Internet of Things applications in the pharmaceutical industry

Sharma, Deepak Kumar; Bhargava, Saakshi; Singhal, Kartik

doi:10.1016/b978-0-12-821326-1.00006-1

Cited by 9 publications

(4 citation statements)

References 2 publications

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“…Popular protocols include Fieldbus, Profibus, ether cat, and ethernet/IP, enabling faster data analysis and real-time decision-making. 45…”

Section: Industrial Communicationmentioning

confidence: 99%

Future of Pharmaceutical Industry: Role of Artificial Intelligence, Automation and Robotics

T.,

B.,

Nunavath

et al. 2024

Journal of Pharmacology and Pharmacotherapeutics

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Background The future of smart factories and pharmaceutical industries has evolved significantly since the 19th century. Computers have been used in the pharmaceutical field since the 1980s with the emergence of artificial intelligence (AI). In addition, automation and robotics are used in the pharmaceutical industry to improve the efficiency of pharmaceutical development and production. Purpose The present review article covers the future roles of AI, automation and robotics in pharmaceutical industries. Methods The current review article employed a comprehensive search strategy across relevant databases, including PubMed, Scopus and Web of Science, utilizing keywords such as AI, Automation, Robotics and Pharmaceutical Industries. The articles considered a focus on recent advancements and emerging trends in the intersection of AI, automation and robotics within pharmaceutical sectors. Results AI, incorporating predictive machine learning and reasoning techniques, aids in the preclinical identification of molecules and forecasting potential lead compounds before conducting clinical trials. automation offers significant benefits in monitoring and predictive maintenance of production lines, power distribution and control machines. Robotic process automation improves efficiency by connecting computer terminals to handle various manufacturing process elements. Conclusion Artificial intelligence, automation and Robotics have sparked innovations in the healthcare business, benefiting the global ecosystem and healthcare delivery. Incorporating these advanced tools in pharmaceutical industries from raw material selection to final product development could improve the quality and safety of the pharmaceutical products and reduce the time and cost.

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“…Popular protocols include Fieldbus, Profibus, ether cat, and ethernet/IP, enabling faster data analysis and real-time decision-making. 45…”

Section: Industrial Communicationmentioning

confidence: 99%

Future of Pharmaceutical Industry: Role of Artificial Intelligence, Automation and Robotics

T.,

B.,

Nunavath

et al. 2024

Journal of Pharmacology and Pharmacotherapeutics

View full text Add to dashboard Cite

show abstract

“…Oracle (2021) describes the Internet of Things as a network of physical objects -"things" that are equipped with sensors, software and other technologies for the purpose of connecting and exchanging data with other devices and systems over the Internet. The Internet of Things refers to working on the Internet for various types of physical devices equipped with transducers, including sensors, detectors, actuators, electronic components, and links to devices and websites, to maintain association and stress-free data exchange in real time (Sharma , Bhargava & Singhal, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Internet of Things and Its Use in Business Entities of the World

Bednarčíková¹,

Zahradník²

2022

EDAMBA 2021 : COVID-19 Recovery: The Need for Speed : Conference Proceedings

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The Internet of Things digitally transforms business entities, bringing them many benefits and the opportunity to become a digital business. The main goal of the scientific article is to theoretically define the digital technology Internet of Things and to map the current state of use of the Internet of Things. Internet of Things is industry 4.0 digital technology, which is a network of interconnected devices over a wireless connection, which are made up of technological and other components used to interconnect elements in an enterprise environment and provide various services. The scientific article focuses on the theoretical definition of the term Internet of Things, its characteristics, ecosystem, technology and Technology Stack Internet of Things. The results of the work and discussion include: mapping the application and use of the Internet of Things in various sectors, then in selected business entities, evaluating the use and defining your own definition of the Internet of Things. The examined business entities include: ABB, Airbus, Amazon, Boeing, ESI, Bosch, Caterpillar, Cisco, Intel, SAP, Siemens, Shell, Tesla.

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“…RFID and Barcode applications include supply chain, inventory management, tracking goods and humans to healthcare [31]. In industries like drug manufacturing, making mistakes is unacceptable as QC can have a direct impact on the health of the consumer [43]. IoT and automatic identification sensors track asset locations and movements, minimizing data errors, increasing timely information, eliminating paperwork, and decreasing inventory-related problems [44].…”

Section: Dynamic Schedulingmentioning

confidence: 99%

Intelligent Sensors for Real-Time Decision-Making

et al. 2021

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The simultaneous integration of information from sensors with business data and how to acquire valuable information can be challenging. This paper proposes the simultaneous integration of information from sensors and business data. The proposal is supported by an industrial implementation, which integrates intelligent sensors and real-time decision-making, using a combination of PLC and PC Platforms in a three-level architecture: cloud-fog-edge. Automatic identification intelligent sensors are used to improve the decision-making of a dynamic scheduling tool. The proposed platform is applied to an industrial use-case in analytical Quality Control (QC) laboratories. The regulatory complexity, the personalized production, and traceability requirements make QC laboratories an interesting use case. We use intelligent sensors for automatic identification to improve the decision-making of a dynamic scheduling tool. Results show how the integration of intelligent sensors can improve the online scheduling of tasks. Estimations from system processing times decreased by over 30%. The proposed solution can be extended to other applications such as predictive maintenance, chemical industry, and other industries where scheduling and rescheduling are critical factors for the production.

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Internet of Things applications in the pharmaceutical industry

Cited by 9 publications

References 2 publications

Future of Pharmaceutical Industry: Role of Artificial Intelligence, Automation and Robotics

Future of Pharmaceutical Industry: Role of Artificial Intelligence, Automation and Robotics

Internet of Things and Its Use in Business Entities of the World

Intelligent Sensors for Real-Time Decision-Making

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