This study is a research around an issue encountered by MyEasyLab, a laboratory involved in asbestos testing for the French market. They are facing a problem of sample losses, which is hardly acceptable, especially when growing on a highly competitive and price driven market. They are therefore looking for ways to have a better traceability of their samples. The technicians were observed to identify their needs and the problems the company is facing. This study is presenting as a result two complementary solutions: the reorganization of the working space, and the usage of the RFID (Radio Frequency Identification) technology to track the samples. The reorganization of the room using the 5S method should enable a more optimized way of working. This method initially used in the industry early on by Toyota, enables to optimize the flows (goods, person, waste …) in a sustainable way. The use of RFID presents the opportunity of a deep change in the whole process of the company, from the client to the labs. Bags already tagged RFID could be sent to the clients for their sample collection, enabling traceability from the beginning of the chain. The samples could, using RFID, be detected as they enter the site, leave the site and if they are in an undesired location (for example in the trash). The RFID technology is also an opportunity to facilitate the work of the technician, with a possibility to save around 4h15 of working time per day. The kind of tags that seems the most appropriate for this application is passive UHF tags. They present the advantages of being cheaper, easier to buy in bulk and readable from longer distances. Even though the RFID technology is often seen as expensive, a return on investment seems possible for a tag price under 0.08€. Further experimental tests need to be realized to refine the results of this study.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kth-291123 |
Date | January 2021 |
Creators | Falcand, Elie |
Publisher | KTH, Kemiteknik |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
Relation | TRITA-CBH-GRU ; 2021:009 |
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