Smart tools for Warehouse Optimization
(2024) FEKH38 20232Department of Business Administration
- Abstract
- AI-tools are increasingly important for efficient warehouse operation. This study aims to analyze if and how the independent variables; knowledge of AI-tools, ex- perience in AI-tools and degree of automation can explain the dependent variable inventory turnover rate. A survey was distributed to a sample within the logistics industry to measure knowledge, degree of automation and experience. This was combined with data regarding the companies’ performance in their warehouse ope- rations to demonstrate relationships. The study shows that knowledge, degree of automation and experience have a positive impact on performance in warehouse operations. This leads to the conclusion that companies with good competence in smart solutions och... (More)
- AI-tools are increasingly important for efficient warehouse operation. This study aims to analyze if and how the independent variables; knowledge of AI-tools, ex- perience in AI-tools and degree of automation can explain the dependent variable inventory turnover rate. A survey was distributed to a sample within the logistics industry to measure knowledge, degree of automation and experience. This was combined with data regarding the companies’ performance in their warehouse ope- rations to demonstrate relationships. The study shows that knowledge, degree of automation and experience have a positive impact on performance in warehouse operations. This leads to the conclusion that companies with good competence in smart solutions och automation have higher performance in their warehouse operations and thus future investments within the field is motivated. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9148149
- author
- Brodowicz, Patryk LU ; Cederberg, Felix LU and Ward, Philip LU
- supervisor
- organization
- course
- FEKH38 20232
- year
- 2024
- type
- M2 - Bachelor Degree
- subject
- keywords
- Operational Management, Artificial Intelligence, Automation, Data Analysis, Industry 4.0
- language
- Swedish
- id
- 9148149
- date added to LUP
- 2024-02-12 10:21:09
- date last changed
- 2024-02-12 10:21:09
@misc{9148149, abstract = {{AI-tools are increasingly important for efficient warehouse operation. This study aims to analyze if and how the independent variables; knowledge of AI-tools, ex- perience in AI-tools and degree of automation can explain the dependent variable inventory turnover rate. A survey was distributed to a sample within the logistics industry to measure knowledge, degree of automation and experience. This was combined with data regarding the companies’ performance in their warehouse ope- rations to demonstrate relationships. The study shows that knowledge, degree of automation and experience have a positive impact on performance in warehouse operations. This leads to the conclusion that companies with good competence in smart solutions och automation have higher performance in their warehouse operations and thus future investments within the field is motivated.}}, author = {{Brodowicz, Patryk and Cederberg, Felix and Ward, Philip}}, language = {{swe}}, note = {{Student Paper}}, title = {{Smart tools for Warehouse Optimization}}, year = {{2024}}, }