Authors : Billy Anthony Hudson

Volume/Issue : Volume 9 - 2024, Issue 9 - September

Google Scholar : https://tinyurl.com/56tn4tjn

Scribd : https://tinyurl.com/3jc5wmj9

DOI : https://doi.org/10.38124/ijisrt/IJISRT24SEP923

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : This study investigates the effect of weighbridges on logistics timeliness along the Dar es Salaam-Tunduma route, focusing on three key factors: weighbridge capacity, operations, and the number of weighbridges. By employing a combination of quantitative regression analysis and qualitative insights from logistics professionals, summary tables for the analysis of the data, results revealed that weighbridge capacity and operations significantly impact logistics timeliness. Specifically, increasing weighbridge capacity is positively associated with improved logistics timeliness, reducing congestion and long queue delays. Conversely, inefficiencies in weighbridge operations, such as slow documentation handling and technical issues, negatively affect logistics timeliness. The study underlines the importance of enhancing weighbridge capacity and optimizing operational efficiency to mitigate delays and improve logistics performance. Moreover, in contrast, the number of weighbridges encountered shows a weak negative correlation with logistics timeliness, which is not statistically significant. This suggests that while additional weighbridges may contribute to delays, their impact is less critical than capacity and operational efficiency. The qualitative insights from logistics professionals support these findings, highlighting the need for improvements in weighbridge capacity and operations to streamline the logistics process and reduce delays. The study's findings hold practical implications for logistics operators, policymakers, and infrastructure planners. This research contributes to a deeper understanding of weighbridge-related factors and their impact on logistics timeliness, offering actionable recommendations for improving transportation networks.

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