmetric quality loss functions 21 .…”

Bivariate tolerance design for lock wheels by considering quality loss

“…The objective of the loss function is to quantify quality loss due to functional variation from a part's or product's ideal state. Cheng and Maghsoodloo [5] incorporated the loss function into the tolerance design of assemblies such that the user's potential loss/cost may be evaluated. In the present paper the bivariate loss function is combined with the bivariate costtolerance function to determine the optimal tolerances for the thickness and inner diameter of a lock wheel.…”

Design verification and validation in product lifecycle

“…Govindaluri et al [97] consider the quality loss from the perspective of the customer and the manufacturing and rejection costs by the manufacturer. When incorporating Taguchi's quality loss function Cheng and Maghsoodloo [112] found that when a component's mean varies, only the quality loss associated with that component will be changed; whereas when a component's variance shifts, the optimal allowance, tolerance costs, and quality losses associated with each component will be affected. Tolerance optimisation methods are classed as either deterministic or stochastic; the former considers the nominal values of design variables with respect to given input values, using a single point for evaluation, whereas the latter consider the statistical variation of the design variables [113,114].…”

Developing a two‐stage stochastic programming model in tolerance optimization using a guard band approach

“…Cheng and Maghsoodloo considered the effects of shifting components' means and variances on quality loss. It was found that by shifting a component's variance, the optimal allowance, tolerance costs and quality loss of each component would be affected 20 . Wu et al considered asymmetric quality loss functions 21 .…”

Bivariate tolerance design for lock wheels by considering quality loss

“…The objective of the loss function is to quantify quality loss due to functional variation from a part's or product's ideal state. Cheng and Maghsoodloo [5] incorporated the loss function into the tolerance design of assemblies such that the user's potential loss/cost may be evaluated. In the present paper the bivariate loss function is combined with the bivariate costtolerance function to determine the optimal tolerances for the thickness and inner diameter of a lock wheel.…”

Design verification and validation in product lifecycle

“…Govindaluri et al [97] consider the quality loss from the perspective of the customer and the manufacturing and rejection costs by the manufacturer. When incorporating Taguchi's quality loss function Cheng and Maghsoodloo [112] found that when a component's mean varies, only the quality loss associated with that component will be changed; whereas when a component's variance shifts, the optimal allowance, tolerance costs, and quality losses associated with each component will be affected. Tolerance optimisation methods are classed as either deterministic or stochastic; the former considers the nominal values of design variables with respect to given input values, using a single point for evaluation, whereas the latter consider the statistical variation of the design variables [113,114].…”

Developing a two‐stage stochastic programming model in tolerance optimization using a guard band approach

“…Cheng and Maghsoodloo considered the effects of shifting components' means and variances on quality loss. It was found that by shifting a component's variance, the optimal allowance, tolerance costs and quality loss of each component would be affected 20 . Wu et al considered asymmetric quality loss functions 21 .…”