Cost analysis and extension of a simple maintenance-scheduling heuristic

Practitioners of maintenance scheduling sometimes use a simple analytic formula, derived based on inspection scheduling, as a heuristic to determine the length of the preventive maintenance period. The sensitivity of this heuristic solution is analyzed and the cost penalties are calculated compared to the exact solution that utilizes the lifetime distribution in the derivation of the optimal preventive maintenance period. A simple extension of the heuristic is suggested to improve the approximation with a slightly increased computational effort. The sensitivity and cost analysis of the improved heuristic are discussed as well. © 1994 John Wiley & Sons, Inc.     

White hull or white elephant? Soft power and the Chinese hospital ship,the Peace Ark

Although soft power is now seen as an indispensable foreign policy tool, its efficacy has rarely been put to a rigorous empirical test. Using data from HARMONIOUS MISSIONs 2010, 2011 and 2013, this article seeks to examine the degree to which the soft power engagement missions of the Chinese hospital ship, the Peace Ark, has advanced Chinese interests. Although any conclusions drawn must be considered preliminary, as so little time has passed between the ship's visits and the current analysis, this research indicates that these missions’ impact on advancing Chinese interests was at best limited. Although observations from a single set of cases are unlikely to settle the debate between soft power advocates and detractors, it is hoped that this research will serve as a catalyst to further empirically based research on this topic.     

Dichotomous categorical variable formation in mathematical programming discriminant analysis models

Classification models, whether generated by statistical techniques or mathematical programming (MP) discriminant analysis methods, are often simplified by ad hoc formation of dichotomous categorical variables from the original variables with, for example, a dichotomous variable taking value 1 if the original variable is above a threshold level and 0 otherwise. In this paper an MP discriminant analysis method is developed for forming dichotomous categorical variables in problems with discriminant functions that are monotone in the original variables. For each of the original variables from which dichotomous variables may be formed, a set of possible threshold levels for dichotomous variable formation is defined. An MP model is then used to determine both the threshold level for forming each dichotomous variable and the associated discriminant function coefficient. The proposed MP approach is applied to a published problem and a number of simulated problem sets. It is shown that the discriminant functions in dichotomous categorical variables generated by this new MP approach can in some cases outperform the functions generated by standard MP discriminant analysis models using the original variables. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004.     

Identifying the challenges to defence reform in Central and Eastern Europe: observations from the field

The authors have over 50 years' experience of working on defence in Central and Eastern Europe. They have been intimately involved in trying to reform over 10 national defence organisations including Ukraine. During this work, they often faced intractable resistance and scepticism or conversely, apparent unbounded support, but following this, a complete lack of any actual implementation work by officials. This paper addresses some of the findings and observations identified by the authors that appear to cause these responses and the consequent failure of reform. A new research approach has been taken by using the business and culture tools from Schein, Hofstede and Kotter to try and unravel the underlying causality of that failure. The second part of the paper produces a new process for change based upon the research conclusions to help other advisers and consultants working on reform in the post communist defence arena.