مشخصات مقاله | |
ترجمه عنوان مقاله | اینترنت اشیا (IoT) و تاثیر آن در زنجیره تامین: چارچوبی برای ساخت سیستمهای هوشمند، امن و کارآمد |
عنوان انگلیسی مقاله | Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems |
انتشار | مقاله سال 2018 |
تعداد صفحات مقاله انگلیسی | 15 صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
پایگاه داده | نشریه الزویر |
نوع نگارش مقاله |
مقاله پژوهشی (Research Article) |
مقاله بیس | این مقاله بیس میباشد |
نمایه (index) | Scopus – Master Journal List – JCR |
نوع مقاله | ISI |
فرمت مقاله انگلیسی | |
ایمپکت فاکتور(IF) |
5.341 در سال 2017 |
شاخص H_index | 85 در سال 2019 |
شاخص SJR | 0.844 در سال 2017 |
شناسه ISSN | 0167-739X |
شاخص Quartile (چارک) | Q1 در سال 2017 |
رشته های مرتبط | مهندسی فناوری اطلاعات، مهندسی صنایع |
گرایش های مرتبط | اینترنت و شبکه های گسترده، لجستیک و زنجیره تامین |
نوع ارائه مقاله |
ژورنال |
مجله | نسل آینده سیستم های کامپیوتری – Future Generation Computer Systems |
دانشگاه | Faculty of Computers and Informatics – Department of Operations Research – Zagazig University – Egypt |
کلمات کلیدی | مدیریت زنجیره تامین (SCM)، اینترنت اشیا (IOT)، شناسایی فرکانس رادیویی (RFID)، تصميم گيري چند معياره (MCDM)، تکنیک DEMATEL، روند سلسله مراتب تحلیلی (AHP)، مجموعه Neutrosophic |
کلمات کلیدی انگلیسی | Supply chain management (SCM)، Internet of Things (IOT)، Radio frequency identification (RFID)، Multi-criteria decision making (MCDM)، DEMATEL technique، Analytic hierarchy process (AHP)، Neutrosophic set |
شناسه دیجیتال – doi |
https://doi.org/10.1016/j.future.2018.04.051 |
کد محصول | E10674 |
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
1- Introduction 2- Literature review 3- Internet of things (IOT) and supply chain management 4- The proposed framework of smart supply chain management 5- The integrated model of neutrosophic DEMATEL and AHP techniques for assessing security criteria for SCM system 6- The empirical analysis 7- Conclusions and future directions References |
بخشی از متن مقاله: |
Abstract The traditional supply chains faces several challenges such as uncertainty, cost, complexity and vulnerable problems. To overcome these problems the supply chains must be more smarter. For establishing a large-scale of smart infrastructure to merge data, information, products, physical objects and all processes of supply chain, we applies the internet of things (IOT) in supply chain management (SCM) through building a smart and secure system of SCM. We have prepared a website for suppliers and managers. We tracked the flow of products at each stage in supply chain management through the Radio Frequency Identification (RFID) technology. Each product attached with RFID tag and scanned through RFID reader and ESP8266 at each phase of supply chain management. After scanning the tag we stores tag id in the database. All information about products will be entered by suppliers and then uploaded to managers. In our system the supplier and manager gets perfect information of the entire life cycle of goods, and this will achieve transparency of supply chain management. For assessing security criteria of proposed system of supply chain management, we also proposed a framework which integrates neutrosophic Decision Making Trial and Evaluation Laboratory (N-DEMATEL) technique with analytic hierarchy process (AHP). The neutrosophic Decision Making Trial and Evaluation Laboratory (N-DEMATEL) technique is utilized to infer cause and effect interrelationships among criteria of smart supply chain security requirements. Depending on obtained information from (N-DEMATEL) the neutrosophic AHP is utilized to calculate weight of criteria and sub-criteria. Then the integrated framework will help researchers and practitioners to design secure system of supply chains. We presented DEMATEL and AHP in neutrosophic environment to deal effectively with vague, uncertain and incomplete information. So the proposed system of supply chain management will be able to overcome all challenges of traditional SCM and provide secure environment of SCM processes. Introduction A sharp competition environment was created due to the emergence of global markets. The global and competitive environment droves the flow of business via supply chain (SC) because firms are not individually self-adequate. These chains should coordinate their processes to become more competitive and achieve desired objectives of partners. Supply chain (SC) is a set of processes and entities (suppliers, customers, factories, distributors and retailers) which are interested to fulfill customer order. The plan, source, make, deliver, return and enable are the main processes of SC according to Supply Chain Operations Reference Model (SCOR) [1]. Supply chain management (SCM) means having the correct item in the correct volume at the correct time at the correct place for the correct price in the correct condition to the correct customer [2]. In traditional supply chain management systems there exist several problems such as overstocking, delivery delays and stock out. These problems returns to several factors such as complexity and uncertainty which exist usually in real supply chains. The cheaper, better and faster item is the desirable for SC managers. Also maximizing surplus which is the whole payments from end customers minus all costs which incurred via SC. Traditional supply chains are becoming more costly, complex and vulnerable. To overcome these challenges, the supply chains must be more smarter. We can define smart supply chain as a modern and interconnected system which expands from separated, regional and single firm applications to wide and systematic implementation of supply chains. For effective management of supply chain, the information technology (IT) plays a very important role [3]. The IT has ability to integrate different processes, suppliers and customers internally and externally via enhancing communication, collection and transfer of data and information and then improve supply chain performance. |