Nuclear ‐ and missile‐related trade and developments for selected countries,November 1996‐February 1997

The material in this overview is drawn from selected abstracts that appear in the Center for Nonproliferation Studies’ nuclear and missile databases. Transactions of nuclear and missile technologies, parts, and materials are listed according to the recipient country. Other developments are listed according to the country where the event or development took place. The new, streamlined format of this section indicates a decision by the Monitoring Proliferation Threats Project to focus on only key information in the overview and to offer more in‐depth analysis in the “Reports” section of the journal.     

Cost-based due-date assignment with the use of classical and neural-network approaches

Traditional methods of due-date assignment presented in the literature and used in practice generally assume cost-of-earliness and cost-of-tardiness functions that may bear little resemblance to true costs. For example, practitioners using ordinary least-squares (OLS) regression implicitly minimize a quadratic cost function symmetric about the due date, thereby assigning equal second-order costs to early completion and tardy behavior. In this article the consequences of such assumptions are pointed out, and a cost-based assignment scheme is suggested whereby the cost of early completion may differ in form and/or degree from the cost of tardiness. Two classical approaches (OLS regression and mathematical programming) as well as a neural-network methodology for solving this problem are developed and compared on three hypothetical shops using simulation techniques. It is found for the cases considered that: (a) implicitly ignoring cost-based assignments can be very costly; (b) simpler regression-based rules cited in the literature are very poor cost performers; (c) if the earliness and tardiness cost functions are both linear, linear programming and neural networks are the methodologies of choice; and (d) if the form of the earliness cost function differs from that of the tardiness cost function, neural networks are statistically superior performers. Finally, it is noted that neural networks can be used for a wide range of cost functions, whereas the other methodologies are significantly more restricted. © 1997 John Wiley & Sons, Inc.     

Book reviews

Soviet Nuclear Strategy from Stalin to Gorbachev: a Revolution in Soviet Military and Political Thinking. By Honore M. Catudal. Mansell, London (1988), ISBN 0–7201–2000–4, £25.00

The Military: More Than Just a Job? Edited by Charles C. Moskos and Frank R. Wood. Pergamon‐Brassey's, London (1988), ISBN 0–08–034321‐X, £17.00 ($30.00)

Douglas Haig, 1861–1928. By Gerard J. de Groot. Unwin Hyman, London (1988), ISBN 004 4401922, £20.00

Defence Policy Making. A Comparative Analysis. Edited by G. M. Dillon. Leicester University Press, Leicester (1988), ISBN 0–715–1268–5, £10.95

The Future of U.K. Air Power. Edited by P. Sabin. Brassey's, London (1988), ISBN 0–08–035825‐X (hardcover), 0–08–036256–7 (flexicover), hardcover £18.95 ($34.00), flexicover £9.95 ($17.95)     

Use of a classifier in a knowledge-based simulation optimization system

This article defines and develops a simulation optimization system based upon response surface classification and the integration of multiple search strategies. Response surfaces are classified according to characteristics that indicate which search technique will be most successful. Typical surface characteristics include statistical measures and topological features, while search techniques encompass response surface methodology, simulated annealing, random search, etc. The classify-then-search process flow and a knowledge-based architecture are developed and then demonstrated with a detailed computer example. The system is useful not only as an approach to optimizing simulations, but also as a means for integrating search techniques and thereby providing the user with the most promising path toward an optimal solution. © 1995 John Wiley & Sons, Inc.     

The Anglo-American military relationship: Institutional rules,practices, and narratives

The Anglo-American military relationship is a vital yet neglected area of study. This article argues that the British military have actively cultivated a relationship with the U.S. military that has contributed to the longevity of the broader so-called “Special Relationship,” even in the Trump era. The article contends that the complexities of the military relationship can best be captured by the theoretical lens provided by Lowndes and Roberts that combines different strands of institutionalism to focus on rules, practices, and narratives. The intense linkages between the United States and United Kingdom have become routinized, enabling them to adapt their peacetime cooperation to conflicts, and thereby address post-Cold War security challenges. The article draws upon semi-structured interviews with senior British military officers as well as policy documents to explore how these patterns of collaboration have become ingrained in patterns of both thinking and behavior.