دانلود رایگان مقاله انگلیسی ردیابی مبتنی بر اینترنت اشیا و سیستم عامل ردیابی برای زنجیره تامین غذای بسته بندی شده - امرالد 2017

عنوان فارسی
ردیابی مبتنی بر اینترنت اشیا و سیستم عامل ردیابی برای زنجیره تامین غذای بسته بندی شده
عنوان انگلیسی
IoT-based tracking and tracing platform for prepackaged food supply chain
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
13
سال انتشار
2017
نشریه
امرالد - Emerald
فرمت مقاله انگلیسی
PDF
کد محصول
E7746
رشته های مرتبط با این مقاله
فناوری اطلاعات، مهندسی صنایع
گرایش های مرتبط با این مقاله
اینترنت و شبکه های گسترده، شبکه های کامپیوتری، لجستیک و زنجیره تامین
مجله
مدیریت صنعتی و سیستم های داده - Industrial Management & Data Systems
دانشگاه
Guangdong Provencal Key Lab of Computer Integrated Manufacturing - Guangdong University of Technology - China
کلمات کلیدی
اینترنت اشیا، زنجیره تامین مواد غذایی، مواد غذایی بسته بندی شده، پیگیری و ردیابی
چکیده

Abstract


Purpose – The purpose of this paper is to propose an effective and economical management platform to realize real-time tracking and tracing for prepackaged food supply chain based on Internet of Things (IoT) technologies, and finally ensure a benign and safe food consumption environment. Design/methodology/approach – Following service-oriented architecture, a flexible layered architecture of tracking and tracing platform for prepackaged food is developed. Besides, to reduce the implementation cost while realizing fine-grained tracking and tracing, an integrated solution of using both the QR code and radio-frequency identification (RFID) tag is proposed. Furthermore, Extensible Markup Language (XML) is adopted to facilitate the information sharing among applications and stakeholders. Findings – The validity of the platform has been evaluated through a case study. First, the proposed platform is proved highly effective on realizing prepackaged food tracking and tracing throughout its supply chain, and can benefit all the stakeholders involved. Second, the integration of the QR code and RFID technologies is proved to be economical and could well ensure the real-time data collection. Third, the XMLbased method is efficient to realize information sharing during the whole process. Originality/value – The contributions of this paper lie in three aspects. First, the technical architecture of IoT-based tracking and tracing platform is developed. It could realize fine-grained tracking and tracing and could be flexible to adapt in many other areas. Second, the solution of integrating the QR code and RFID technologies is proposed, which could greatly decrease the cost of adopting the platform. Third, this platform enables the information sharing among all the involved stakeholders, which will further facilitate their cooperation on guaranteeing the quality and safety of prepackaged food.

نتیجه گیری

6. Conclusion


Real-time tracking and tracing are of great importance to ensure the safety and quality of the prepackaged food. Based on IoT technologies, this paper proposed an integrated tracking and tracing platform for the prepackaged food. The contributions of this paper can be summarized as follows. First, the technical architecture of an IoT-based tracking and tracing platform is developed. It could not only realize item-level tracking and tracing for the prepackaged food, but also cover the whole process of its supply chain. Besides, the platform is flexible enough to be extended into many other areas. Second, an economical solution of integrating the QR code and RFID is proposed which could greatly reduce the implementation cost of the platform. The corresponding management service, smart prepackaged food lifecycle management service, is also proposed to support the execution of the integrated solution. Third, through adopting XML, this platform enables the information sharing among all the involved stakeholders, which will further facilitate their cooperation on guaranteeing the quality and safety of the prepackaged food. Finally, the casual factors could be identified in time when safety incidents happen, which facilitates the timely responses to avoid the impact of consumer health. In the future, this work can be extended from the following three aspects. First, the scalability and compatibility of the proposed platform should be further evaluated in more real-life cases. Second, the data analytics tools should be further explored to support the operational optimization during prepackaged food supply chain. And third, an effective warning system should also be developed to prevent the occurrence of food incidents.


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