Assessing Trade-offs among Multiple Objectives for Humanitarian Aid Delivery Using Expert Preferences
| Autor: | Jarrod Goentzel, Erica Gralla, Charles H. Fine |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Prioritization
Humanitarian aid business.industry Computer science media_common.quotation_subject Trade offs Commodity Management Science and Operations Research Industrial and Manufacturing Engineering Conjoint analysis Emergency response Risk analysis (engineering) Management of Technology and Innovation Key (cryptography) Operations management business Function (engineering) media_common |
| Zdroj: | Production and Operations Management. 23:978-989 |
| ISSN: | 1059-1478 |
| DOI: | 10.1111/poms.12110 |
| Popis: | Humanitarian aid agencies deliver emergency supplies and services to people affected by disasters. Scholars and practitioners have developed modeling approaches to support aid delivery planning, but they have used objective functions with little validation as to the trade-offs among the multiple goals of aid delivery. We develop a method to value the performance of aid delivery plans based on expert preferences over five key attributes: the amount of cargo delivered, the prioritization of aid by commodity type, the prioritization of aid by delivery location, the speed of delivery, and the operational cost. Through a conjoint analysis survey, we measure the preferences of 18 experienced humanitarian logisticians. The survey results quantify the importance of each attribute and enable the development of a piecewise linear utility function that can be used as an objective function in optimization models. The results show that the amount of cargo delivered is the most valued objective and cost the least important. In addition, experts prioritize more vulnerable communities and more critical commodities, but not to the exclusion of others. With these insights and the experts' utility functions, better humanitarian objective functions can be developed to enable better aid delivery in emergency response. |
| Databáze: | OpenAIRE |
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