In multistage manufacturing systems, modeling multiple quality indices based on the process sensing variables is important. However, classic technique predicts each variable one at a time, which fails to consider correlation within or between stages. We propose deep multi-task learning framework jointly predict all output in unified end-to-end according sequential system architecture MMS. Our n...

The sinc method is known as an ecient numerical method for solving ordinary or par-tial dierential equations but the system of dierential equations has not been solved by this method which is the focus of this paper. We have shown that the proposed version of sinc is able to solve sti system while Runge-kutta method can not able to solve. Moreover, Due to the great attention to mathematical mod...

In this paper a multivariate quality control procedure is offered in which several correlated stages are present in production systems and in each stage there are several correlated control variable. Using Hotelling's T2 statistic, first, each stage is tested for being out of control. Then out of control variables are selected using Murphy's method. The remainder of the research involves evalua...

A multistage system refers to a system consisting of multiple components, stations or stages required to finish the final product or service. Multistage systems are very common in practice and include a variety of modern manufacturing and service systems. In most cases, the quality of the final product or service produced by a multistage system is determined by complex interactions among multip...

On the base of studying multistage instrumental toothed mechanisms provided earlier computer-aided design of multistage gear drives, optimized by criterion of minimum volume is considered. The sowfware’s CAD-systems including computer programs for multistage gear drives of ledge wise, coaxial and orbital arrangements are developed. Different schemes of arrangement are analyzed and results of op...