Design considerations of RFID based baggage handling system, a literature review

, Harjanto Prabowo, Agung Trisetyarso, Meyliana, Achmad Nizar Hidayanto 2nd International Conference on Information Management and Technology, ICIMTech 2017 Yogyakarta; Indonesia 15 - 17 November 2017 978-153862930-

Modernizing the Supply Chain of Airbus by Integrating RFID and Blockchain Processes

Radio Frequency Identification, or RFID, has been gaining momentum within the aviation industry for improving efficiencies in the supply chain. RFID technology is not new, with many manufacturers outside of aviation being more responsive as early adopters to the technology. Currently, many of the full-scale implementation organizations from late adopters, have strategically integrated RFID technology into the manufacturing supply chain to tag parts and for airports/airlines to track baggage and passengers throughout their airport journey. Literature remains rather sparse in the implementation and success factors within the aviation supply chain as a number of businesses have kept much of the details discreet to differentiate themselves from the competitors. In this case study, we have examined the state of the early adopters in aviation to implement RFID technology into their supply chain for tracking parts, identifying information, logistics media, and other process improvements in component maintenance management. Airbus, who was the first in the aviation industry to adopt RFID will be examined. The paper examines the increasing numbers of airports/airlines use of RFID to track baggage and passengers with technology. Using information from published secondary data, we review the early adopters of RFID in aircraft manufacturing who are employing RFID to the improve supply chain and how airports/airlines usage of RFID has transcend to passenger tracking to improve airport operational efficiency and to increase passenger satisfaction. By identifying key trends in the aviation supply chain and the value-added in manufacturing and passenger experiences, this paper presents areas in need of further empirical research in order to understand the key success factors with RFID implementation in aviation

Serverless protocols for inventory and tracking with a UAV

It is widely acknowledged that the proliferation of Unmanned Aerial Vehicles (UAVs) may lead to serious concerns regarding avionics safety, particularly when end-users are not adhering to air safety regulations. There are, however, domains in which UAVs may help to increase the safety of airplanes and the management of flights and airport resources that often require substantial human resources. For instance, Paris Charles de Gaulle airport (CDG) has more than 7,000 staff and supports 30,000 direct jobs for more than 60 million passengers per year (as of 2016). Indeed, these new systems can be used beneficially for several purposes, even in sensitive areas like airports. Among the considered applications are those that suggest using UAVs to enhance safety of on-ground airplanes; for instance, by collecting (once the aircraft has landed) data recorded by different systems during the flight (like the sensors of the Aircraft Data Networks - ADN) or by examining the state of airplane structure. In this paper, our proposal is to use UAVs, under the control of the airport authorities, to inventory and track various tagged assets, such as luggage, supplies required for the flights, and maintenance tools. The aim of our proposal is to make airport management systems more efficient for operations requiring inventory and tracking, along with increasing safety (sensitive assets such as refueling tanks, or sensitive pieces of luggage can be tracked), thus raising financial profit.Comment: 11 pages, Conference, The 36th IEEE/AIAA Digital Avionics Systems Conference (DASC'17

