<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-14T03:34:54Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:10230/44028" metadataPrefix="qdc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:10230/44028</identifier><datestamp>2025-12-22T13:41:01Z</datestamp><setSpec>com_2072_6</setSpec><setSpec>col_2072_452952</setSpec></header><metadata><qdc:qualifieddc xmlns:qdc="http://dspace.org/qualifieddc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
   <dc:title>Stock visibility for retail using an RFID robot</dc:title>
   <dc:creator>Morenza-Cinos, Marc</dc:creator>
   <dc:creator>Casamayor Pujol, Víctor</dc:creator>
   <dc:creator>Pous Andrés, Rafael</dc:creator>
   <dc:subject>Retail</dc:subject>
   <dc:subject>Omnichannel retail</dc:subject>
   <dc:subject>Stock visibility</dc:subject>
   <dc:subject>Cycle counting</dc:subject>
   <dc:subject>Inventory Record Inaccuracy</dc:subject>
   <dc:subject>Radiofrequency Identification</dc:subject>
   <dc:subject>Robotics</dc:subject>
   <dc:subject>IRI</dc:subject>
   <dc:subject>RFID</dc:subject>
   <dcterms:abstract>Purpose - The combination of the latest advancements in Information and Communication Technolo-&#xd;
gies (ICT) with the latest developments in AutoID technologies, especially Radio Frequency Identification&#xd;
(RFID), brings the possibility of high-resolution, item-level visibility of the entire supply chain. In the&#xd;
particular case of retail, visibility of both the stock count and item location in the shop &#xd;
oor is crucial&#xd;
not only for an effective management of the retail supply chain, but also for physical retail stores to&#xd;
compete with on-line retailers. We propose an autonomous robot that can perform stock-taking using&#xd;
RFID for item level identification much more accurately and efficiently than the traditional method of&#xd;
using human operators with RFID handheld readers.&#xd;
Design/methodology/approach - This work follows the design science methodology. The article&#xd;
highlights a required improvement for an RFID inventory robot. The design hypothesis leads to a novel&#xd;
algorithm. Then the cycle of development and evaluation is iterated several times. Finally, conclusions&#xd;
are derived and a new basis for further development is provided.&#xd;
Findings - An autonomous robot for stock-taking is proven feasible. By applying a proper navigation&#xd;
strategy, coupled to the stream of identifications, the accuracy, precision, consistency and time to complete&#xd;
stock-taking are significantly better than doing the same task manually.&#xd;
Research limitations/implications - The main limitation of this work is the unavailability of data&#xd;
to analyse the actual impact on the correction of Inventory Record Inaccuracy (IRI) and its subsequent&#xd;
implications for supply chain management. Nonetheless, it is shown that figures of actual stock-tacking&#xd;
procedures can be significantly improved.&#xd;
Originality/value - This paper discloses the potential of deploying an inventory robot in the supply&#xd;
chain. The robot is called to be a key source of inventory data conforming item-level, high-resolution&#xd;
supply chain management and omnichannel retail.&#xd;
Theoretical/scientific contribution - The paper shows that a fully automated inventory process&#xd;
with an accuracy above 99% is possible combining RFID and autonomous robot technologies.&#xd;
Managerial contribution - This paper shows the managers of traditional retail chains how they&#xd;
can obtain in a cost-effective way a high resolution visibility of the stock in the retail &#xd;
oor. This visibility&#xd;
is necessary in order to both manage the supply chain more efficiently, and to implement the omnichannel&#xd;
processes necessary to remain competitive with respect to on-line retailers.</dcterms:abstract>
   <dcterms:issued>2020-03-25T14:48:25Z</dcterms:issued>
   <dcterms:issued>2020-03-25T14:48:25Z</dcterms:issued>
   <dcterms:issued>2019</dcterms:issued>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:type>info:eu-repo/semantics/acceptedVersion</dc:type>
   <dc:relation>International Journal of Physical Distribution and Logistics Management. 2019 Dec 10;49(10):1020-42.</dc:relation>
   <dc:rights>This is the peer reviewed version of the following article: Morenza-Cinos M, Casamayor-Pujol V, Pous R. Stock visibility for retail using an RFID robot. International Journal of Physical Distribution and Logistics Management. 2019 Dec 10;49(10):1020-42, which has been published by Emerald in final form at http://dx.doi.org/10.1108/IJPDLM-03-2018-0151</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:publisher>Emerald</dc:publisher>
</qdc:qualifieddc></metadata></record></GetRecord></OAI-PMH>