An optimal decision making model for supporting week hospital management

2010 ◽  
Vol 14 (1) ◽  
pp. 74-88 ◽  
Author(s):  
Domenico Conforti ◽  
Francesca Guerriero ◽  
Rosita Guido ◽  
Marco Matucci Cerinic ◽  
Maria Letizia Conforti
2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Wei Li ◽  
Hang Wu ◽  
Liurui Deng

We investigate how the diversity of consumers’ perceived value in different remanufacturing modes affects remanufacturing decision-making. We establish a two-stage optimal decision-making model of original equipment manufacturer (OEM) remanufacturing and a noncooperative game model of third party remanufacturer (TPR) remanufacturing and then analyze the optimal decisions of OEM and TPR. Comparing the effects of consumers’ perceived value on remanufacturing decision-making in different modes, we find that when OEM remanufactures products, consumers’ perceived value has a negative effect on new products’ price and quantity and has a positive effect on remanufactured products’ quantity and when TPR remanufactures products, consumers’ perceived value has a positive effect on new products price and quantity and has a negative effect on remanufactured products’ quantity. Compared with OEM remanufacturing, TPR remanufacturing can raise the profits of OEM and whole closed-loop supply chain, but it will lower the quantity of remanufacturing products.


2004 ◽  
Vol 85 (2) ◽  
pp. 223-236 ◽  
Author(s):  
Thomas R. Stewart ◽  
Roger Pielke ◽  
Radhika Nath

A case study of the impact of improved precipitation forecasts on the snow-fighting operations of the New York State Thruway is reported. The goal was to use currently available data and literature on forecast process, communication, and use in conjunction with observations and interviews with key decision makers to derive a model that yields estimates of value to users based on a model of their decision processes rather than an optimal decision-making model. That goal proved too ambitious due to limitations in available data. A major lesson learned from this research is the importance of improved, ongoing data collection to support studies of use and value of weather information. A more holistic approach to understanding and realizing forecast value is needed, that is, one in which information (both of forecast skill and usage) centered on the decision process is collected in a much more intensive manner than is presently the case.


2020 ◽  
Vol 165 ◽  
pp. 01018
Author(s):  
Li Tao ◽  
Jian Liu ◽  
Jianye Zou ◽  
Lin Zhang

The introduction of the renewable energy quota system has an impact on the benefits of all market players in the electricity market. This paper aimed at the decision making of load aggregators’ electricity purchase under the assessment of renewable energy quota. Firstly, the market subject, assessment method and strategy of renewable energy quota system were analyzed effectively. Then the scenario of electricity purchasing faced by load aggregators was described and the optimal decision-making model of electricity purchasing by load aggregators considering renewable energy quota was proposed. At last, the model proposed in this paper was verified by relevant examples, and the results show that the optimal purchasing strategy of load aggregator proposed in this paper had obvious economy.


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