Aviation Logistics Research Articles

Forecast Analysis of Fruit Supply Using Time-Series Method: A Study at PT Aerofood Indonesia

PT Aerofood Indonesia is an entity operating in the aviation logistics industry, specifically as a partner of the Garuda Indonesia airline. The main problem faced is the tendency to have excessive supplies of raw materials, especially in the aspect of purchasing fruit because it is susceptible to damage. This phenomenon often recurs and peaks beyond dry goods capacity limits, especially the availability of papaya fruit which often exceeds capacity by more than 50%. Therefore, this research aims to identify the optimal forecasting method for papaya fruit to overcome the problem of excessive stock. In this research, four forecasting approaches were tested, namely Trend Analysis, Single Average Exponential, Double Average Exponential, and Holt's Winter Method. Forecasting calculations were carried out using a manual approach and supported by Minitab 18 software. The research results showed that the Holt's Winter method with a multiplicative approach produced the lowest Mean Absolute Percentage Error (MAPE), namely 16%. The Holt's Winter method with a multiplicative approach has proven to be effective in producing accurate forecasts. By implementing this recommended forecasting method, it is hoped that companies can be more efficient in managing inventory and reduce the impact of losses due to excess stock.

The Role of Aviation Logistics in Increasing Airline Competitiveness

The Role of Aviation Logistics in Increasing Airline Competitiveness

Modeling and simulation analysis of optimal layout scheme of aviation logistics park based on genetic algorithm

AbstractAs an important component of modern logistics industry, aviation logistics parks address the problems of unreasonable layout and low efficiency in traditional planning and construction methods. The study first constructed a grid model for optimizing the layout of functional areas in the aviation logistics park, and selected the layout scheme with the highest comprehensive correlation as the optimal planning. At the same time, three important model parameters were determined: prediction of cargo throughput, size of functional areas in the park, and comprehensive correlation values between functional areas. Subsequently, in response to the optimization problem of functional area layout in aviation logistics parks, a cosine adaptive genetic algorithm based on adaptive reversal operation was introduced to solve the model. According to the findings, the research mention algorithm has an average utilization rate of up to 69.64% in the international freight zone, which is a 12.38% improvement over the conventional genetic algorithm. Additionally, it has an average domestic cargo area utilization rate of 67.93%, 11.24% greater than the genetic algorithm. This demonstrated that the functional area layout scheme of the aviation logistics park produced by examining the suggested algorithm is extremely viable and offers new ideas and techniques for the planning and designing of aviation logistics parks.

A study on the evaluation of competitiveness in the aviation logistics industry cluster in Zhengzhou

As the global economy continues to evolve, air transportation is increasingly seen as a crucial factor in enhancing regional competitiveness. In particular, aviation logistics industry clusters have emerged as a new driving force for regional economic development. In this context, the current study aims to evaluate the competitiveness of the aviation logistics industry cluster in Zhengzhou, China. To achieve this goal, the study employs the “GEM model” and constructs a GKA evaluation model using evaluation index data from 21 logistics node cities across China in 2021. The entropy-weighted TOPSIS method is used for empirical analysis of the data. The results of the study reveal that the competitiveness of Zhengzhou’s aviation logistics industry cluster is moderately low. This is primarily due to the weak competitiveness of its foundational and regulatory subsystems. Specifically, the study finds that Zhengzhou’s resources, facilities, markets, government, and industry aspects are all less competitive when compared to other cities in China. In order to enhance the competitiveness of Zhengzhou’s aviation logistics industry cluster, the study recommends that efforts be made to improve the competitiveness of key elements such as resources, facilities, markets, and government. In particular, the focus should be on elevating industry competitiveness, followed by the development of appropriate regulatory strategies. By doing so, the aviation logistics industry cluster in Zhengzhou would be better positioned to compete with other clusters within China and globally.

Research on the Training of Aviation Logistics Talents in Civil Aviation Colleges and Universities Based on Analytic Hierarchy Process

Research on the Training of Aviation Logistics Talents in Civil Aviation Colleges and Universities Based on Analytic Hierarchy Process

Research on the Aided Design System of Linear Conveyor Equipment based on Haochen CAD

In the design process of linear conveyors, in order to ensure the accuracy of the specifications and dimensions of each product, a large amount of drawing design work is required. In order to improve drawing efficiency and reduce human errors, this paper designs a parametric auxiliary design system for linear conveyors. By organizing and analyzing the non-standard size change rules of aviation logistics transportation equipment, and based on the .net4.8 framework, using C# language for secondary development of CAD software, in response to the call for national industrial software localization, this study selected the domestic CAD software Haochen CAD as the platform. Through system testing, this system can quickly generate non-standard part drawings through parameter input, improving drawing efficiency while reducing drawing error rates.

