Agrawal Divyansh, Minocha Sachin, Namasudra Suyel, Gandomi Amir H
School of Computing Science and Engineering, Galgotias University, Uttar Pradesh, India.
School of Computing Science and Engineering, Galgotias University, Uttar Pradesh, India; Department of Computer Science and Engineering, Sant Longowal Institute of Engineering and Technology, Punjab, India.
Comput Biol Med. 2022 Jan;140:105100. doi: 10.1016/j.compbiomed.2021.105100. Epub 2021 Dec 2.
Drug recall is a critical issue for manufacturing companies, as a manufacturer might face criticism and severe business downfall due to a defective drug. A defective drug is a highly detrimental issue, as it can cost several lives. Therefore, recalling the drug becomes one of the most sensitive issues in the pharmaceutical industry. This paper presents a blockchain-enabled network that allows manufacturers to effectively monitor a drug while in the supply chain with improved security and transparency throughout the process. The study also tries to minimize the cost and time sustained by the manufacturing company to transfer the drug to the end-user by proposing forward and backward supply chain mathematical models. Specifically, the forward chain model supports drug delivery from the manufacturer to the end-user in less time with a reliable transport mode. The backward supply chain model explicitly focuses on reducing the extra time and cost incurred to the manufacturer in pursuit of recalling the defective drug. Moreover, a real-time implementation of the proposed blockchain-enabled supply chain management system using the Hyperledger Composer is done to demonstrate the transparency of the process.
药品召回对制造公司来说是一个关键问题，因为制造商可能会因药品缺陷而面临批评和严重的业务下滑。有缺陷的药品是一个极其有害的问题，因为它可能会导致数人死亡。因此，召回药品成为制药行业最敏感的问题之一。本文提出了一个基于区块链的网络，该网络允许制造商在供应链中有效地监控药品，并在整个过程中提高安全性和透明度。该研究还试图通过提出正向和反向供应链数学模型，将制造公司将药品转移到最终用户所花费的成本和时间降至最低。具体而言，正向链模型支持以可靠的运输方式在更短的时间内将药品从制造商交付给最终用户。反向供应链模型明确专注于减少制造商在召回有缺陷药品时所产生的额外时间和成本。此外，使用Hyperledger Composer对所提出的基于区块链的供应链管理系统进行了实时实施，以展示该过程的透明度。
