Siegfried Transportation Management Land & Sea, Aviation and Infrastructure Concepts

Analyzing the influence of Covid on company processes
1. Auflage 2022
ISBN: 978-3-7562-9799-3
Verlag: BoD - Books on Demand
Format: EPUB
Kopierschutz: 6 - ePub Watermark

E-Book, Englisch, 132 Seiten

Transportation Management Concepts especially under the COVID circumstances.

Autoren/Hrsg.

Siegfried, Patrick

Leseproben

Transportation Management IoT and AI Concepts at UPS - Analyzing the Land & Sea and Aviation Structure
Julien GEMAYEL
A Land & Sea Transport, Aviation Transport Abstract: Purpose: Forecasting traffic in the logistics industry has always been a difficult task because of the enormous number of factors that affect it and the inherent unpredictability that comes with each of these variables. Methodology: The interviews will be conducted with supply chain managers and logistics and transportation managers in UPS to collect data. Furthermore, for the Aviation and Internet of things, data was gathered from 200 employees working in Lufthansa who answered a survey consisting of 10 questions. Results: With hundreds of thousands of maritime, and road assets transportation has significant potential for IoT networks and UPS should focus on adopting them. Lufthansa tends to use Internet of Things in its aviation operations to monitor weather, schedule and simulate flights. Limitations: There are a few IoT devices that may see a rise in value if they were placed in the foot. This research paper addressed only the land and sea operations for UPS and the aviation operations of Lufthansa using the Internet of things, the paper could have been expanded by providing a comparative study between these two companies. Contributions: Fuel price volatility and rising transportation demand should be taken into account in future studies. Cloud computing has proven to be a vital part of massive data processing and scalability for the Internet of Things (IoT). Introduction Using information and communication technologies (ICTs) to search, gather, analyze, and disseminate data through worldwide telecommunication networks, the digitalization effort is a massive undertaking. The so-called "Fourth Industrial Revolution" is now underway (Industry 4.0) (Nambajemariya & Wang, 2021). The introduction of new materials, the transfer to new technologies for manufacturing products, automation of production processes, and the use of innovations in logistics are the primary development themes in the digital economy when seen through the lens of production (Aslam et al., 2020). However, the main problem that is facing UPS is that there are many logistical problems which is resulting in lowering the delivery and by that affecting the operation and the financial performance of UPS, thus we need to study the effect of Internet of Things on the land and sea transportation of UPS. However, Lufthansa is facing a problem in its aviation transportations and by that this paper will propose the Internet of things for the aviation transportations and its impact on the financial performance and operations as whole. Forecasting air passenger traffic in the aviation industry has always been a difficult task because of the enormous number of factors that affect it and the inherent unpredictability that comes with each of these variables (Siegfried, 2014a). Based on an intelligent wireless network communication method, this research is focusing on an air transportation management prediction model. Land & Sea Transport Literature Review Internet of Ships: A Survey on Architectures, Emerging Applications, and Challenges IoT technologies have recently emerged in marine applications, resulting in the establishment of the Internet of Ships (IoS) paradigm. Maritime IoS refers to a network of smart networked items, such as ships, ports, and transportation infrastructure, with the purpose of dramatically enhancing the shipping industry's safety, efficiency, and environmental sustainability via an IoT-based network (Hiekata et al., 2021). Throughout this publication, we give an in-depth analysis of the IoS paradigm, its design, important components, and most salient features. Aside from that, we look at how far the technology has progressed in terms of new applications such as cargo tracking and tracking and berthing, energy-efficient operations and autonomous berthing as well as route planning and optimization according to Psarros (2018). Satellite communications, security, privacy, marine data collection, data management, and analytics offer a road-map for future study in the fields of maritime data collection, data management, and analytics. Flexible Data Integrity Checking With Original Data Recovery in IoT-Enabled Maritime Transportation Systems Technology known as the Internet of Things (IoT) has emerged as a potential tool for improving production efficiency and reducing operating costs in a broad range of businesses. Maritime transportation systems (MTS) may be made safer, more efficient, and less costly for ports and shipbuilders by using Internet of Things (IoT) technologies (Siegfried, 2014b). When paired with past data, the massive amounts of real-time data provided by IoT-enabled MTS may be effectively used to anticipate future vessel trajectories and hotspots according to Baalisampang (2018). The integrity of the marine traffic data in MTS must be validated before it can be utilized to anticipate vessel trajectories and high-density zones in standard big data research approaches (Aslam et al., 2020). A configurable data integrity testing approach for IoT-enabled MTS with original data recovery is presented in this work. The data blocks of vessels are encoded using erasure coding in the proposed system. It is possible to verify the presence and integrity of data components saved in the cloud in order to assure the availability of historical data. Furthermore, if the encoded data pieces are damaged or lost, the original data blocks may be restored quickly. The suggested technique may be shown to be proper and safe against malicious assaults, according to security analysis (Siegfried, 2014c). Our plan outperforms the competition, according to the results of our performance study. Integrity checking and data recovery are key terms in the Internet of Things (IoT) and marine transportation systems index according to Mohaimenuzzaman (2016). Systems analysis for deployment of internet of things (IoT) in the maritime industry In recent years, the availability of ubiquitous sensors, low-cost digital connectivity, and distributed control technology has led to a revolution in several sectors. A primary goal of this article is to facilitate the deployment of Internet of Things (IoT) technology in the marine sector. For the purpose of developing performance metrics and functions that can be represented and studied via simulation, the marine industry is examined as a system of systems. In this scenario, a ship's operation, cargo loading, fuel loading, and docking for maintenance are all included in the simulation (Hiekata et al., 2021). There are a number of input parameters that may be used to define different IoT technologies in the simulation. The simulator is able to quantify the effect of these technologies by adjusting the settings. Eleven Internet of Things (IoT) technologies are examined and contrasted as a case study. The results show that the ship's weight has the greatest influence on profit, that the most essential aspect of safety is preventing hull damage during operation, and that port efficiency may be improved to cut down on operational delays. The sensitivity analysis in this research reveals that modifying the input parameters may aid in the decision-making process of how much investment will be effective when considering the levels of technology according to Zhang (2019). The Usage of Internet of Things in Transportation and Logistic Industry There has been a rapid rise in Internet of Things technologies. The Internet of Things (IoT) is a collection of interconnected electrical, software, sensor, and network-connected items. To design a system that would monitor transportation and logistics applications and issue warnings, or take relevant intelligent actions, utilizing the IoT and AI concepts. The Internet of Things offers a wide range of applications in the transportation and logistics industries, such as the ability to track and monitor IoT vehicles in terms of their movement, position, whether they are running or stopped, or whether they are at danger (Lu et al., 2021). The Internet of Things (IoT) can keep track of all of this and more (Karakus et al., 2019). Vehicles are used in the logistics industry to transport large, densely packed cargo. Using sensors, the truck's interior parameters, such as temperature, humidity, and light, may be kept under tight control under these situations. The Internet of Things (IoT) might be used to monitor traffic and provide recommendations for alternative routes. Internet of Things (IoT) is a promising method for building powerful systems and applications utilizing wireless devices such as Android sensors and smartphones. It is possible to use IOT in a variety of ways for the transportation and logistics business by combining other technologies like big data analytics and artificial intelligence according to Nambajemariya (2021). The Internet of Things is made up of physical devices, sensors, and microprocessors. Case Study Methodology Development Research philosophy is a set of principles for gathering, analyzing, and applying evidence regarding a certain topic. It's important to distinguish...