Szczegóły publikacji
Opis bibliograficzny
Reference-point sensitivity analysis in multi-criteria hospital physician scheduling: an empirical study / Natalia Dybczak, Bartosz SAWIK // Expert Systems with Applications ; ISSN 0957-4174 . — 2027 — vol. 333 Pt. G art. no. 134265, s. 1–39. — Bibliogr. s. 39, Abstr. — Publikacja dostępna online od: 2026-09-03. — B. Sawik - dod. afiliacje: Public University of Navarra, Pamplona, Spain ; University of California at Berkeley, USA ; OEMCROS, Zakopane, Poland
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 170113 |
|---|---|
| Data dodania do BaDAP | 2026-09-28 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.eswa.2026.134265 |
| Rok publikacji | 2027 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Expert Systems with Applications |
Abstract
Hospital physician scheduling requires balancing regulatory feasibility, workforce well-being, and financial constraints under conflicting operational priorities. Despite numerous optimization approaches for healthcare rostering, systematic analysis of how managerial policy settings shape trade-offs between cost, satisfaction, and equity remains limited. This study proposes a structured multi-phase optimization framework combining lexicographic prioritization with reference-point-based Chebyshev scalarization. The model first enforces coverage feasibility and minimizes external hiring, after which quality-related criteria are optimized through deviation minimization from managerial targets. To investigate system-level behavior rather than a single schedule outcome, a controlled 3 × 3 reference-point sensitivity grid is constructed, varying budget pressure and satisfaction ambition. Additional stress scenarios examine robustness under severe financial constraints. Computational experiments on a real-world-inspired monthly hospital instance reveal asymmetric relationships between cost and satisfaction, structural plateau effects beyond a budget threshold, and differentiated impacts of fairness metrics on perceived workload balance. In particular, allocation of the most demanding shifts is shown to exert a stronger influence on satisfaction dynamics than routine workload dispersion. The results demonstrate how structured reference-point sensitivity analysis can provide deeper insight into the geometry of policy-driven trade-offs in hospital workforce planning, supporting more transparent and evidence-based managerial decision-making.
