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10.1016/j.cie.2021.107429 http://scihub22266oqcxt.onion/10.1016/j.cie.2021.107429 34075271!8159708!34075271     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Comput+Ind+Eng 2021 ; ä (ä): 107429 Nephropedia Template TP {{tp|p=34075271|t=2021. Relief Supply Chain Management Using Internet of Things to Address COVID-19 Outbreak |pdf=|usr=}}{{34075271}} gab.com Text Relief Supply Chain Management Using Internet of Things to Address COVID-19 Outbreak JO: Comput Ind Eng http://www.kidney.de/pget.php?&tw=1&pmid=34075271 #FOAvip Nowadays, due to the COVID-19 outbreak, the most significant factor to be considered all over the world is to manage this pandemic and especially to address positive cases, efficiently and effectively. This can be achieved by simultaneously utilizing the present network with supply chain settings and also the Internet of Things (IoT). This consideration enables the accurate monitoring of suspected cases in real-time to optimize total service time. Hence, this paper firstly designs two sub-models to minimize distance and traffic while minimizing total response time. Our main contribution in this paper is to develop a dynamic scheme using IoT to deal with suspected cases. We also investigate the proposed methodology on a real case problem in Canada. A comprehensive analysis of the proposed methodology behavior has been conducted and the results showed the managerial decision-making process to address COVID-19 patients. The proposed approach establishes efficient strategies to identify suspicious COVID-19 cases and provide them with medical observance in a short time when utilized with IoT. The obtained results of the considered scenarios show 12% up to 15% improvement in the ambulance response time when using IoT. Twit Text FOAVip Relief Supply Chain Management Using Internet of Things to Address COVID-19 Outbreak ????Comput Ind Eng http://www.kidney.de/pget.php?&tw=1&pmid=34075271 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34075271 #FOAvip English Wikipedia <ref>{{Cite pmid|34075271}}</ref> Relief Supply Chain Management Using Internet of Things to Address COVID-19 Outbreak #MMPMID34075271 Salehi-Amiri A; Jabbarzadeh A; Zahedi A; Akbarpour N; Hajiaghaei-Keshteli M Comput Ind Eng 2021[May]; ä (ä): 107429 PMID34075271show ga Nowadays, due to the COVID-19 outbreak, the most significant factor to be considered all over the world is to manage this pandemic and especially to address positive cases, efficiently and effectively. This can be achieved by simultaneously utilizing the present network with supply chain settings and also the Internet of Things (IoT). This consideration enables the accurate monitoring of suspected cases in real-time to optimize total service time. Hence, this paper firstly designs two sub-models to minimize distance and traffic while minimizing total response time. Our main contribution in this paper is to develop a dynamic scheme using IoT to deal with suspected cases. We also investigate the proposed methodology on a real case problem in Canada. A comprehensive analysis of the proposed methodology behavior has been conducted and the results showed the managerial decision-making process to address COVID-19 patients. The proposed approach establishes efficient strategies to identify suspicious COVID-19 cases and provide them with medical observance in a short time when utilized with IoT. The obtained results of the considered scenarios show 12% up to 15% improvement in the ambulance response time when using IoT. äRelief Supply Chain Management Using Internet of Things to Address COV(epmc).pdf DeepDyve Pubget Overpricing