Minimax routing problem with a system of priority tasks

For a minimax routing problem with precedence conditions and cost functions that allow dependence on the list of tasks, we study the statement for which some of the tasks are allocated as first-priority ones. Other tasks can be started only after the fulfillment of priority tasks. The tasks themselves are connected with visiting megacities and, in particular, individual cities (terms corresponding to works in the field of solving the traveling salesman problem). One needs to find the extremum of arising two-stage problem with a minimax criterion, as well as the optimal compositional solution. In the paper, the optimal algorithm implemented on a PC is substantiated and built; a computational experiment is carried out. Possible applications may be related to some problems of aviation logistics in which it is required to ensure the visit of one vehicle (airplane or helicopter) to a system of aerodromes under a limited fuel reserve at each stage of the flight task; refueling is expected at points of visit (it is also assumed that a set of priority tasks is allocated).

Comparative analysis of the legislation of Ukraine and international norms that regulate the implementation and formation of aviation logistics system

Intermodal transportation plays an important role in the global economy. In light of the above, it is necessary to analyze the experience of aviation regulation in developed European countries. Aviation legislation in Ukraine is currently at the stage of development. It is important to analyze the experience of the development of aviation legislation and the regulation of personnel training in the aviation industry in European countries. It is important to study the organization of personnel training in the aviation industry. The issue of public administration has not been sufficiently analyzed in Ukrainian legislation. Active work on the realization of a joint aviation space is ongoing. Therefore, the creation of a common aviation space gives provision of mutual free access to the air transportation market. Mutual free access to the air transport market is based on equal conditions of competition and common rules, especially in the field of safety. In particular, common rules apply in the fields of aviation safety & security as well as air traffic management of Ukraine and the EU. It gives possibilities of further development of cooperation between the EU and the Ukrainian in sphere of aviation logistics.

A bottleneck routing problem with a system of priority tasks

We consider a minimax routing problem related to visiting megacities under precedence conditions and cost functions with task list dependence. It is supposed that some megacity system requiring visiting above all is selected. For solving, an approach with decomposition into a set of two minimax routing problems is proposed. A two-step widely understood dynamic programming procedure realizing an optimal composition solution is constructed. The above-mentioned optimality is established by theoretical methods. Application of the results obtained is possible under investigation of multi-stage processes connected with regular allocation of resources. Another variant of application concerns the particular case of one-element megacities (i.e., cities) and may be related to the issues of aviation logistics under organization of flights using one tool (airplane or helicopter) under system of tasks on the realization of passing cargo transportation with prioritization of visits realized above all.

International Gateway Hub Construction and Air Logistics Industry Development Based on Multivariate Strategy Improvement Grey Wolf Algorithm

INTRODUCTION: The global economic development pattern is changing, international economic and trade rules are being questioned, the global economy is not optimistic in the post-epidemic era, and it is more difficult to find growth points. OBJECTIVES: How to achieve economic growth has become a more complex global issue. China, as the world's second largest economy and the world's second largest consumer market, is also a key issue to be addressed: how to promote a strong economic recovery and maintain a high level of public confidence in the state of our economy. The aviation industry chain plays a relatively good role in achieving supply stability as well as industry chain stability, and has a strong positive effect on the domestic and foreign double-cycle strategy. Shenzhen, as a window of China's opening up, has policies, resources and places to promote the development of aviation logistics industry. METHODS: Information is obtained through literature review and fieldwork. Through the history of the development of aviation industry, the history of aviation logistics development and the current situation of the construction of China's aviation logistics are deeply reviewed and sorted out. RESULTS: The specific path to be taken for the development of aviation industry, aviation logistics development and air express and related industries is explained. It also makes a long-term plan for the subsequent development of aviation industry, aviation logistics and air express development of Shenzhen airport, and analyzes the related objectives, and finally uses the relevant theoretical knowledge to make a relevant outlook on aviation industry, aviation logistics and aviation industry development, and summarizes the experience of aviation logistics company development. Combined with the construction of Shenzhen domestic airport, the relevant design concept is proposed. CONCLUSION: Through the analysis of different routes, we finally found that the air logistics business of Shenzhen airport should take the road of synergistic development. In this way, the air logistics of Shenzhen airport should be built around five implementation points and six guarantee points in order to achieve a high-quality development in line with the new era.

