New ANSI versions of MIL-STD-414 and MIL-STD-105D

When acceptance sampling plans are applied to measurement characteristics, a choice between application of a variables or an attributes sampling plan must be made. With the recent revision by the American Society for Quality Control for the American National Standards Institute of the ANSI/ASQC Z1.9 variables system and the ANSI/ASQC Z1.4 attributes system, the standards have now been matched so that it is possible to move between them. This article will discuss exploitation of the resulting synergistic relationship to achieve more rational and more effective acceptance sampling.     

Transshipment along a single road

This article explores the problem of the transshipment of goods between centers that are situated along a single road. Costs are incurred both for goods that are shipped and for goods that remain in their original centers. A procedure is developed that determines a partial optimal assignment by use of a northwest corner rule solution. This partial assignment then is completed by solving a number of smaller tridiagonal transportation problems.     

A genetic algorithm methodology for complex scheduling problems

This paper considers the scheduling problem to minimize total tardiness given multiple machines, ready times, sequence dependent setups, machine downtime and scarce tools. We develop a genetic algorithm based on random keys representation, elitist reproduction, Bernoulli crossover and immigration type mutation. Convergence of the algorithm is proved. We present computational results on data sets from the auto industry. To demonstrate robustness of the approach, problems from the literature of different structure are solved by essentially the same algorithm. © 1999 John Wiley & Sons, Inc. Naval Research Logistics 46: 199–211, 1999     

一种微机应用开发的实际方法

在微机应用中缺乏必需的开发工具是经常会遇到的情况,本文介绍了利用一般的微型计算机来研制微机应用程序的方法,讨论了有关的硬件和软件问题。     

Learning in counterinsurgency: what do we really know?

Since the publication in 2002 of John Nagl's Learning to Eat Soup with a Knife, organizational learning has been widely presumed an important ingredient for success in counterinsurgency. But sampling the literature from before and after this time shows remarkably little analytical treatment of the issue of learning and even confusion over what it may mean. This article considers the theories, hypotheses, research strategies, threats to validity, methods of measurement, treatments of time, and general lack of statistical analysis in the work to date and recommends a course for future research.