EURO-Online login
- New to EURO? Create an account
- I forgot my username and/or my password.
- Help with cookies
(important for IE8 users)
3304. A Structured Decision Making approach to Improve Population Health and Reduce Health Inequalities
Invited abstract in session MD-13: Methodological Developments in Soft OR and PSMs, stream Soft OR and Problem Structuring Methods.
Monday, 14:30-16:00Room: 15 (building: 116)
Authors (first author is the speaker)
| 1. | Shraddha Ghatkar
|
| Automatic Control and Systems Engineering, University of Sheffield | |
| 2. | Emma Comrie
|
| Management Science, University of Strathclyde | |
| 3. | Joao Duro
|
| Electrical and Electronics Engineering, University of Sheffield | |
| 4. | Ping Li
|
| University of Sheffield | |
| 5. | Corinna Elsenbroich
|
| University of Glasgow | |
| 6. | Visakan Kadirkamanathan
|
| University of Sheffield | |
| 7. | Robin Purshouse
|
| University of Sheffield |
Abstract
Multi-Criteria Decision Making (MCDM) and Multi-Criteria Decision Analysis (MCDA) are widely used with problem structuring methods to support thinking and decision-making in real-world applications. Within MCDM, Multi-Objective Optimization (MOO) is a commonly used method and yet, review of the literature highlights lack of studies employing a structured method to develop MOO problem formulation from a real-world application and to incorporate stakeholder involvement. Traditionally, research related to MOO focuses on development of solution algorithms, working with a pre-developed mathematical problem formulation. As part of an ongoing research consortium - SIPHER (Systems Science in Public Health and Health Economics Research), we are working with policy partners to develop a Decision Support Tool (DST) that can be used by budget holders in identifying where to target policy action while considering multiple and potentially conflicting outcomes and performance metrics at the same time. We have employed a mixed-method approach in the DST which combines participatory systems mapping with subject-matter experts, developing an evaluation model for the potential policy options and co-working with policy partners to elicit MOO problem formulations. In this presentation, we give rationale for using this approach, our experience of using it along with policy partners, lessons learned and future directions for research.
Keywords
- Decision Support Systems
- Problem Structuring
- Multi-Objective Decision Making
Status: accepted
Back to the list of papers