Multiresponse optimisation of powder metals via probabilistic loss functions
نویسندگان
چکیده
منابع مشابه
Desirability Functions in Multiresponse Optimization
Desirability functions (DF)s play an increasing role for solving the optimization of process or product quality problems having various quality characteristics to obtain a good compromise between these characteristics. There are many alternative formulations to these functions and solution strategies suggested for handling their weaknesses and improving their strength. Although the DFs of Derri...
متن کاملDetermining an Economically Optimal (N,C) Design via Using Loss Functions
In this paper, we introduce a new sampling plan based on the defective proportion of batch. The proposed sampling plan is based on the distribution function of the proportion defective. A continuous loss function is used to quantify deviations between the proportion defective and its acceptance quality level (AQL). For practical purpose, a sensitivity analysis is carried out on the different v...
متن کاملTutte polynomials of wheels via generating functions
We find an explicit expression of the Tutte polynomial of an $n$-fan. We also find a formula of the Tutte polynomial of an $n$-wheel in terms of the Tutte polynomial of $n$-fans. Finally, we give an alternative expression of the Tutte polynomial of an $n$-wheel and then prove the explicit formula for the Tutte polynomial of an $n$-wheel.
متن کاملAnalysis of Probabilistic Systems via Generating Functions and Padé Approximation
We investigate the use of generating functions in the analysis of discrete Markov chains. Generating functions are introduced as power series whose coefficients are certain hitting probabilities. Being able to compute such functions implies that the calculation of a number of quantities of interest, including absorption probabilities, expected hitting time and number of visits, and variances th...
متن کاملOptimisation and Utility Functions
The story begins in St. Petersburg in 1738. There Daniel Bernoulli proposed a solution to the “St. Petersburg Paradox” by introducing the notion of a utility function. The problem is formulated in somewhat flowery terms as a game. It was proposed by Nicholas Bernoulli, a cousin of Daniel, in a letter from 1713 to Pierre Raymond de Montmort. Suppose I offer you a random sum of money where the am...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: European J. of Industrial Engineering
سال: 2013
ISSN: 1751-5254,1751-5262
DOI: 10.1504/ejie.2013.054130