Data storage on radio frequency identification tags in construction industry

Tez (Yüksek Lisans) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2010Thesis (M.Sc.) -- İstanbul Technical University, Institute of Science and Technology, 2010Radyo Frekanslı Tanımlama (RFID) teknolojisi nesnelerin radyo dalgaları yoluyla otomatik olarak tanımlanmasını sağlayan ve aynı zamanda nesneler üzerinde bilgi saklanmasına olanak veren bir teknolojidir. RFID teknolojisinin inşaat sektöründeki uygulamaları incelendiğinde, verilerin RFID etiketleri üzerinde mi yoksa bir ağ üzerinde mi saklanacağı konusu üzerinde görüş ayrılıkları olduğu tespit edilmiştir. Özellikle inşaat sektörü gibi değişken ve kontrolsüz koşullar altında çalışılan bir sektörde, her zaman bir ağ bağlantısının kurulabilmesi mümkün olmayabilmektedir. Bunun yanı sıra bazı tür bilgilerin merkezi bir veritabanında saklanması veriye ulaşım ve hafıza kısıtları açısından daha uygun olmaktadır. Ancak yapılan incelemelerde, farklı uygulamalarda ne tür bir yaklaşım izlenmesi gerektiğinin çok net olmadığı belirlenmiştir.Bu çalışmanın amacı inşaat sektöründe RFID etiketleri üzerinde lokal olarak bilgi saklanmasının hangi koşullar altında daha uygun olduğunun belirlenmesidir. Bu amaç doğrultusunda mevcut uygulamalarda hangi koşullarda etiketler üzerinde ne tür bilgilerin saklandığı belirlenmiştir. İnşaat Sektörü’ndeki RFID uygulamalarına ek olarak RFID teknolojisinin yoğun olarak kullanıldığı beş büyük sektörden yüzün üzerinde uygulama incelenmiştir. Uygulamalar sırasında farklı tür veri saklama yaklaşımı gerektiren koşullar saptanarak, RFID etiketleri üzerinde saklanan bilgi türleri belirlenmiştir. Sonuçlar İnşaat Sektörü’nün koşul ve beklentileri doğrultusunda özel olarak geliştirilmiş, yüksek bellek kapasiteli RFID etiketleri ve/veya veri depolama ortamlarına ihtiyaç duyulduğunu göstermektedir.Radio Frequency Identification (RFID) technology automatically identifies tags that are attached to objects through the use of radio waves and enables local storage of objectrelated data on objects. When RFID applications within the construction industry are examined, an ongoing debate is observed as to whether the necessary data should be stored on RFID tags or on a network. Especially in uncontrolled and dynamic environments as in construction industry, network accessibility might not be always provided throughout the lifecycle of an object. On the other hand, storing certain types of data on a central database can be more suitable in terms of data acquisition and memory constraints. However, investigation of the current research showed that it is still not clear which type of data storage approach needs to be followed in different applications.The main goal of this thesis is to determine under which conditions storing data on the tag is more appropriate for the construction industry. In accordance with this purpose,the types of data that are being stored under different conditions are determined. More than one hundred RFID technology applications were investigated within the construction industry as well as in other five major RFID adopter industries. Factors and conditions that affect the type of data storage concept and the data types stored within these RFID applications are determined. The results show that there is a need for tags/storage mediums that are specially designed for construction industry with large memories.Yüksek LisansM.Sc

Machine learning and mixed reality for smart aviation: applications and challenges

The aviation industry is a dynamic and ever-evolving sector. As technology advances and becomes more sophisticated, the aviation industry must keep up with the changing trends. While some airlines have made investments in machine learning and mixed reality technologies, the vast majority of regional airlines continue to rely on inefficient strategies and lack digital applications. This paper investigates the state-of-the-art applications that integrate machine learning and mixed reality into the aviation industry. Smart aerospace engineering design, manufacturing, testing, and services are being explored to increase operator productivity. Autonomous systems, self-service systems, and data visualization systems are being researched to enhance passenger experience. This paper investigate safety, environmental, technological, cost, security, capacity, and regulatory challenges of smart aviation, as well as potential solutions to ensure future quality, reliability, and efficiency

Applications of Mixed Reality for Smart Aviation Industry: Opportunities and Challenges

Nowadays, mixed reality has improved operational efficiency and enhanced passenger experience in the aviation industry. Integrated with advanced machine learning and artificial intelligence techniques, mixed reality can easily deal with tons of aviation data to support decision-making processes in this industry. The chapter presents the state-of-the-art applications of mixed reality in smart aviation industry. Opportunities and challenges of integrating mixed reality with advanced machine learning and artificial intelligence techniques into the aviation industry are introduced. This chapter focuses on how the integrated mixed reality can improve the quality and reliability of maintenance, operation, piloting, training, and product design in smart aerospace engineering. It also describes autonomous, self-service, and data visualization systems in smart airports to enhance passenger experience. Finally, this chapter discusses airline’s digital-based responses to the COVID-19 crisis

Measuring RFId Benefits in Supply Chains

RFId systems hold great potentials in enhancing supply chain performances. Some of the major retailers in the World (Wall Mart, Metro Group, Tesco) made sounding campaigns promoting the benefits they were able to attain. Despite the growing number of researches concerning RFId benefits, a study investigating their measurement in the supply chain context is still lacking. This paper proposes to associate qualitative RFId benefits identified in literature with corresponding measures by designing three tools: (1) an RFId oriented Performance Measurement System for the identification of all RFId related supply chain performance indicators on the base of the SCOR Model. (2) A benefits-processes-measures matrix linking the benefits identified in literature with SCOR model process to identify supply chain measures impacted by the RFId system implementation. (3) A reference framework summarizing benefits measures