Assessing the Impact of Automating the Operational Processes at Khalifa Port Using Swot Analysis
Hazzaa Mohamed Aljneibi1, Hesham Helal2, Mohamed Elkersh3
DOI NO. https://doi.org/10.59660/50734
Received 22/02/2025, Revised 04/04/2025, Acceptance 14/05/2025, Available online and Published 01/07/2025

Abstract:

Khalifa Port’s journey towards automation is a strategic initiative that enhances its competitiveness, improves operational efficiency and its terminal operating systems in container terminal; supports global trade connectivity. As the port continues to evolve and adopt new technologies, it will not only solidify its position as a regional leader in the maritime industry but also contribute to the sustainability and growth of the UAE’s economy. By addressing weaknesses such as workforce gaps and capitalizing on opportunities like smart partnerships, Khalifa Port is poised to maintain its leadership role as a global hub for efficient, sustainable, and future-ready trade.

This research aims to evaluate the impact of automation on improving the efficiency and competitiveness of Khalifa Port, while also identifying any challenges or limitations that may prevent the port from fully achieving these objectives. This research follows a Descriptive approach using SWOT analysis. The research concluded that to ensure Khalifa Port’s continued competitiveness and future readiness, several strategic recommendations should be considered. First, investing in resilient technology is crucial. This involves prioritizing modular, upgradable automation systems that can adapt to future innovations, along with building redundancy protocols, such as backup power and manual override options, to mitigate risks of downtime. Key challenges and limitations include cybersecurity threats and technological obsolescence that may hinder operational stability and require costly updates. Intense regional competition and global economic shifts pose risks to return on automation investments. Additionally, social resistance to job displacement could lead to regulatory constraints.


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