Modeling and simulation of an IoT enabled cold Chain Logistics management system

06.03.2018 tarihli ve 30352 sayılı Resmi Gazetede yayımlanan “Yükseköğretim Kanunu İle Bazı Kanun Ve Kanun Hükmünde Kararnamelerde Değişiklik Yapılması Hakkında Kanun” ile 18.06.2018 tarihli “Lisansüstü Tezlerin Elektronik Ortamda Toplanması, Düzenlenmesi ve Erişime Açılmasına İlişkin Yönerge” gereğince tam metin erişime açılmıştır.Dünya ekonomisinin etkileyici bir şekilde büyümesi, soğuk zincirde izlenmesi ve yönetilmesi gereken özellikle sıcaklık duyarlı ürünler için belirsizlik durumları karşısında etkin, esnek ve duyarlı olabilmek amacıyla lojistik hizmetleri talep eden tedarik zincirinde artış sağlamıştır. Bunun gerçekleştirilebilmesi için Lojistik şirketerinin uygun bilişim teknolojileri ile desteklenmesi gerekmektedir. İnternet kullanımı ile müşteri ve lojistik sağlayıcı arasında etkili bir bilgi akışı ortamı sağlanmaktadır; ancak lojistik hizmetindeki bilgi ve ürün akışı arasındaki mevcut açıklık, sıcaklık duyarlı nesneler hakkında gerçek zamanlı bilginin elde edilmesinde karar vericiler için lojistik yönetimini daha zor duruma getiren bir problem oluşturmaktadır. Nesnelerin İnterneti alanındaki gelişmeler soğuk zincir sanayilerinde izleme, yönetme ve gerçek zamanlı görünürlük sağlama ve uygun zeka seviyesi ile bilgi paylaşımı alanında potensiyel çözümler sunmaktadır. Bu çalışmada soğuk zincirin gerçek zamanlı ortam sıcaklığını izleme, yönetme ve soğuk zincir içerisindeki sıcaklık duyarlı ürünlerin raf ömrünün tahmin edilmesi aracılığıyla tüm karar vericilerin karar desteklerini geliştirmeye yardımcı olan IoT erişimli soğuk zincir lojistiği gösterilemektedir. Çalışma içerisinde, gerçek zamanlı ortam verileri IEEE 802.15.4 kablosuz algılayıcı ağ yapısı kullanılarak elde edilmiş ve toplanan veriler bir ağ geçidi aracılığıyla sunucuya, ürünlerin raf ömürlerinin geliştirilen karar destek sistemi yardıyla tahmin edilebilmesini sağlamak üzere, gönderilmiştir. Ayrıca, soğuk zincir içerisindeki bozulabilir ürünlerin tespiti için Radyo Frekanslı Tanıma (Radio Frequency Identification-RFID) kullanılmıştır. Çalışma içerisinde kullanılan tüm cihazlar ve protokoller olay-güdümlü Riverbed Modeler yazılımıyla modellenerek benzetimleri yapılmıştır.The Dramatic growth of world economy results growth in the supply chain which demands logistics service to be agile, flexible and responsive in the face of uncertainty, especially for temperature sensitive products that need to be monitored and managed in the cold chain. To achieve this, Logistics companies must be supported by appropriate information technologies. Internet provides an effective means of driving information between customer and logistics provider, however, existing gap between products flow and information flow in logistic service has created a problem in getting real-time information about temperature sensitive items which make logistics management more challenging for decision makers. The growth of internet of things (IoT) gives a potential solution for monitoring, managing, and achieving real-time visibility and sharing information with the appropriate level of intelligence in cold chain industries. This paper demonstrates IoT enabled cold chain logistics that helps to enhance the decision support of all actors through managing, monitoring the real-time ambient temperature of the cold chain and predicting the shelf-life of temperature sensitive products inside the cold chain. In the study, real-time data of ambient parameters are gathered using IEEE 802.15.4 based wireless sensor networks and sent to the remote server through a gateway so that the shelf life of the products can be predicted by the decision support system developed. Radio Frequency Identification (RFID) is also used for identification of perishable goods inside the cold chain. All the devices and protocols employed in the study are modeled and simulated using event-driven Riverbed Modeler software

An Approach to Near Field Data Selection in Radio Frequency Identification

Personal identification is needed in many civil activities, and the common identification cards, such as a driver\u27s license, have become the standard document de facto. Radio frequency identification has complicated this matter. Unlike their printed predecessors, contemporary RFID cards lack a practical way for users to control access to their individual fields of data. This leaves them more available to unauthorized parties, and more prone to abuse. Here, then was undertaken a means to test a novel RFID card technology that allows overlays to be used for reliable, reversible data access settings. Similar to other proposed switching mechanisms, it offers advantages that may greatly improve outcomes. RFID use is increasing in identity documents such as drivers\u27 licenses and passports, and with it concern over the theft of personal information, which can enable unauthorized tracking or fraud. Effort put into designing a strong foundation technology now may allow for widespread development on them later

Feasibility analysis of using microcircuit technology in logistics applications/radio frequency (MITLA/RF) to support equipment maintenance management

This thesis presents the background, criteria, and baseline recommendations for a Microcircuit Technology in Logistics Application/Radio Frequency (MITLA/RF) proposal to support developing maintenance management doctrine. Its main thrust is a preliminary feasibility analysis of MITLA/RF to identify key issues with regard to maintenance operations within emerging Operational Maneuver From The Sea (OMFTS) concepts. This thesis surveys current requirements, information systems initiatives, test/evaluation results, implementation issues, and technology tradeoffs. It offers alternatives to reliance on manual record keeping and frameworks for enhancing horizontal/ vertical information flows, explores several near real-time interactive decision making tools, and suggests doctrinal improvements through a fusion of procedural and high-tech approaches. This study is an outline for melding policy change with the state-of-the-art technology required to successfully support emerging Combat Service Support (CSS) operations.http://archive.org/details/feasibilitynalys1094539655Major, United States Marine CorpsCaptain, United States Marine Corps.Approved for public release; distribution is unlimited

