Global Strategy paper

John Baylis and Alan Macmillan, The British Global Strategy paper of 952 Journal of Strategic Studies 16 (1993), no. 2, 200—26, at 221. 

In the summer of 1952 a revised version of the Global Strategy paper was taken by Slessor to the United States, where General Bradley, the chairman of the Joint Chiefs of Staff, criticised what he saw as its likely deleterious effects on attempts to build up NATO s conventional forces. Nevertheless, from January 1953 the new Eisenhower administration, faced with pressures from rising defence expenditure on the... 

The advent of the hydrogen bomb led to even more radical changes in defence policy than those set out in the 1952 Global Strategy paper, but enhanced nuclear deterrence was not the only factor. John Baylis has remarked on the extent to which British strategy was driven by... 

Global Strategy paper in 1952 and the Defence White Paper in 1957, were motivated by an understanding that too much defence expenditure would undermine Britain s economic strength. There was a need to match strategic ends and economic means. 

While Porter (1986) presented various generic international strategies for firms to eompete globally, our paper focuses on the issue of coordinating supply chain and marketing activities for a firm to succeed in a new market. 

DTI (2001a) White Paper on enterprise, skills and innovation Opportunity for all in a world of change (Cm 5052), February 2001, HMSO, London DTI (2001b) DTI science and innovation strategy , HMSO, London DTI (2003) Innovation report Competing in a global economy , HMSO, London Dyson, J. (1997) Against the Odds, Orion Business Books, London ENDS (1999) ENDS Environment Daily, Friday 26 November... 

Paper presented at the Workshop on Global Health Workforce Strategy, Annecy, France. Chaudhiuy R. R., R. Parameswar, U. Gupta, S. Sharma, U. Tekur, and J. S. Bapna. 2005. Quality... 

De Bree, Simon (1995) Global industry perspective. Paper presented at the conference on competing in the new Europe strategies for the Central and Eastern European chemical industry. 

An optimal control strategy for batch processes using particle swam optimisation (PSO) and stacked neural networks is presented in this paper. Stacked neural networks are used to improve model generalisation capability, as well as provide model prediction confidence bounds. In order to improve the reliability of the calculated optimal control policy, an additional term is introduced in the optimisation objective function to penalise wide model prediction confidence bounds. PSO can cope with multiple local minima and could generally find the global minimum. Application to a simulated fed-batch process demonstrates that the proposed technique is very effective. 

---