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The Study of an Optimal Robust Design and Adjustable Ordering Strategies in the HSCM
The purpose of this study was to establish a hospital supply chain management (HSCM) model in which three kinds of drugs in the same class and with the same indications were used in creating an optimal robust design and adjustable ordering strategies to deal with a drug shortage. The main assumption...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4584217/ https://www.ncbi.nlm.nih.gov/pubmed/26451162 http://dx.doi.org/10.1155/2015/517245 |
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author | Liao, Hung-Chang Chen, Yan-Kwang Wang, Ya-huei |
author_facet | Liao, Hung-Chang Chen, Yan-Kwang Wang, Ya-huei |
author_sort | Liao, Hung-Chang |
collection | PubMed |
description | The purpose of this study was to establish a hospital supply chain management (HSCM) model in which three kinds of drugs in the same class and with the same indications were used in creating an optimal robust design and adjustable ordering strategies to deal with a drug shortage. The main assumption was that although each doctor has his/her own prescription pattern, when there is a shortage of a particular drug, the doctor may choose a similar drug with the same indications as a replacement. Four steps were used to construct and analyze the HSCM model. The computation technology used included a simulation, a neural network (NN), and a genetic algorithm (GA). The mathematical methods of the simulation and the NN were used to construct a relationship between the factor levels and performance, while the GA was used to obtain the optimal combination of factor levels from the NN. A sensitivity analysis was also used to assess the change in the optimal factor levels. Adjustable ordering strategies were also developed to prevent drug shortages. |
format | Online Article Text |
id | pubmed-4584217 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-45842172015-10-08 The Study of an Optimal Robust Design and Adjustable Ordering Strategies in the HSCM Liao, Hung-Chang Chen, Yan-Kwang Wang, Ya-huei Comput Math Methods Med Research Article The purpose of this study was to establish a hospital supply chain management (HSCM) model in which three kinds of drugs in the same class and with the same indications were used in creating an optimal robust design and adjustable ordering strategies to deal with a drug shortage. The main assumption was that although each doctor has his/her own prescription pattern, when there is a shortage of a particular drug, the doctor may choose a similar drug with the same indications as a replacement. Four steps were used to construct and analyze the HSCM model. The computation technology used included a simulation, a neural network (NN), and a genetic algorithm (GA). The mathematical methods of the simulation and the NN were used to construct a relationship between the factor levels and performance, while the GA was used to obtain the optimal combination of factor levels from the NN. A sensitivity analysis was also used to assess the change in the optimal factor levels. Adjustable ordering strategies were also developed to prevent drug shortages. Hindawi Publishing Corporation 2015 2015-09-14 /pmc/articles/PMC4584217/ /pubmed/26451162 http://dx.doi.org/10.1155/2015/517245 Text en Copyright © 2015 Hung-Chang Liao et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liao, Hung-Chang Chen, Yan-Kwang Wang, Ya-huei The Study of an Optimal Robust Design and Adjustable Ordering Strategies in the HSCM |
title | The Study of an Optimal Robust Design and Adjustable Ordering
Strategies in the HSCM |
title_full | The Study of an Optimal Robust Design and Adjustable Ordering
Strategies in the HSCM |
title_fullStr | The Study of an Optimal Robust Design and Adjustable Ordering
Strategies in the HSCM |
title_full_unstemmed | The Study of an Optimal Robust Design and Adjustable Ordering
Strategies in the HSCM |
title_short | The Study of an Optimal Robust Design and Adjustable Ordering
Strategies in the HSCM |
title_sort | study of an optimal robust design and adjustable ordering
strategies in the hscm |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4584217/ https://www.ncbi.nlm.nih.gov/pubmed/26451162 http://dx.doi.org/10.1155/2015/517245 |
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