Hospital-Location Classification and Analysis in the Healthcare Cold Chain using K-means Algorithm
Issued Date
2022-01-01
Resource Type
Scopus ID
2-s2.0-85146869370
Journal Title
8th International Conference on Engineering and Emerging Technologies, ICEET 2022
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SCOPUS
Bibliographic Citation
8th International Conference on Engineering and Emerging Technologies, ICEET 2022 (2022)
Suggested Citation
Niemsakul J., Ransikarbum K., Singkarin D. Hospital-Location Classification and Analysis in the Healthcare Cold Chain using K-means Algorithm. 8th International Conference on Engineering and Emerging Technologies, ICEET 2022 (2022). doi:10.1109/ICEET56468.2022.10007286 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/84316
Title
Hospital-Location Classification and Analysis in the Healthcare Cold Chain using K-means Algorithm
Author(s)
Author's Affiliation
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Abstract
Logistics and supply chain management for the healthcare sector is concerned with activities related to production, storage, and distribution. Relevant stakeholders are from various parties, which are inclusive of material supplier, manufacturer, distribution center, regional hospital, provincial hospital, as well as patients. In this research, we analyze the locational data of hospital using a case study of hospitals in Thailand to evaluate potential locational center acting as a central storage and distribution centers. Initially, we apply the K-means algorithm to classify hospital locational data into a specified number of classification groups. Then, the location model based on rectilinear distance is formulated and minimized to evaluate potential locations for the central storage and distribution centers. Our initial study provides promising result and is subject to the on-going development of the healthcare cold chain model in our research study.