The Afghan model in northern Iraq

In Operation ‘Iraqi Freedom’, as the Coalition's heavy forces fought in the South, in the North a handful of special operations forces, working with Kurdish rebels, clashed with the Iraqi army along the Green Line. In operations reminiscent of those used a year earlier to defeat the Taliban in Afghanistan, the lightly armed and heavily outnumbered Coalition forces called in air strikes to defeat Iraq's regular and Republican Guard army divisions. This article tells the story of these operations and discusses some of their implications for future US military policy. The success of the Afghan model in Iraq goes a long way toward demonstrating the efficacy of new air-heavy tactics and shows the strategic value of using light indigenous allies to replace heavy US land forces in both conventional combat and occupation operations.     

A Proliferation of Royal Air Forces

Australia's interest in nuclear weapons in the 1950s and 60s is usually explained in terms of high politics and grand strategy. This proliferation case study explores, in greater detail than hitherto, the important part played by the Royal Australian Air Force (RAAF) in pressing for a nuclear capability. It seeks to understand the reasons behind the RAAF's lobbying, in particular its previous experience with air power, its visceral desire for advanced manned bomber aircraft, and its strong institutional link to the British Royal Air Force. The decision in 1963 to acquire the supersonic US F-111 strike aircraft, instead of rivals including the British TSR.2, is also considered. Once the RAAF's bomber ambitions were satisfied, interest in nuclear weapons was greatly reduced. Finally, some comments are included on the nuclear interests of other air forces in the British Commonwealth.     

Learning to Fight and Fighting to Learn: Practitioners and the Role of Unit Publications in VIII Fighter Command 1943–1944

A military cannot hope to improve in wartime if it cannot learn. Ideally, in wartime, formal learning ceases and the application of knowledge begins. But this is optimistic. In 1942, USAAF Eighth Air Force assumed it had the means necessary for victory. In reality, its technique and technology were only potentially – rather than actually – effective. What remained was to create the practice of daylight bombing – to learn. This article (1) recovers a wartime learning process that created new knowledge, (2) tests existing tacit hypotheses in military adaptation research, and (3) offers additional theoretical foundation to explain how knowledge is created in wartime     

Production lot sizing under setup and worker learning

Previous lot-sizing models incorporating learning effects focus exclusively on worker learning. We extend these models to include the presence of setup learning, which occurs when setup costs exhibit a learning curve effect as a function of the number of lots produced. The joint worker/setup learning problem can be solved to optimality by dynamic programming. Computational experience indicates, however, that solution times are sensitive to certain problem parameters, such as the planning horizon and/or the presence of a lower bound on worker learning. We define a two-phase EOQ-based heuristic for the problem when total transmission of worker learning occurs. Numerical results show that the heuristic consistently generates solutions well within 1% of optimality.     

A heuristic method for facility planning in telecommunications networks with multiple alternate routes

Given point-to-point demand forecasts of transmission facilities for services such as voice or data transmission in each period of a finite planning horizon, a decision has to be made as to which types of transmission facilities—together with the amounts of transmission circuits—are to be installed, if any, on each link of the telecommunications network, in each period of the planning horizon. The availability of alternative transmission systems with significantly different costs and circuit capacities necessitates the determination of a minimum (discounted) cost facility installation scheme. This combinatoric choice problem is complicated by the availability of switching equipments enabling the transmission of some of the traffic through intermediary points. This possibility of alternately routing the traffic or the facility requirements of certain point pairs further complicates the problem while creating the opportunity to benefit from economies of scale. We present here a heuristic method for finding a good solution for the general problem; namely, we consider multiple transmission systems and multiple alternate routes. Numerical examples are given and computational experience is reported.