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Simulating the impact of digitalization on retail logistics efficiency
Citation Link: https://doi.org/10.15480/882.3126
Publikationstyp
Conference Paper
Date Issued
2020-09-23
Sprache
English
Author(s)
Herausgeber*innen
TORE-DOI
TORE-URI
First published in
Number in series
29
Start Page
77
End Page
111
Citation
Hamburg International Conference of Logistics (HICL) 29: 77-111 (2020)
Contribution to Conference
Publisher
epubli
Purpose: The study uses the results of an efficiency analysis for digitalization within a retail logistics blue-collar work system of professional truck drivers and aims to elaborate an ex-ante efficiency simulation approach for digitalization scenarios. Methodology: The simulation method combines the efficiency scores of Data Envel-opment Analysis (DEA), statistical bootstrapping, and regression analysis. By increas-ing the original sample size of n=30 truck drivers up to 60,000 samples through 2,000 bootstrap iterations, it is possible to gain a highly significant regression function. Findings: The mathematical simulation approach can be transferred to alternate scenarios in terms of forecasting efficiency development based on the experience distribution of the workforce. Originality: As the impact of digitalization on the efficiency of blue-collar work sys-tems is often unknown, this methodology could provide insights for logistics re-searchers and managers when estimating the efficiency impact of digitalization.
Subjects
logistics
Industry 4.0
digitalization
Innovation
supply chain management;
Artificial Intelligence
data science
DDC Class
330: Wirtschaft
380: Handel, Kommunikation, Verkehr
Publication version
publishedVersion
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Name
Loske and Klumpp (2020) - Simulating the impact of digitalization on retail logistics efficiency.pdf
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1.85 MB
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Adobe PDF