@inproceedings{49db74fa902940fbbc993509c00dbb7a,
title = "Planning the capacity of hospital lifts for a new ambulatory block",
abstract = "In a regional acute general public hospital, a new multi-storey ambulatory care block is under construction to accommodate specialty out-patient clinics to meet future growth in patient demand. Hospital lifts play a key role in vertical transportation and are an expensive long-term investment. The building design includes several lift groups each serving different floors and targeting user groups in the new ambulatory block. The main objective of this study is to decide on the capacity in terms of number of lifts needed in each group. Statistical forecasting provides demand estimates for comparison with projected figures from staff. A simulation model is developed to study the performance of different capacities under three demand scenarios to find the right level of service in terms of lift waiting time performance. Sensitivity analysis of the capacities has provided comprehensive information for multiple stakeholders, including the Hospital Authority Head Office, hospital management and the building contractor, to finalize the capacity decision which would have a long-term impact on service quality and cost. {\textcopyright} ORLab Analytics Inc. All rights reserved.",
keywords = "Demand partitioning, Forecasting, Healthcare, Hospital lifts, Sensitivity analysis, Simulation",
author = "NG, \{Wing Cheong Jonathan\} and LIN, \{Ka Yuk Carrie\}",
year = "2016",
month = jun,
day = "28",
language = "English",
series = "Lecture Notes in Management Science",
publisher = "ORLab Analytics Inc.",
pages = "78--85",
editor = "Kaveh Sheibani and Nordlander, \{Tomas Eric\} and Roberto Montemanni",
booktitle = "Proceedings of the 8th International Conference on Applied Operational Research",
note = "8th International Conference on Applied Operational Research (ICAOR 2016) ; Conference date: 28-06-2016 Through 30-06-2016",
}