Enhancement of the outbound operations : case: Valmet
Kuhlberg, Teemu (2024)
Kuhlberg, Teemu
2024
All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024121837116
https://urn.fi/URN:NBN:fi:amk-2024121837116
Tiivistelmä
It is vital for modern businesses to maintain effective and functional supply chains to secure a competitive advantage. Incorrect shipments not only increase lead times and costs but also negatively effects on a company’s reputation. Since warehouses serve as the backbone of supply chains, quality errors during warehousing operations could yield significant costs for global operations. Therefore, reducing these issues are critical.
Conducted research aimed to find ways to improve item knowledge and quality in the outbound processes at Valmet’s logistics centre. The goal was to find ways to enhance current situation by improving the technologies currently in use and assess, would there be better technologies available.
Using qualitative methods of data analysis, survey, and interview, research found that current “pick by scan” method, with an improved user interface and enhanced data, could provide benefits. Results indicated that providing descriptive and visible data is the best way to improve item knowledge and enhance quality in the given environment.
In conclusion, the study showed that providing sufficient data to warehouse operators could improve the “pick by label” system, and therefore improve available item knowledge and the quality in warehousing operations. This approach can help to reduce the costs associated with poor quality, allowing saved resources to be used into core operations.
Conducted research aimed to find ways to improve item knowledge and quality in the outbound processes at Valmet’s logistics centre. The goal was to find ways to enhance current situation by improving the technologies currently in use and assess, would there be better technologies available.
Using qualitative methods of data analysis, survey, and interview, research found that current “pick by scan” method, with an improved user interface and enhanced data, could provide benefits. Results indicated that providing descriptive and visible data is the best way to improve item knowledge and enhance quality in the given environment.
In conclusion, the study showed that providing sufficient data to warehouse operators could improve the “pick by label” system, and therefore improve available item knowledge and the quality in warehousing operations. This approach can help to reduce the costs associated with poor quality, allowing saved resources to be used into core operations.