scholarly journals A novel healthcare resource allocation decision support tool: A forecasting-simulation-optimization approach

Author(s):  
Muhammed Ordu ◽  
Eren Demir ◽  
Chris Tofallis ◽  
Murat M. Gunal
2013 ◽  
Vol 141 (1) ◽  
pp. 269-276 ◽  
Author(s):  
Sharif H. Melouk ◽  
Nickolas K. Freeman ◽  
David Miller ◽  
Michelle Dunning

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2022 ◽  
Author(s):  
Shojaeizadeh ◽  
Geza ◽  
McCray ◽  
Hogue

A site-scale integrated decision support tool (i-DSTss) is developed for selection and sizing of stormwater Best Management Practices (BMPs). The tool has several component modules—hydrology, BMP selection, BMP sizing, and life-cycle cost analysis (LCCA)—integrated into a single platform. The hydrology module predicts runoff from small catchment on event and continuous basis using the Green-Ampt and Curve Number methods. The module predicted runoff from a small residential area and a parking lot with R2 value of 0.77 and 0.74, respectively. The BMP selection module recommends a BMP type appropriate for a site based on economic, technical, social and environmental criteria using a multi-criteria optimization approach. The BMP sizing module includes sizing options for green roofs, infiltration-based BMPs, and storage-based BMPs. A mass balance approach is implemented for all types of BMPs. The tool predicted outflow rates from a permeable pavement with R2 value of 0.89. A cost module is included where capital, operation and maintenance, and rehabilitation costs are estimated based on BMP size obtained from the sizing module. The i-DSTss is built on an accessible platform (Microsoft Excel VBA) and can be operated with a basic skillset. The i-DSTss is intended for designers, regulators, and municipalities for quick analysis of scenarios involving interaction among several factors.


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