Possible Impact of Robotics and Artificial Intelligence on Oman’s Logistics Sector: A Review

Author:

Ahmed Muhammad,Khan Asma Ghafoor,Naidu Vikas Rao

Abstract

Changing times require industries to adopt ever-changing technologies in order to stay afloat and compete at the global stage. The logistics industry is experiencing a global boom due to progress in the e-commerce sector and ever-increasing consumer needs of the modern world. Oman’s long-term vision includes logistic sector as one the main contributors to the country’s GDP. Sea Ports such as Sohar and Al Duqm are another indication of the Sultanate’s ambitions to diversify the economy for the post-oil era. The logistics sector in Oman needs to adopt technology that not only helps it with improving its operations but helps reshape the industry standards in Oman. Robot adoption is the latest trend in the global logistics industry and Oman’s leading logistics companies need to adopt it too. The combination of logistic robots and right artificial intelligent programming can do wonders for a company. Artificial intelligence complements robotics to achieve their tasks more efficiently and helps with better robot maintenance. Oman’s logistics sector can benefit greatly from the introduction of logistic robots on both practical fronts as well as the marketing front. A research was conducted based on one of Oman’s leading and most prominent logistics company to identify the level of robotics and artificial intelligence in use. The descriptive approach of research was applied to attain the required data through both quantitative and qualitative means. Interviews and surveys were conducted in order to justify the requirement of the proposed research. The aim of the study was to build a case for implementation of robotics in conjunction with artificial intelligence in Oman’s logistics sector in order for Oman’s logistics sector to fulfil its potential and compete at global stage.

Publisher

rScroll

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on Robot Operating System (ROS) Integration in Automated Logistics;Applied Mathematics and Nonlinear Sciences;2024-01-01

2. Automatic annotation method of VR speech corpus based on artificial intelligence;International Journal of Speech Technology;2022-02-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3