Optimising job dispatching at a smart pharmacy

As Singapore faces an aging population and labour crunch, the shortage of healthcare professionals to cope with the increase in demand for healthcare is a growing concern. To cope with this, hospitals have explored the use of technology to increase the operational efficiencies of hospitals. Through...

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Main Author: Liaw, Ying Qi
Other Authors: Wu Kan
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/78583
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-785832023-03-04T18:28:41Z Optimising job dispatching at a smart pharmacy Liaw, Ying Qi Wu Kan School of Mechanical and Aerospace Engineering Changi General Hospital DRNTU::Engineering::Mechanical engineering As Singapore faces an aging population and labour crunch, the shortage of healthcare professionals to cope with the increase in demand for healthcare is a growing concern. To cope with this, hospitals have explored the use of technology to increase the operational efficiencies of hospitals. Through the use of technology, hospitals hoped to diversify the nature of allied healthcare professionals and reduce the waiting time for patients. One such initiative was the Outpatient Pharmacy Automated System in the pharmacies of hospitals. This project focuses on the ways to further increase the efficiencies of an Outpatient Pharmacy Automated System to further reduce waiting time for patients. The problem was further broken down into two parts, Storage Assignment within the automated pharmacy and Routing Policy in dispensing drugs in the prescriptions. This project adapted strategies used by different Automated Storage and Retrieval Systems and drew parallels from Optimisation Theory to develop a unique set of mathematical models and algorithm which was applied onto the Outpatient Pharmacy Automated System. The new set of methodology was tested against the current methodology and conclusions with regards to the methods were made from the results obtained. Bachelor of Engineering (Mechanical Engineering) 2019-06-24T03:36:08Z 2019-06-24T03:36:08Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78583 en Nanyang Technological University 111 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering
spellingShingle DRNTU::Engineering::Mechanical engineering
Liaw, Ying Qi
Optimising job dispatching at a smart pharmacy
description As Singapore faces an aging population and labour crunch, the shortage of healthcare professionals to cope with the increase in demand for healthcare is a growing concern. To cope with this, hospitals have explored the use of technology to increase the operational efficiencies of hospitals. Through the use of technology, hospitals hoped to diversify the nature of allied healthcare professionals and reduce the waiting time for patients. One such initiative was the Outpatient Pharmacy Automated System in the pharmacies of hospitals. This project focuses on the ways to further increase the efficiencies of an Outpatient Pharmacy Automated System to further reduce waiting time for patients. The problem was further broken down into two parts, Storage Assignment within the automated pharmacy and Routing Policy in dispensing drugs in the prescriptions. This project adapted strategies used by different Automated Storage and Retrieval Systems and drew parallels from Optimisation Theory to develop a unique set of mathematical models and algorithm which was applied onto the Outpatient Pharmacy Automated System. The new set of methodology was tested against the current methodology and conclusions with regards to the methods were made from the results obtained.
author2 Wu Kan
author_facet Wu Kan
Liaw, Ying Qi
format Final Year Project
author Liaw, Ying Qi
author_sort Liaw, Ying Qi
title Optimising job dispatching at a smart pharmacy
title_short Optimising job dispatching at a smart pharmacy
title_full Optimising job dispatching at a smart pharmacy
title_fullStr Optimising job dispatching at a smart pharmacy
title_full_unstemmed Optimising job dispatching at a smart pharmacy
title_sort optimising job dispatching at a smart pharmacy
publishDate 2019
url http://hdl.handle.net/10356/78583
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