Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Liao, Hung-Chang, Chen, Yan-Kwang, Wang, Ya-huei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
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
_version_ 1782391951357640704
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
work_keys_str_mv AT liaohungchang thestudyofanoptimalrobustdesignandadjustableorderingstrategiesinthehscm
AT chenyankwang thestudyofanoptimalrobustdesignandadjustableorderingstrategiesinthehscm
AT wangyahuei thestudyofanoptimalrobustdesignandadjustableorderingstrategiesinthehscm
AT liaohungchang studyofanoptimalrobustdesignandadjustableorderingstrategiesinthehscm
AT chenyankwang studyofanoptimalrobustdesignandadjustableorderingstrategiesinthehscm
AT wangyahuei studyofanoptimalrobustdesignandadjustableorderingstrategiesinthehscm