Name
Abstract | ||
|---|---|---|
When allocating community-based health services for a geographically defined region, health planners are often faced with the serious conflict for improved health service and a limited budget. This paper extends the cost-based P-median location-allocation model (Daskin & Dean, 2005) to include a public service element and uses the non-inferior set estimation (NISE) method for evaluation of cost/service trade-offs. Service is measured by the percentage of demand volume that can be served within exogenously specified coverage distances. Importantly, we evaluate the efficiency (i.e. the relative cost and service) of the non-inferior solutions of our model using the commonly used ''population-based'' allocation policy as standard. Computational results illustrate the value of our model under several practical problem settings. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.cie.2013.03.008 | Computers & Industrial Engineering |
Keywords | Field | DocType |
improved health service,relative cost,public service element,allocation policy,cost-based p-median location-allocation model,health planner,community-based health service,non-inferior set estimation,efficiency evaluation,non-inferior solution,service trade-offs,multi objective optimization,health care | Health care,Economics,Public service,Location-allocation,Multi-objective optimization,Health services,Operations management,Set estimation | Journal |
Volume | Issue | ISSN |
65 | 3 | 0360-8352 |
Citations | PageRank | References |
3 | 0.39 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mengyu Guo | 1 | 4 | 1.41 |
| Bin-Feng Li | 2 | 19 | 3.10 |
| Zhi-Hai Zhang | 3 | 64 | 10.39 |
| Su Wu | 4 | 16 | 4.41 |
| Jie Song | 5 | 34 | 4.14 |