Whether the AGV/AMR can be used in e-commerce
Zhou, Keyi (2022)
2022
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2022062419121
https://urn.fi/URN:NBN:fi:amk-2022062419121
Tiivistelmä
At a time when labor is becoming more and more expensive in Europe, replacing workers with robots will reduce amount of money that is spend by companies on employees. Meanwhile, the number of people of working age is declining in some Asian countries. Automated warehouses can ease the burden of finding staff. To do so, choosing the proper AGV/ AMR in warehouse is not only optimizes the use of warehouse land space, but also increase efficiency and decreases the rate of damaged cargo.
The purposes of research was to analysis, highlight and illustrate how picking robots were changing the status quo in e-commerce warehouses. It was also examining what were benefits and risks of using robots for warehousing. Equipment and technology for automated warehouses required high investment upfront. Consequently, uncertainty of recouping capital was deterred many small and medium-sized e-commerce companies from taking the risk. My goal was to help more hesitant online sellers by analyzing the performance, pros and cons of the picking robot's equipment available on the market.
Qualitative and desk research methods were gathered in this paper for accomplishing the goals, because it is less common today for articles on AGV to be analyzed as a whole, usually experimented with a particular technology or algorithm. Massive data were used in article which involved scholarly journals, peer-reviewed papers, white paper, and expert statements. As a result, the data within the automated warehouse was traceable. Data could be used to optimize the path of picking robots or to adjust the layout of the shelves in the warehouse. The increased speed of dispatch made it possible to improve the competitiveness of e-commerce platforms. Furthermore, the data collected can also contributed to other areas such as goods sorting and customer management.
The purposes of research was to analysis, highlight and illustrate how picking robots were changing the status quo in e-commerce warehouses. It was also examining what were benefits and risks of using robots for warehousing. Equipment and technology for automated warehouses required high investment upfront. Consequently, uncertainty of recouping capital was deterred many small and medium-sized e-commerce companies from taking the risk. My goal was to help more hesitant online sellers by analyzing the performance, pros and cons of the picking robot's equipment available on the market.
Qualitative and desk research methods were gathered in this paper for accomplishing the goals, because it is less common today for articles on AGV to be analyzed as a whole, usually experimented with a particular technology or algorithm. Massive data were used in article which involved scholarly journals, peer-reviewed papers, white paper, and expert statements. As a result, the data within the automated warehouse was traceable. Data could be used to optimize the path of picking robots or to adjust the layout of the shelves in the warehouse. The increased speed of dispatch made it possible to improve the competitiveness of e-commerce platforms. Furthermore, the data collected can also contributed to other areas such as goods sorting and customer management.