作者：KO, CW; LEE, J; QUEYRANNE, M
作者单位：Rutgers University System; Rutgers University New Brunswick; University of British Columbia
摘要：We study the experimental design problem of selecting a most informative subset, having prespecified size, from a set of correlated random variables. The problem arises in many applied domains, such as meteorology, environmental statistics, and statistical geology. In these applications, observations can be collected at different locations, and possibly, at different times. Information is measured by ''entropy.'' In the Gaussian case, the problem is recast as that of maximizing the determinant...
作者：WEBSTER, S; BAKER, KR
作者单位：Dartmouth College
摘要：Economies of scale are fundamental to manufacturing operations. With respect to scheduling, this phenomenon manifests itself in efficiencies gained from grouping similar jobs together. This paper reviews the rapidly growing literature on single-machine scheduling models that incorporate benefits from job grouping. We focus on three basic models known as family scheduling with item availability, family scheduling with batch availability, and batch processing. We present known results and introd...
作者：GERASIMOV, AI
摘要：Analytical expressions (formulas) for normalizing constants in closed queueing networks with different classes of customers are presented and discussed in this article.
作者：PAPADOPOULOS, HT
摘要：This paper concerns the throughput rate of multistation reliable production lines with no intermediate buffers. Processing times at the service stations are independent, exponential random variables, possibly with different means. We extend the work started in E. J. Muth (1984) to provide an algorithm that allows for the efficient computation of longer lines and to provide results for the nonidentical server case. A result is presented which provides the distribution function of the holding ti...
作者：GASCON, A
摘要：In this note, an algorithm previously introduced by B. Lev and H. Weiss to optimally solve the finite horizon EOQ model with price changes is modified to avoid infeasible solutions. An example is provided.
