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Smart tools for Warehouse Optimization

Brodowicz, Patryk LU ; Cederberg, Felix LU and Ward, Philip LU (2024) FEKH38 20232
Department 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)
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author
Brodowicz, Patryk LU ; Cederberg, Felix LU and Ward, Philip LU
supervisor
organization
course
FEKH38 20232
year
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}},
}