This paper examines the optimum level of batch size in bottleneck facility and to analyze the effect of common processes on throughput and cycle time in a production system under uncertain situations created by machine breakdown. Few simulation models are carried out by comparing the existing model and proposed model of the production system in the company. The models are verified and validated...

In this work we present explicit definitions for the sample complexity associated with the Sample Average Approximation (SAA) Method for instances and classes of multistage stochastic optimization problems. For such, we follow the same notion firstly considered in Kleywegt et al. (2001). We define the complexity for an arbitrary class of problems by considering its worst case behavior, as it is...

In this work we present explicit definitions for the sample complexity associated with the Sample Average Approximation (SAA) Method for instances and classes of multistage stochastic optimization problems. For such, we follow the same notion firstly considered in Kleywegt et al. (2001). We define the sample complexity for an arbitrary class of problems by considering its worst case behavior, a...

The supplier's cooperative design enables the enterprise to use supplier's technical ability fully, reduce the time of product coming into the market, improve quality, and reduce cost. In order to evaluate the supplier cooperative design ability (SCDA) scientifically and accurately, this paper overcomes the shortcoming of traditional linear SCDA evaluation method, proposes an improved support v...

In this paper, we have established a new framework of multistage parametric estimation. Specially, we have developed sampling schemes for estimating parameters of common important distributions. Without any information of the unknown parameters, our sampling schemes rigorously guarantee prescribed levels of precision and confidence, while achieving unprecedented efficiency in the sense that the...

In this paper several issues concerning the design and implementation of multistage decimators, interpolators, and narrow-band filters are discussed. In particular, the question of designing these systems in terms of minimum storage rather than minimum computation rate is examined. It is shown that a design which uses finite impulse response (FIR) filters for each stage, and which is minimized ...

This paper presents one of the final stages in development a holistic model selective laser melting (SLM) process. The developed previously allows for modeling only stage SLM, which limits simulations to cycle with material. lattice Boltzmann method is applied simulation treatment, melting, fluid flow, and solidification. Several models powder bed generation were within framework are described ...

We consider totally unimodular multistage stochastic programs, that is, multistage stochastic programs whose extensive-form constraint matrices are totally unimodular. We establish several sufficient conditions and identify examples that have arisen in the literature.

BACKGROUND Multistage adaptive testing has recently emerged as an alternative to the computerized adaptive test. The current study details a new multistage test to assess fluid intelligence. METHOD An item pool of progressive matrices with constructed response format was developed, and divided into six subtests. The subtests were applied to a sample of 724 college students and their psychomet...