مقاله انگلیسی رایگان در مورد فناوری IOT و مدیریت زنجیره تامین هوشمند – IEEE 2022
مشخصات مقاله | |
ترجمه عنوان مقاله | مدیریت زنجیره تامین هوشمند لجستیک بر اساس فناوری اینترنت اشیا |
عنوان انگلیسی مقاله | Intelligent Logistics Supply Chain Management Based on Internet of Things Technology |
انتشار | مقاله سال ۲۰۲۲ |
تعداد صفحات مقاله انگلیسی | ۵ صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
پایگاه داده | نشریه IEEE |
نوع نگارش مقاله |
مقاله پژوهشی (Research article) |
مقاله بیس | این مقاله بیس نمیباشد |
نوع مقاله | ISI |
فرمت مقاله انگلیسی | |
فرضیه | ندارد |
مدل مفهومی | ندارد |
پرسشنامه | ندارد |
متغیر | دارد |
رفرنس | دارد |
رشته های مرتبط | مهندسی فناوری اطلاعات – مهندسی صنایع |
گرایش های مرتبط | اینترنت و شبکه های گسترده – لجستیک و زنجیره تامین |
نوع ارائه مقاله |
ژورنال – کنفرانس |
مجله / کنفرانس | ۲۰۲۲ کنفرانس IEEE آسیا و اقیانوسیه در مورد ایپک – ۲۰۲۲ IEEE Asia-Pacific Conference on IPEC |
دانشگاه | Beijing Polytechnic College, Beijing, China |
کلمات کلیدی | فناوری اینترنت اشیا – لجستیک هوشمند – مدیریت زنجیره تامین – برنامه مدیریت |
کلمات کلیدی انگلیسی | internet of things technology – intelligent logistics – supply chain management – management application |
شناسه دیجیتال – doi |
https://doi.org/10.1109/IPEC54454.2022.9777588 |
کد محصول | e16811 |
وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
فهرست مطالب مقاله: |
Abstract I. INTRODUCTION II. RESEARCH ON THE APPLICATION OF INTELLIGENT LOGISTICS SUPPLY CHAIN MANAGEMENT BASED ON INTERNET OF THINGS TECHNOLOGY III. INVESTIGATION AND RESEARCH ON THE APPLICATION OF INTELLIGENT LOGISTICS SUPPLY CHAIN MANAGEMENT BASED ON INTERNET OF THINGS TECHNOLOGY IV. ANALYSIS AND RESEARCH ON THE APPLICATION OF INTELLIGENT LOGISTICS SUPPLY CHAIN MANAGEMENT BASED ON INTERNET OF THINGS TECHNOLOGY V. CONCLUSIONS REFERENCES |
بخشی از متن مقاله: |
Abstract Supply chain management refers to the logistics management between enterprises, which involves coordinating the design and operation of the entire chain, including suppliers, manufacturers, wholesalers and retailers. Implementing the system concept of integrated supply chain management is a research hotspot. The purpose of this paper is to study the application of intelligent supply chain management based on Internet of Things technology. Mainly take the drug supply chain as the research object, and apply the Internet of Things technology to drug transportation. The first is to analyze the traditional supply chain system to determine the supply chain’s demand for IoT technology and wireless technology; the second is to rationally optimize the various processes in the supply chain management system, and make its function realization practical. The experimental results show that compared with the original distribution logistics system, the optimized scheme saves 12.8% of the cost. Finally, the framework and structure of the medical supply chain system based on the Internet of Things technology are established, and the implementation and application are analyzed. Introduction With the continuous development of supply chain management and the complexity of different logistics information, enterprises need logistics information, and the evolution of network technology provides technical support for logistics information [1]. The rapid development of the Internet of Things and computers has brought the whole society into the information age, and the logistics system has developed rapidly [2]. In recent years, many companies have integrated IoT technology into supply chain management platforms and achieved amazing results, making managers aware of the importance of IoT technology and beginning to pay attention to logistics management applications [3]. At present, scholars’ study and research on logistics service supply chain related knowledge is still in the stage of continuous development [4]. Kain R provides an overview of Logistics/Logistics Management in Supply Chain and its current logistics related issues in business and presents a conceptual approach to related issues. The logistics-based methodology is the input and output of the methodology. A literature review is conducted on key external and internal issues of logistics and industrial logistics issues to identify their various dimensions. Based on the insights obtained, a conceptual approach to logistics problems is proposed [5]. AGMabengmensah Y studies the relationship between information technology, supply chain quality integration, green logistics management and organizational performance. The intermediary role of supply chain quality integration and green logistics management is further investigated. It is found that supply chain quality integration and green logistics management play a mediating role between information technology and organizational performance. In addition, the findings suggest that supply chain quality integration plays a mediating role between information technology and organizational performance [6]. To provide customers with comprehensive and flexible services is the central idea of the current and future development trend of the logistics service supply chain. In order to provide high-quality services and make the supply chain operate efficiently, it is essential to conduct research on capacity coordination [7]. Conclusions IoT technology can track and manage all the data in the world. This feature is designed to make IoT shine in logistics management systems. How to introduce IoT technology into supply chain management has become the focus of many scholars. This paper introduces the logistics of the Internet-based pharmaceutical supply chain, mainly from supply logistics, manufacturing logistics, sales logistics and marketing logistics, and compares the original logistics methods and trade logistics methods. From the basic knowledge, system architecture, system implementation and main functions of the logistics integration platform, the Internet-based IoT automotive supply chain logistics integration platform is analyzed. |