Optimal stocking policies for low usage items in multi-echelon inventory systems

Multi-echelon logistic systems are essential parts of the service support function of high technology firms. The combination of technological developments and competitive pressures has led to the development of services systems with a unique set of characteristics. These characteristics include (1) low demand probabilities: (2) high cost items; (3) complex echelon structures; (4) existence of pooling mechanisms among stocking locations at the same echelon level; (5) high priority for service, which is often expressed in terms of response time service levels for product groups of items: (6) scrapping of failed parts; and (7) recycling of issued stock due to diagnostic use. This article develops a comprehensive model of a stochastic, multi-echelon inventory system that takes account of the above characteristics. Solutions to the constrained optimization problem are found using a branch and bound procedure. The results of applying this procedure to a spare parts inventory system for a computer manufacturer have led to a number of important policy conclusions.     

Bounding methods for facilities location algorithms

Single- and multi-facility location problems are often solved with iterative computational procedures. Although these procedures have proven to converage, in practice it is desirable to be able to compute a lower bound on the objective function at each iteration. This enables the user to stop the iterative process when the objective function is within a prespecified tolerance of the optimum value. In this article we generalize a new bounding method to include multi-facility problems with l_p distances. A proof is given that for Euclidean distance problems the new bounding procedure is superior to two other known methods. Numerical results are given for the three methods.     

Book reviews

Managing International Conflict, From Theory to Practice: a Teaching Tool Using CASCON by Lincoln P. Bloomfield and Allen Moulton, New York: St Martin's Press, 1997, ISBN 0-312-13675-7 (pbk), £18.99.

The American Century: the Rise and Decline of the United States as a World Power by Donald W. White, London: Yale University Press, 1997, ISBN 0-300-05721-0 (hbk), £25.

Humanitarian Intervention in Contemporary Conflict by Oliver Ramsbotham and Tom Woodhouse, Cambridge: Blackwell, 1996.

The US Military/NGO Relationship in Humanitarian Interventions by Chris Seiple, Peacekeeping Institute, Center for Strategic Leadership, US Army War College, 1996.

Uncivil Wars: International Security and the New Internal Conflicts by Donald M. Snow, London: Lynne Rienner Publishers, 1996, ISBN 1-55587-655-2 (pbk), £15.50, ISBN 1-55587-648-X (hbk), £33.50.

Intelligence Power in Peace and War by Michael Herman, Royal Institute for International Affairs, Cambridge: Cambridge University Press, 1996, ISBN 0-521-56231-7 (hbk), £50, ISBN 0-521-56636 (pbk), £16.95.

UK Eyes Alpha: Inside British Intelligence by Mark Urban, London: Faber and Faber, 1996, ISBN 0-571-17689-5 (hbk), £16.99.

New Cloak, Old Dagger by Michael Smith, London: Victor Gollancz, 1996, ISBN 0-575-06150-2 (hbk), £20.

Conversion Survey 1997: Global Disarmament and Disposal of Surplus Weapons by Bonn International Center for Conversion, Oxford: Oxford University Press, 1997.

Plutonium and Highly Enriched Uranium 1996: World Inventories, Capabilities and Policies by David Albright, Frans Berkhout and William Walker, Oxford: SIPRI and Oxford University Press, 1997.

The Wars of Eduard Shevardnadze by Carolyn McGiffert Ekedahl and Melvin A. Goodman, University Park, PA: Penn State University Press, 1997.     

Target selection in Lanchester combat: Linear-law attrition process

We develop the solution to a simple problem of target selection in Lanchester combat against two enemy force types each of which undergoes a “linear-law” attrition process. In addition to the Pontryagin maximum principle, the theory of singular extremals is required to solve this problem. Our major contribution is to show how to synthesize the optimal target selection policies from the basic optimality conditions. This solution synthesis methodology is applicable to more general dynamic (tactical) allocation problems. For constant attrition-rate coefficients we show that whether or not changes can occur in target priorities depends solely on how survivors are valued and is independent of the type of attrition process.     

Project scheduling: The effects of problem structure on heuristic performance

Individual characteristics of multiple-constrained resource, project scheduling problems are examined in an attempt to predict the solution obtainable with heuristic methods. Difficulties encountered in performing this type of research are described, and several multiple regression models are developed for predicting heuristic performance. Both single and multiple project data are examined, and results reported demonstrate the efficacy of determining beforehand the method used for problem solution.