scholarly journals Corrigendum to ‘Group decisions from individual rankings: The Borda–Condorcet rule’ [European Journal of Operational Research, Volume 291, Issue 2, 1 June 2021, Pages 757-765]

2021 ◽  
Author(s):  
Carmen Herrero ◽  
Antonio Villar
Keyword(s):  
Operational Research ◽  
Group Decisions

Perceptions of Group Decision Rules and Group Decisions

2001 ◽  
Author(s):  
Charles E. Miller ◽  
Yohsuke Ohtsubo
Keyword(s):  
Group Decision ◽  
Decision Rules ◽  
Group Decisions

Frames in Context: Comparing Technology-Mediated and Face-to-Face Group Decisions

2008 ◽  
Author(s):  
Michel Handgraaf ◽  
Philip Schuette ◽  
Nicole Yoskowitz ◽  
Elke Weber ◽  
Kerry Milch ◽  
...  
Keyword(s):  
Group Decisions ◽  
Face To Face

The origins and diffusion of operational research in the UK

1998 ◽  
Vol 49 (4) ◽  
pp. 307-326
Author(s):  
M W Kirby ◽  
R Capey
Keyword(s):  
Operational Research ◽  
The Uk ◽  
And Diffusion

A Language–Action Approach to Operational Research

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

Pareto Set as a Model for Dispatching Resources in Emergency Centres (Preprint)

2018 ◽  
Author(s):  
Ricardo Guedes ◽  
Vasco Furtado ◽  
Tarcísio Pequeno ◽  
Joel Rodrigues
Keyword(s):  
Operational Research ◽  
Real Data ◽  
Pareto Set ◽  
Multi Objective Optimization ◽  
Pareto Dominance ◽  
Four Dimensions ◽  
Multi Objective ◽  
The Best Approximation ◽  
One Year ◽  
The Cost

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.

scholarly journals Democracy in animals: the evolution of shared group decisions

2007 ◽  
Vol 274 (1623) ◽  
pp. 2317-2326 ◽  
Author(s):  
L Conradt ◽  
T.J Roper
Keyword(s):  
Group Decisions

Symposium on Operational Research and Applications

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

scholarly journals Protocol for establishing an Adaptive Diseases control Expert Programme in Tanzania (ADEPT) for integrating care of communicable and non-communicable diseases using tuberculosis and diabetes as a case study

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e041521
Author(s):  
Stellah G Mpagama ◽  
Kaushik Ramaiya ◽  
Troels Lillebæk ◽  
Blandina T Mmbaga ◽  
Marion Sumari-de Boer ◽  
...  
Keyword(s):  
Operational Research ◽  
Communicable Diseases ◽  
Health Facilities ◽  
Learning System ◽  
Management Approach ◽  
African Countries ◽  
Non Communicable Diseases ◽  
Research Outcomes ◽  
The Government

IntroductionMost sub-Saharan African countries endure a high burden of communicable infections but also face a rise of non-communicable diseases (NCDs). Interventions targeting particular epidemics are often executed within vertical programmes. We establish an Adaptive Diseases control Expert Programme in Tanzania (ADEPT) model with three domains; stepwise training approach, integration of communicable and NCDs and a learning system. The model aims to shift traditional vertical programmes to an adaptive diseases management approach through integrating communicable and NCDs using the tuberculosis (TB) and diabetes mellitus (DM) dual epidemic as a case study. We aim to describe the ADEPT protocol with underpinned implementation and operational research on TB/DM.Methods and analysisThe model implement a collaborative TB and DM services protocol as endorsed by WHO in Tanzania. Evaluation of the process and outcomes will follow the logic framework. A mixed research design with both qualitative and quantitative approaches will be used in applied research action. Anticipated implementation research outcomes include at the health facilities level for organising TB/DM services, pathways of patients with TB/DM seeking care in different health facilities, factors in service delivery that need deimplementation and the ADEPT model implementation feasibility, acceptability and fidelity. Expected operational research outcomes include additional identified patients with dual TB/DM, the prevalence of comorbidities like hypertension in patients with TB/DM and final treatment outcomes of TB/DM including treatment-related complications. Findings will inform the future policies and practices for integrating communicable and NCDs services.Ethics and disseminationEthical approval was granted by The National Research Health Ethical Committee (Ref-No. NIMR/HQ/R.8a/Vol.IX/2988) and the implementation endorsed by the government authorities. Findings will be proactively disseminated through multiple mechanisms including peer-reviewed journals, and engagement with various stakeholders’ example in conferences and social media.

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