<?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>2026-04-18T00:28:48Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:10230/44028" metadataPrefix="marc">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><record xmlns="http://www.loc.gov/MARC21/slim" 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://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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      <subfield code="a">dc</subfield>
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   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Morenza-Cinos, Marc</subfield>
      <subfield code="e">author</subfield>
   </datafield>
   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Casamayor Pujol, Víctor</subfield>
      <subfield code="e">author</subfield>
   </datafield>
   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Pous Andrés, Rafael</subfield>
      <subfield code="e">author</subfield>
   </datafield>
   <datafield ind2=" " ind1=" " tag="260">
      <subfield code="c">2020-03-25T14:48:25Z</subfield>
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   <datafield ind2=" " ind1=" " tag="260">
      <subfield code="c">2020-03-25T14:48:25Z</subfield>
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   <datafield ind2=" " ind1=" " tag="260">
      <subfield code="c">2019</subfield>
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      <subfield code="a">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.</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Retail</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Omnichannel retail</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Stock visibility</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Cycle counting</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Inventory Record Inaccuracy</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Radiofrequency Identification</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Robotics</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">IRI</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">RFID</subfield>
   </datafield>
   <datafield ind2="0" ind1="0" tag="245">
      <subfield code="a">Stock visibility for retail using an RFID robot</subfield>
   </datafield>
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