Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/139112
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZhao, Huien_US
dc.contributor.authorWu, Kanen_US
dc.contributor.authorHuang, Edwarden_US
dc.date.accessioned2020-05-15T08:02:27Z-
dc.date.available2020-05-15T08:02:27Z-
dc.date.issued2018-
dc.identifier.citationZhao, H., Wu, K., & Huang, E. (2018). Clinical trial supply chain design based on the Pareto-optimal trade-off between time and cost. IISE Transactions, 50(6), 512-524. doi:10.1080/24725854.2017.1395978en_US
dc.identifier.issn2472-5854en_US
dc.identifier.urihttps://hdl.handle.net/10356/139112-
dc.description.abstractLong duration and high cost are two key characteristics of clinical trials. Since the clinical trial duration is part of the limited patent life and determines the time to market, its reduction is of critical importance. Although the duration can be reduced through increasing the number of clinical sites in the supply chain, the total enrollment and operational costs are also increased. Hence, Pareto-optimal supply chain configurations are used to improve clinical trial efficiency. In this study, we propose a multi-objective clinical site selection model that considers the trade-off between time and cost of clinical trials. An efficiency curve representing the Pareto-optimal trade-off is provided for decision makers to design the supply chain. To identify all Pareto-optimal supply chain configurations efficiently, we develop an algorithm based on proposed propositions. The optimality cuts are derived to improve the solving efficiency of this problem.en_US
dc.language.isoenen_US
dc.relation.ispartofIISE Transactionsen_US
dc.rights© 2018 IISE (Published by Taylor & Francis). All rights reserved.en_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.titleClinical trial supply chain design based on the Pareto-optimal trade-off between time and costen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.identifier.doi10.1080/24725854.2017.1395978-
dc.identifier.scopus2-s2.0-85041139171-
dc.identifier.issue6en_US
dc.identifier.volume50en_US
dc.identifier.spage512en_US
dc.identifier.epage524en_US
dc.subject.keywordsHealth Careen_US
dc.subject.keywordsNetwork Designen_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
Appears in Collections:MAE Journal Articles

SCOPUSTM   
Citations 50

2
Updated on Mar 2, 2021

PublonsTM
Citations 50

2
Updated on Mar 5, 2021

Page view(s)

150
Updated on Aug 16, 2022

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.