A TWO-STAGE AHP MULTI-OBJECTIVE SIMULATION OPTIMIZATION APPROACH IN HEALTHCARE
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Abstract
Quality of care is crucial for patients' satisfaction and safety in healthcare centers. The majority of hospitals attempt to implement facility-wide improvements to ensure high-quality care delivery. This study aims to propose a combined Simulation-Optimization and MCDM approach to accurately assess the impact of quality improvement initiatives on different facets of healthcare systems. In this framework, first, the importance (weights) of the different healthcare criteria is determined by health providers’ using an AHP approach. Then, the weights provided by AHP are applied in a simulation-optimization environment to determine the most efficient action with the most desirable quality of care. Simulation provides a platform to examine the effectiveness of different improvement efforts and calculate their impact on the system performance measures.
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Analytic Hierarchy Process, Multi-criteria Decision Making, Simulation-Optimization, Healthcare Operations
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