We study single and multistage inventory systems with stochastic lead times. We study a class of stochastic lead time processes, which we refer to as exogenous lead times. This class of lead time processes includes as special cases all lead time models from existing literature (such as Kaplan’s lead times with no order crossing or independent and identically distributed lead times with order cr...

The theory of multistage integration is based on evidence that the visual brain consists of several parallel multistage processing systems, each specialized for a given attribute such as colour or motion. Each stage of a given system processes information at a distinct level of complexity. Our theory supposes that activity at any stage of a given multistage processing system is perceptually exp...

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 ...

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...

This paper analyzed the model design process of data warehouse project and the various factors which affected the performance in data warehouse model design. Then the author introduced the multistage fuzzy comprehensive evaluation method, and studied its application to the data warehouse’s model performance evaluation, and gave the performance measure model of data warehouse based on multistage...

We prove the almost-sure convergence of a class of samplingbased nested decomposition algorithms for multistage stochastic convex programs in which the stage costs are general convex functions of the decisions, and uncertainty is modelled by a scenario tree. As special cases, our results imply the almost-sure convergence of SDDP, CUPPS and DOASA when applied to problems with general convex cost...

A multistage decision process for transportation investment planning is described. Most transportation investment problems inherently involve multiple criteria and uncertainty. To deal with the variations arising from changes in external environments, robust contingency plans should be integrated in the planning process-not after plans are developed-to account for uncertainty. With the proposed...