Abstract:The article focuses on expanding the use of barcodes in selected logistics activities in a company. Our study discusses the application of barcode technology to selected logistics activities in the company in order to address the error rate in these activities and to control ownership of this technology in other logistics activities within the company during the COVID-19. The priority of the testing phase was to point out the elimination of errors in the original versus the newly proposed solution for the comp… Show more
“…The size and position of the barcode on the product should be determined based on the symbology and printing technology, while the quality of the barcode can be assessed using an ISO/IECbased verifier [46]. The evolution of barcodes is making great progress, while future development will be based on RFID scanning technology [47], which enables the mass deployment of data carriers such as UHF EPC/RFID and HF EPC/RFID. The impact of RFID technology on the efficiency of logistics processes in retail supply chains has been analysed in [48].…”
Section: Demystification Of Product Master Data and Logistic Datamentioning
Background: The importance of up-to-date product master data in the digital age should not be underestimated. However, companies still struggle to ensure high-quality product data, especially in the field of logistics. Hence, the focus of our research lies in the disregard of the importance of product data quality to the performance of logistics processes. Methods: The analysis of the influence of product data on the performance of logistics processes was carried out using data from two fast-moving consumer goods (FMCG) distribution and retail companies. Data were gathered via interviews, while process activities were timed using a stopwatch, and interruptions were documented. The significance of the impact was determined using inferential statistical procedures based on the variable and the measurement scale type employed. Results: The quality of product master data has a significant impact on the performance of logistics processes; while managers are aware of the complications, they lack the motivation to detect and analyse such inaccuracies. Conclusion: The findings enhance comprehension of the obstacles generated by inadequate product data in logistics, which obstruct optimisation, and offer numerical proof of the impact of product data quality on logistics performance, thus expanding the current body of research.
“…The size and position of the barcode on the product should be determined based on the symbology and printing technology, while the quality of the barcode can be assessed using an ISO/IECbased verifier [46]. The evolution of barcodes is making great progress, while future development will be based on RFID scanning technology [47], which enables the mass deployment of data carriers such as UHF EPC/RFID and HF EPC/RFID. The impact of RFID technology on the efficiency of logistics processes in retail supply chains has been analysed in [48].…”
Section: Demystification Of Product Master Data and Logistic Datamentioning
Background: The importance of up-to-date product master data in the digital age should not be underestimated. However, companies still struggle to ensure high-quality product data, especially in the field of logistics. Hence, the focus of our research lies in the disregard of the importance of product data quality to the performance of logistics processes. Methods: The analysis of the influence of product data on the performance of logistics processes was carried out using data from two fast-moving consumer goods (FMCG) distribution and retail companies. Data were gathered via interviews, while process activities were timed using a stopwatch, and interruptions were documented. The significance of the impact was determined using inferential statistical procedures based on the variable and the measurement scale type employed. Results: The quality of product master data has a significant impact on the performance of logistics processes; while managers are aware of the complications, they lack the motivation to detect and analyse such inaccuracies. Conclusion: The findings enhance comprehension of the obstacles generated by inadequate product data in logistics, which obstruct optimisation, and offer numerical proof of the impact of product data quality on logistics performance, thus expanding the current body of research.
“…Az adatáramlás területén leggyakrabban a vállalatirányítási rendszerekben (ERP -Enterprise Resource Planning) felmerülő problémák kerültek kiemelésre a felhasznált forrásokban, illetve az egyéb informatikai rendszerek, amelyek a vállalati működést segítik [3], [9], [20], [21]. Ebben az esetben leggyakoribb nehézség az emberi tévesztésből és pontatlanságból adódik [16], [17], [19]. Adatáramlási hibaként említik az adatok különböző módon való gyűjtését a logisztikai folyamatok során, amely az integráltságot -mint fontos jellemzőjét a vállalatirányítási rendszereknekmegbontja.…”
A cikk a vállalati működés során előforduló adatáramlási és anyagmozgási hibákra és lehetséges megoldásaikra, illetve ezek felismerhetőségét biztosító jelek gyűjtésére, strukturálására és elemzésére fókuszál. A kutatás célja egy gyakorlatban és elméleti szinten is használható eljáráscsomag létrehozása, mellyel az ezeken a területeken felmerülő hibák könnyen és gyorsan felismerhetővé és kiszűrhetővé válnak. Ezen felül egy helyen a megoldások, illetve ezek előnyei és hátrányai, valamint bevezetési idejük is megtalálhatóak legyenek, kapcsolódó mintapéldákkal együtt.
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