2026-10-06T06:19:15Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33442582 2026-10-05T11:25:12Z category_28846 category_27142 category_24601 item_type_3 month_year_10_2026

DentDES: code, synthetic data and results for a factorial discrete-event evaluation of appointment spacing and readiness-aware dispatch in dental clinics Mehmet Ali Akyol (13268343) Fatemeh Astaraki (25311567) Modelling and simulation Health services and systems not elsewhere classified Dentistry not elsewhere classified dental operations discrete-event simulation appointment scheduling instrument availability patient flow resource coordination paired experiments healthcare operations synthetic data SimPy <p dir="ltr">Code, synthetic input data, archived results and diagnostics for the paper "DentDES: A Factorial Discrete-Event Evaluation of Appointment Spacing and Readiness-Aware Dispatch in Dental Clinics" (ISMSIT 2026).</p><p dir="ltr">The Python and SimPy model compares two appointment-spacing rules and two dispatch rules (strict first-come-first-served and readiness-aware dispatch with a bypass bound of two) across four demand levels and three instrument-kit capacities. Each condition has 50 paired replication blocks of 30 clinic days (72,000 clinic-day runs). The archive also contains 36,000 exploratory diagnostic runs, validation scripts and recorded checks.</p><p dir="ltr">All inputs are synthetic and no patient data were used. Results describe the model and are not estimates of effects in a real clinic. Code is MIT-licensed. Data, results and documentation are CC BY 4.0. See README.md to reproduce and validate: python validate.py --replay-all.</p> 2026-10-05T11:25:12Z Dataset Dataset 10.6084/m9.figshare.33442582.v1 https://figshare.com/articles/dataset/DentDES_code_synthetic_data_and_results_for_a_factorial_discrete-event_evaluation_of_appointment_spacing_and_readiness-aware_dispatch_in_dental_clinics/33442582 CC BY 4.0