Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Analysing Workforce Utilization in Third-Party Logistics Operations

Authors: Anbunathan K, Dr.P.Syamsundar;

Analysing Workforce Utilization in Third-Party Logistics Operations

Abstract

Third-Party Logistics (3PL) providers play a vital role in supply chain management by handling warehousing, transportation, inventory control, and manpower deployment. In manpower-intensive warehouse operations, efficient workforce utilization is essential for improving operational productivity, minimizing delays, and maintaining service quality. This study examines workforce utilization in a thirdparty logistics warehouse by analyzing key operational factors such as manpower allocation, shift scheduling, technology adoption, and storage and packing efficiency. The research adopts a descriptive research design and uses a census method covering 80 employees across inbound, outbound, inventory, and transport departments. Primary data were collected through structured questionnaires, and reliability testing using Cronbach’s Alpha indicated strong internal consistency (α = 0.841). Multiple regression analysis revealed a significant positive relationship between composite operational factors and internal process performance (R = 0.571, R² = 0.326, p < 0.001). The findings indicate that systematic workforce planning, balanced manpower distribution, and technology-enabled operations significantly enhance logistics efficiency. The study provides practical managerial insights for improving manpower utilization and operational performance in 3PL warehouse environments.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!