It’s been more than 100 years of aviation industry and since than it is continuously evolving not only in term of technologies but also in terms of its reach to common public for air transportation. Considering its widespread and multidimensional usage, aviation industry is still considered as a very risky business, which restrict new entrants to enter the market. This is not because of monopolized industry, but it is mainly due to several risk associated with this business, which are not limited to geopolitical, but also several other factors. A recent example can be considered from the COVID19 pandemic, when the whole world was on pause, and it made irreparable dents on aviation industry. Therefore, considering importance of aviation industry and associated risk, it is very important to review all possibilities to improve productivity of aircraft maintenance organization, which is not only beneficial for business owner but also for the customers by offering variety of services. This objective can only be achieved by a detailed qualitative analysis about the factors influencing aircraft maintenance organization’s workflow.

An aircraft is considered one of the most sophisticated combinations of complex technologies and is known as the safest and fastest mode of transportation. The aviation industry reached such a safety level by implementing continuous innovation and improvement in flying technologies embedded during aircraft production. Along with production, the aircraft manufacturer's team also establishes aircraft maintenance requirements to keep the aircraft airworthy during its life span. Soon after the aircraft's delivery to its owner or operator worldwide, the owners'/operators' responsibility is to maintain the aircraft and ensure airworthiness by performing the maintenance work at predefined intervals. Such maintenance activities are defined in two categories and performed by aircraft engineers under the Part-145 framework and aircraft maintenance organizational setup. The first category is line maintenance, which is comparatively light regarding the nature of work, and the second is base maintenance, which takes all the major work needed on the aircraft. This research paper will discuss the significance and challenges in aircraft base maintenance engineering within the aviation industry.

A massive gap exists between aircraft maintenance planning functions and aircraft maintenance engineering services. The airline industry requires a more effective solution to improve the utilization and efficiency of their maintenance planning and maintenance engineering personnel so that aircraft maintenance turnaround time can be reduced to the optimal level, as it is a significant factor contributing to improving aircraft serviceability and availability for more revenue flights and generate more business. This exploratory study evaluated the significance of maintenance planning within the airline industry. It aimed to find a solution to reduce the time spent in maintenance management in the turnaround process. It also attempted to discover opportunities for airlines to follow a proactive approach in identifying problems early, thus improving overall aircraft efficiency and reducing lost time.

The advancement of artificial intelligence (AI) has ushered in a new era of automation and autonomy in various industries. Among the most prominent beneficiaries of AI are autonomous vehicles, drones, and robotics, where AI plays a pivotal role in enhancing perception, navigation, and decision-making capabilities. This paper explores the application of AI in these domains and its transformative impact on their functionalities. This research paper delves into the rapidly evolving field of artificial intelligence (AI) applied to autonomous vehicles, drones, and robotics. The integration of AI technologies in these domains has revolutionized perception, navigation, and decision-making processes, making them more efficient, safe, and adaptable. This paper provides an in-depth analysis of the current state of AI in these sectors, including the key technologies, challenges, and future prospects. It emphasizes the critical role of AI in transforming these industries and discusses the potential societal impacts.

In the context of the aircraft Maintenance Repair and Overhaul (MRO) industry, Supply Chain Management (SCM) is paramount, as timely aircraft release per contractual agreements is imperative. Nevertheless, adhering to agreed-upon schedules remain a formidable challenge for MRO operations due to SCM-related issues, primarily delays in procuring aircraft components and inventory management complexities. This research paper is primarily dedicated to investigating two core aspects: the first one is the management, and the second one is the implementation of innovative tools in the supply chain domain, encompassing a broad spectrum of concerns. The findings of this study assess the impact of SCM on aircraft maintenance turnaround time, employing statistical analysis as the primary methodology.