On the Application of the Minimax Traveling Salesman Problem in Aviation Logistics

On the Application of the Minimax Traveling Salesman Problem in Aviation Logistics

Will Ezhou become an air cargo superhub in China? A comparison to Memphis

Purpose: As China boosts high-end manufacturing and modern services along with industrial relocation to its central and west regions, air cargo hubs become more critical for development in these regions. Meanwhile, aviation logistics has been listed as a new momentum for further economic growth in multiple Chinese cities, among which Ezhou is said to become Asia’s first and the world’s fourth professional cargo airport. This article assesses the possibility for Ezhou to realize this goal, based on a comparison to the US busiest air cargo hub, Memphis.Design/methodology/approach: Factors under comparison include Geographical location, city foundation, weather conditions, traffic connections, and policy support. Also, this article evaluates Ezhou’s privileges against other Chinese cities, taking Zhengzhou as an example.Findings: Ezhou is finally found to be more suited to be a Chinese Memphis.Originality/value: This article is the first to analyze the possible rise of an air cargo hub in China in English literature.

Vision-Guided Object Recognition and 6D Pose Estimation System Based on Deep Neural Network for Unmanned Aerial Vehicles towards Intelligent Logistics

Unmanned aerial vehicle (UAV) express delivery is facing a period of rapid development and continues to promote the aviation logistics industry due to its advantages of elevated delivery efficiency and low labor costs. Automatic detection, localization, and estimation of 6D poses of targets in dynamic environments are key prerequisites for UAV intelligent logistics. In this study, we proposed a novel vision system based on deep neural networks to locate targets and estimate their 6D pose parameters from 2D color images and 3D point clouds captured by an RGB-D sensor mounted on a UAV. The workflow of this system can be summarized as follows: detect the targets and locate them, separate the object region from the background using a segmentation network, and estimate the 6D pose parameters from a regression network. The proposed system provides a solid foundation for various complex operations for UAVs. To better verify the performance of the proposed system, we built a small dataset called SIAT comprising some household staff. Comparative experiments with several state-of-the-art networks on the YCB-Video dataset and SIAT dataset verified the effectiveness, robustness, and superior performance of the proposed method, indicating its promising applications in UAV-based delivery tasks.

Research on Electromechanical Energy Saving Technology in Aviation Logistics from the Perspective of Low Carbon

With the development of social economy, the consumption of natural energy is intensifying day by day, and the continuous increase of carbon emissions has caused global attention to low-carbon economic issues. Under the theory of low-carbon economy, enterprises should acquire more policy resources and market resources by adopting low-carbon development concepts, improve core competitiveness, and promote the sustainable development of enterprises. For logistics companies, adhering to the concept of low-carbon economic development is the best choice in line with the national strategic deployment of energy conservation and emission reduction. In recent years, under the background of extensive development, China's logistics industry has high costs and large carbon emissions. It is necessary to rely on low-carbon economic theory to improve the bad development situation and promote the sustainable development of China's logistics industry.

Prospects for Creating a Regional Budget Airline in the Republic of Crimea

The 2020 crisis caused by the negative impact of the COVID-19 pandemic had a positive influence on the development of regional air travel. Against the background of an overall drop in passenger traffic exceeding 40%, a number of airports in the Southern Federal District have demonstrated positive development dynamics. With the opening of regular flights to cities in the Southern Federal District and the Republic of Crimea, a number of airports in the Central Federal District and the Volga Federal District by the end of 2020 increased passenger traffic due to the development of the domestic route network. The Russian air passenger market demonstrated high growth and development rates during the period of 2009–2019. The underlying factors of growth and development were the implementation of the subsidizing regional air routes program, the development of competition and the increase in the growth rate of production of the regional jet “SSJ-100”. According to the results of activities at the end of 2020, the Russian regional airline (a mono-operator of the “SSJ-100” jet) demonstrated the lowest rate of passenger traffic reduction. The airline also increased its aircraft fleet by 2 units and expanded its regional route network. The Republic of Crimea is a strategically important region of the Russian Federation. Modernization of the regional logistics complex, which includes the development of regular flights to the regions of the Russian Federation, is a priority task of domestic policy. Based on the structural analysis of the air passenger market and the regional logistics system, a model for creating a regional budget airline for the Republic of Crimea is proposed. The result of overcoming the 2008 crisis on the European air passenger market was the strengthening of the role and influence of the budget airlines (increase in market share from 15% to 50% from 2009 to 2019). The low-cost air transportation segment of the Russian market demonstrates high potential for development due to growing demand. The development of regional air transportation is one of the key factors in the development of the national aircraft construction system. The results of the study can be used in developing a strategy for the aviation logistics system of the Republic of Crimea, as well as in developing strategies for the development of regional airports on the island and peninsular territories.

