Towards an internet-of-things framework for assisting quality-controlled-logistics decision making within the fresh produce supply chain

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dc.contributor.authorJoubert, Lelanien_ZA
dc.contributor.authorLouw, Louisen_ZA
dc.date.accessioned2020-02-28T13:51:39Z
dc.date.available2020-02-28T13:51:39Z
dc.date.issued2018
dc.descriptionCITATION: Joubert, L. & Louw, L. 2018. Towards an internet-of-things framework for assisting quality-controlled-logistics decision making within the fresh produce supply chain. In SAIIE29 Proceedings, 24-26 October 2018, Spier, Stellenbosch, South Africa.
dc.descriptionThe original publication is available at https://conferences.sun.ac.za/index.php/saiie29/saiie29/schedConf/presentations
dc.description.abstractFresh food is mainly wasted due to overproduction and the natural decay of food quality which cannot be prevented. Hence, actors in the fresh food supply chain are responsible to monitor and control activities that influences the quality of fresh food. The emergence of new technologies such as Internet-of-Things (IoT) creates the opportunity to collect real-time food quality information, which may be used to assist and adapt logistic activities to ensure that food quality remains in the accepted quality limits. The aim of this paper is to identify current knowledge on quality-controlled logistics (QCL) in the fresh produce industry, and to identify whether there are opportunities to implement IoT-technologies, from the perspective of experts working in the fresh produce industry.en_ZA
dc.description.urihttps://conferences.sun.ac.za/index.php/saiie29/saiie29/paper/view/3583
dc.description.versionPublisher's version
dc.format.extent14 pages
dc.identifier.citationJoubert, L. & Louw, L. 2018. Towards an internet-of-things framework for assisting quality-controlled-logistics decision making within the fresh produce supply chain. In SAIIE29 Proceedings, 24-26 October 2018, Spier, Stellenbosch, South Africa
dc.identifier.urihttp://hdl.handle.net/10019.1/107555
dc.language.isoen_ZAen_ZA
dc.publisherSouth African Institute for Industrial Engineering
dc.rights.holderAuthors retain copyright
dc.subjectFresh produce supply chain -- Decision makingen_ZA
dc.subjectBusiness logisticsen_ZA
dc.subjectProduce trade -- Quality controlen_ZA
dc.subjectInternet of things -- Use studiesen_ZA
dc.titleTowards an internet-of-things framework for assisting quality-controlled-logistics decision making within the fresh produce supply chainen_ZA
dc.typeConference Paperen_ZA
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