Detecting the Impact of Changes in Platelet Demand following the Implementation of PRT Platelets in Canada

Linden Smith, John Blake, John Blake

2024

Abstract

This paper describes tools to detect and estimate demand shifts for platelet products, through inventory monitoring, following the implementation of pathogen reduction (PR) technology at a pilot site in the Canadian Blood Services (CBS) network. A Statistical Process Control (SPC) framework was constructed to detect change points in inventory signals. A discrete event simulation is used to generate synthetic data for the inventory monitoring process. Both traditional forecasting and machine learning techniques were used to increase sensitivity to change detection and reduce time to detection by supplying the SPC algorithm with projected data. Experiments were run on data representative of changes in demand experienced at the pilot production site. It was found that larger shifts in demand had a higher probability of detection and a lower time to detection. Changes in demand, with an effect on the system larger than 10%, were almost always detected. Detection time varies greatly depending on the level of the demand shift. Typically, shifts greater than 25% have an average detection time of just over a week while shifts of less than 5% have an average detection time of up to 25 weeks.

Paper Citation

in Harvard Style

Smith L. and Blake J. (2024). Detecting the Impact of Changes in Platelet Demand following the Implementation of PRT Platelets in Canada. In Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH; ISBN 978-989-758-708-5, SciTePress, pages 229-236. DOI: 10.5220/0012718300003758

in Bibtex Style

@conference{simultech24,
author={Linden Smith and John Blake},
title={Detecting the Impact of Changes in Platelet Demand following the Implementation of PRT Platelets in Canada},
booktitle={Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH},
year={2024},
pages={229-236},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012718300003758},
isbn={978-989-758-708-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH
TI - Detecting the Impact of Changes in Platelet Demand following the Implementation of PRT Platelets in Canada
SN - 978-989-758-708-5
AU - Smith L.
AU - Blake J.
PY - 2024
SP - 229
EP - 236
DO - 10.5220/0012718300003758
PB - SciTePress