Sustainable development in aviation logistics: Successful drivers and business strategies

AbstractFirms looking to implement sustainable development confront the problem of choosing among myriad options. To help them overcome it, this study develops two‐stage data‐driven analytics aimed at establishing which alternatives for sustainable development are most likely to succeed, based on careful scrutiny of sustainable‐aviation cases. Specifically, it first ascertains the factors that are most critical to aviation logistics in general and then goes on to identify the vital drivers of successful sustainable development in the same field. The analytical results of the proposed models reveal that sustainable initiatives (ecological conservation and environmental R&D), weight, conversion, and fuel efficiency are successful drivers for organizations to achieve environmental sustainability in aviation logistics. Furthermore, natural‐resource‐based view theory is utilized to develop business strategies that involve eco‐friendly initiatives, product stewardship, and clean technologies.

Research on Chengdu air cargo forecast based on improved ARIMA-GARCH

With the transformation of China's economic growth mode and the upgrading of industrial structure, aviation logistics is becoming a strategic industry for China's economic and social development. Accurately predicting the dynamic trend of air cargo volume plays an important role in China's aviation logistics planning and construction, which will promote China's economic and social sustainable development. Due to the long-term trend, seasonal effect and uncertainty characteristics of air cargo volume, a single prediction model can not fit the trend of air cargo volume better, resulting in lower prediction accuracy. In this paper, based on the improved ARIMA-GARCH model, the Chengdu air cargo volume prediction model is established. In which, based on the ARIMA-GARCH model, the default white noise sequence in the GARCH model is replaced by the distribution estimated by the Bootstrap algorithm, thus improving the model's prediction precision.

Demand forecasting methods for spare parts logistics for aviation: a real-world implementation of the Bootstrap method

One of the critical issues that an airline faces in its day-to-day operations is a correct prognosis of the necessary quantity of spare parts that are continuously fed into unexpected maintenance operations. Indeed, there is a critical need for accurate forecasting methods to predict the demand of these spare parts in order to minimize the so-called Aircraft-On-Ground situations. This paper describes the real-world implementation of the Bootstrap method and the assessment of its performance with actual data from aviation logistics. The analysis reveals that the Bootstrap method, while not the most accurate in every case, should be preferred over other popular methods in spare parts forecasting for aviation, because is more agile and can address adequately all categories of demand. A simple decision support system is then presented to assist airline materials managers in using the bootstrap method. The system is expandable and can potentially incorporate other forecasting method as well.

Research on Chengdu air cargo forecast based on improved ARIMA-GARCH

With the transformation of China's economic growth mode and the upgrading of industrial structure, aviation logistics is becoming a strategic industry for China's economic and social development. Accurately predicting the dynamic trend of air cargo volume plays an important role in China's aviation logistics planning and construction, which will promote China's economic and social sustainable development. Due to the long-term trend, seasonal effect and uncertainty characteristics of air cargo volume, a single prediction model can not fit the trend of air cargo volume better, resulting in lower prediction accuracy. In this paper, based on the improved ARIMA-GARCH model, the Chengdu air cargo volume prediction model is established. In which, based on the ARIMA-GARCH model, the default white noise sequence in the GARCH model is replaced by the distribution estimated by the Bootstrap algorithm, thus improving the model's prediction precision.

Inventory control models for spare parts in aviation logistics

Effective inventory management has a direct influence on monetary savings, high customer service level and product quality and thus plays an essential role in a company’s economic and strategic performance. Forecasting and inventory models for aviation logistics are essential in commercial aviation. The objective of this paper is to study the problem of identifying the optimal order quantity of aircraft spare parts and the demand periods using the Order-Up-To (OUT) inventory model in conjunction with the Negative Binomial Distribution (NBD) and the (s, S) inventory model with Revised Power Approximation Method. These models are compared and contrasted via a real-world paradigm. The analysis reveals that the OUT inventory model in conjunction with the Poisson distribution allows ordering the lowest order quantity. However, the (s, S) inventory model with the Revised Power Approximation outperforms it in terms of average total inventory costs.