Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/77211
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dc.contributorInstitute of Textiles and Clothing-
dc.creatorPan, A-
dc.creatorHui, CL-
dc.date.accessioned2018-07-30T08:26:55Z-
dc.date.available2018-07-30T08:26:55Z-
dc.identifier.issn2040-2295en_US
dc.identifier.urihttp://hdl.handle.net/10397/77211-
dc.language.isoenen_US
dc.publisherHindawi Publishing Corporationen_US
dc.rightsCopyright © 2017 An Pan and Chi-Leung Hui. 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.en_US
dc.rightsThe following article: An Pan and Chi-Leung Hui, “Inventory Control System for a Healthcare Apparel Service Centre with Stockout Risk: A Case Analysis,” Journal of Healthcare Engineering, vol. 2017, Article ID 9210532, 2017, 1-12 is available at https://doi.org/10.1155/2017/9210532.en_US
dc.titleInventory control system for a healthcare apparel service centre with stockout risk : a case analysisen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume2017en_US
dc.identifier.doi10.1155/2017/9210532en_US
dcterms.abstractBased on the real-world inventory control problem of a capacitated healthcare apparel service centre in Hong Kong which provides tailor-made apparel-making services for the elderly and disabled people, this paper studies a partial backordered continuous review inventory control problem in which the product demand follows a Poisson process with a constant lead time. The system is controlled by an (Q,r) inventory policy which incorporate the stockout risk, storage capacity, and partial backlog. The healthcare apparel service centre, under the capacity constraint, aims to minimize the inventory cost and achieving a low stockout risk. To address this challenge, an optimization problem is constructed. A real case-based data analysis is conducted, and the result shows that the expected total cost on an order cycle is reduced substantially at around 20% with our proposed optimal inventory control policy. An extensive sensitivity analysis is conducted to generate additional insights.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of healthcare engineering, 2017, v. 2017, 9210532, p. 1-12-
dcterms.isPartOfJournal of healthcare engineering-
dcterms.issued2017-
dc.identifier.scopus2-s2.0-85039171981-
dc.identifier.ros2017000707-
dc.identifier.eissn2040-2309en_US
dc.identifier.artn9210532en_US
dc.identifier.rosgroupid2017000702-
dc.description.ros2017-2018 > Academic research: refereed > Publication in refereed journal-
dc.description.validate201811_a bcma; 201807 bcrcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera0408-n13en_US
dc.description.pubStatusPublisheden_US
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