A problem identification taxonomy for classification and automated formulation of multiple objective linear programming models

1992 ◽  
Vol 38 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Ajay K. Aggarwal ◽  
Edward R. Clayton ◽  
Terry R. Rakes ◽  
Joanna R. Baker
Keyword(s):  
Linear Programming ◽  
Programming Models ◽  
Multiple Objective ◽  
Multiple Objective Linear Programming ◽  
Problem Identification ◽  
Automated Formulation

scholarly journals Solving Patient Allocation Problem during an Epidemic Dengue Fever Outbreak by Mathematical Modelling

Healthcare ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 163
Author(s):  
Jung-Fa Tsai ◽  
Tai-Lin Chu ◽  
Edgar Hernan Cuevas Brun ◽  
Ming-Hua Lin
Keyword(s):  
Linear Programming ◽  
Dengue Fever ◽  
Decision Makers ◽  
Programming Models ◽  
Multiple Objective ◽  
Multiple Objective Linear Programming ◽  
Patient Allocation ◽  
Vector Mosquito ◽  
Vaccination Campaigns ◽  
Disease Focus

Dengue fever is a mosquito-borne disease that has rapidly spread throughout the last few decades. Most preventive mechanisms to deal with the disease focus on the eradication of the vector mosquito and vaccination campaigns. However, appropriate mechanisms of response are indispensable to face the consequent events when an outbreak takes place. This study applied single and multiple objective linear programming models to optimize the allocation of patients and additional resources during an epidemic dengue fever outbreak, minimizing the summation of the distance travelled by all patients. An empirical study was set in Ciudad del Este, Paraguay. Data provided by a privately run health insurance cooperative was used to verify the applicability of the models in this study. The results can be used by analysts and decision makers to solve patient allocation problems for providing essential medical care during an epidemic dengue fever outbreak.

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