Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/78583
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dc.contributor.authorLiaw, Ying Qi
dc.date.accessioned2019-06-24T03:36:08Z
dc.date.available2019-06-24T03:36:08Z
dc.date.issued2019
dc.identifier.urihttp://hdl.handle.net/10356/78583
dc.description.abstractAs 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.en_US
dc.format.extent111 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Mechanical engineeringen_US
dc.titleOptimising job dispatching at a smart pharmacyen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorWu Kanen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.degreeBachelor of Engineering (Mechanical Engineering)en_US
dc.contributor.organizationChangi General Hospitalen_US
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Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)
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