Internet of Things (IoT) in Pharmaceutical Manufacturing, Warehousing, and Supply Chain Management

Internet of Things (IoT) is a buzzword in the area of information technology. The Internet of Things is an interconnected computer system with unique identifiers (UIDs) that are capable of transmitting information over a network. This review article highlights the potential applications of IoT in pharmaceutical manufacturing, warehousing, and supply chain management to enhance product quality, increase productivity, and reduction in errors during different stages of a pharmaceutical product. During the manufacturing of the pharmaceutical product, IoT may be useful in supervising and optimizing different unit operations for real-time monitoring and control to enhance production efficiency. In warehousing and supply chain management of pharmaceutical products, IoT is applicable in monitoring the real-time storage conditions of the drug product and improving visibility to enhance operational effectiveness.

[1]  Jacques Bughin,et al.  The internet of things: mapping the value beyond the hype , 2015 .

[2]  Sami Kara,et al.  Methodology for Monitoring Manufacturing Environment by Using Wireless Sensor Networks (WSN) and the Internet of Things (IoT) , 2017 .

[3]  Mumbai,et al.  Internet of Things (IoT): A Literature Review , 2015 .

[4]  Rebecca Angeles,et al.  Rfid Technologies: Supply-Chain Applications and Implementation Issues , 2004, Inf. Syst. Manag..

[5]  Jay Lee,et al.  A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems , 2015 .

[6]  Hongjian Zhang,et al.  Localization of pallets in warehouses using passive RFID system , 2015 .

[7]  Klaus-Dieter Thoben,et al.  "Industrie 4.0" and Smart Manufacturing - A Review of Research Issues and Application Examples , 2017, Int. J. Autom. Technol..

[8]  S. Neeraja,et al.  Warehouse inventory management system using IoT and open source framework , 2018, Alexandria Engineering Journal.

[9]  Sateesh Addepalli,et al.  Fog computing and its role in the internet of things , 2012, MCC '12.

[10]  Damith Chinthana Ranasinghe,et al.  Taxonomy, technology and applications of smart objects , 2011, Inf. Syst. Frontiers.

[11]  In Lee,et al.  The Internet of Things (IoT): Applications, investments, and challenges for enterprises , 2015 .

[12]  Hongpeng Liu,et al.  RFID-Based Intelligent Storage and Retrieval Systems in Automated Warehouse , 2011, J. Softw..

[13]  Lei Ren,et al.  A methodology towards virtualisation-based high performance simulation platform supporting multidisciplinary design of complex products , 2012, Enterp. Inf. Syst..

[14]  Dingzhong Feng,et al.  Intelligent Warehousing Based on the Internet of Things Technology , 2018, ICAAI 2018.

[15]  Prakhar Jain,et al.  Using IoT in Supply Chain Management , 2020 .

[16]  Krishnavir Singh,et al.  Internet of Things in pharma industry: possibilities and challenges , 2020 .

[17]  Lida Xu,et al.  Data Cleaning for RFID and WSN Integration , 2014, IEEE Transactions on Industrial Informatics.

[18]  Fei Tao,et al.  FC-PACO-RM: A Parallel Method for Service Composition Optimal-Selection in Cloud Manufacturing System , 2013, IEEE Transactions on Industrial Informatics.

[19]  Mesud Hadzialic,et al.  Internet of Things (IoT): A review of enabling technologies, challenges, and open research issues , 2018, Comput. Networks.

[20]  Lida Xu,et al.  Integration of hybrid wireless networks in cloud services oriented enterprise information systems , 2012, Enterp. Inf. Syst..

[21]  Kavita Khanna,et al.  Internet of Things: Vision, Applications and Challenges , 2018 .

[22]  May Tajima.  Strategic value of RFID in supply chain management , 2007 .

[23]  Samer Salam,et al.  Internet of Things From Hype to Reality , 2017 .

[24]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[25]  Mohamed Hamdi,et al.  Context aware middleware for RFID based pharmaceutical supply chain , 2017, 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC).

[26]  Duncan McFarlane,et al.  The Impact of Automatic Identification on Supply Chain Operations , 2003 .