The operational research section of the Eighth Bomber Command continues to organize, January–June 1943

2017 ◽  
Vol 25 (4) ◽  
pp. 534-554
Author(s):  
Victor Bissonnette

Operational research is a scientific discipline that appeared in Great Britain on the eve of the Second World War. Bomber Command’s Operational research section began its studies in September 1941, using civilian scientists to analyse the bombing operations. Two potentially conflicting goals were pursued, one intended to maximize the offensive power against Germany, the other striving to minimize bomber losses. This article uses the Operational research performed during the conflict to illustrate the choices made by Bomber Command between those two possibilities, concluding on a clear priority in favour of the offensive.


Author(s):  
Colin F. Baxter

At the start of World War II, Allied aircraft lacked an effective airborne weapon to use against U-boats in the Battle of the Atlantic. The importance of the Operational Research Section at RAF Coastal Command. Initially, the commander-in-chief of RAF Coastal Command and his civilian scientists were in agreement, but differences over weapon size almost led to the abandonment of the most promising aerial anti-U-boat weapon, the 250-pound Torpex-filled airborne depth charge. The Hedgehog antisubmarine weapon would also fire Torpex-filled projectiles.


1996 ◽  
Vol 47 (6) ◽  
pp. 731-740
Author(s):  
Ian Morley ◽  
Richard Ormerod
Keyword(s):  

2018 ◽  
Author(s):  
Ricardo Guedes ◽  
Vasco Furtado ◽  
Tarcísio Pequeno ◽  
Joel Rodrigues

UNSTRUCTURED The article investigates policies for helping emergency-centre authorities for dispatching resources aimed at reducing goals such as response time, the number of unattended calls, the attending of priority calls, and the cost of displacement of vehicles. Pareto Set is shown to be the appropriated way to support the representation of policies of dispatch since it naturally fits the challenges of multi-objective optimization. By means of the concept of Pareto dominance a set with objectives may be ordered in a way that guides the dispatch of resources. Instead of manually trying to identify the best dispatching strategy, a multi-objective evolutionary algorithm coupled with an Emergency Call Simulator uncovers automatically the best approximation of the optimal Pareto Set that would be the responsible for indicating the importance of each objective and consequently the order of attendance of the calls. The scenario of validation is a big metropolis in Brazil using one-year of real data from 911 calls. Comparisons with traditional policies proposed in the literature are done as well as other innovative policies inspired from different domains as computer science and operational research. The results show that strategy of ranking the calls from a Pareto Set discovered by the evolutionary method is a good option because it has the second best (lowest) waiting time, serves almost 100% of priority calls, is the second most economical, and is the second in attendance of calls. That is to say, it is a strategy in which the four dimensions are considered without major impairment to any of them.


2020 ◽  
Author(s):  
Fernanda A. Ferreira ◽  
Flávio Ferreira
Keyword(s):  

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