Discontentment and knowledge spillovers in an emerging high-tech industry: a study of the emergence of the RFID industry

This thesis is an inductive study of how entrepreneurs and their collaborators use or encourage knowledge spillovers to fuel technological innovations during the emergence of a knowledge intensive industry. Drawing on theories of the entrepreneurial process, innovation during industry emergence, and knowledge spillovers, this thesis seeks to explain the process by which entrepreneurs, facing market, organizational and technological uncertainty, use their existing knowledge to procure, share and create new knowledge during the early stages of an emerging industry. The core research question is why, when and how do knowledge spillovers occur in an emerging industry? The thesis is based on an extensive case study of the RFID (Radio Frequency Identification) industry, including both interview data and analysis of patent data. The approach of data collection, analysis and theory development follows the systematic methodology articulated by Glaser and Strauss (1967), Glaser (1992) and Strauss and Corbin (1998) for developing a grounded theory. The qualitative research involved 57 in-depth interviews (45 interviewees) from around the world with the inventors and entrepreneurs who have shaped the emerging RFID industry. The thesis makes a number of important contributions to existing literature. First, it provides a comprehensive description of the emergence of the RFID industry in the United States and Europe with a focus on patent activity surrounding specific innovations and the nature of information flows between firms in the value chain. Second, core findings are that the discovery, evaluation and exploitation of opportunities by individuals in the RFID industry were the result of knowledge spillovers that resulted from extensive social interactions; that knowledge spillovers can be instigated by entrepreneurs or their collaborators by molding or recognizing discontentment in potential knowledge workers, a process which is described as "discontentment provocation"; and that a core generative process to the emergence of a new industry is knowledge spillover. Contrary to existing literature, patents played a relatively insignificant role in knowledge spillovers relative to social interaction in the emerging RFID industry. Furthermore, knowledge spillovers were not geographically bound and localized within spatial proximity to the knowledge source. Third, the analysis of the empirical data identifies the dimensions "discontentment", "human agency" and "social interaction" as underpinning the process that fostered the generation and propagation of knowledge during the emergence of this industry. The discontentment dimension, originating from negative forces, acts as a catalyst to trigger the process of human agency, the decision to pass on information and knowledge to another party. Human agency then leads seamlessly into social interaction, resulting in the acquisition, interpretation and/or sharing of information and knowledge. Discontented individuals were the knowledge conduits who diffused information and knowledge to entrepreneurs and their collaborators through social interaction. Fourth, this thesis also advances the theory of knowledge spillovers in an emerging knowledge intensive industry by expanding upon the "Entrepreneurial Motivational Model" proposed by Shane et al. (2003). It introduces the triggering events that motivate an individual to seek change prior to the discovery of an opportunity and the social exchanges which take place during different steps of the entrepreneurial process. Overall, this study has important implications for those studying the entrepreneurial process, the emergence of new industries, and knowledge spillovers

Collective Communications and Computation Mechanisms on the RF Channel for Organic Printed Smart Labels and Resource-limited IoT Nodes

Radio Frequency IDentification (RFID) and Wireless Sensor Networks (WSN) are seen as enabler technologies for realizing the Internet of Things (IoT). Organic and printed Electronics (OE) has the potential to provide low cost and all-printable smart RFID labels in high volumes. With regard to WSN, power harvesting techniques and resource-efficient communications are promising key technologies to create sustainable and for the environment friendly sensing devices. However, the implementation of OE smart labels is only allowing printable devices of ultra-low hardware complexity, that cannot employ standard RFID communications. And, the deployment of current WSN technology is far away from offering battery-free and low-cost sensing technology. To this end, the steady growth of IoT is increasing the demand for more network capacity and computational power. With respect to wireless communications research, the state-of-the-art employs superimposed radio transmission in form of physical layer network coding and computation over the MAC to increase information flow and computational power, but lacks on practicability and robustness so far. With regard to these research challenges we developed in particular two approaches, i.e., code-based Collective Communications for dense sensing environments, and time-based Collective Communications (CC) for resource-limited WSNs. In respect to the code-based CC approach we exploit the principle of superimposed radio transmission to acquire highly scalable and robust communications obtaining with it at the same time as well minimalistic smart RFID labels, that can be manufactured in high volume with present-day OE. The implementation of our code-based CC relies on collaborative and simultaneous transmission of randomly drawn burst sequences encoding the data. Based on the framework of hyper-dimensional computing, statistical laws and the superposition principle of radio waves we obtained the communication of so called ensemble information, meaning the concurrent bulk reading of sensed values, ranges, quality rating, identifiers (IDs), and so on. With 21 transducers on a small-scale reader platform we tested the performance of our approach successfully proving the scalability and reliability. To this end, we implemented our code-based CC mechanism into an all-printable passive RFID label down to the logic gate level, indicating a circuit complexity of about 500 transistors. In respect to time-based CC approach we utilize the superimposed radio transmission to obtain resource-limited WSNs, that can be deployed in wide areas for establishing, e.g., smart environments. In our application scenario for resource-limited WSN, we utilize the superimposed radio transmission to calculate functions of interest, i.e., to accomplish data processing directly on the radio channel. To prove our concept in a case study, we created a WSN with 15 simple nodes measuring the environmental mean temperature. Based on our analysis about the wireless computation error we were able to minimize the stochastic error arbitrarily, and to remove the systematic error completely