
A Secure Block Chain Based Contract Manufacturing System for Pharma Industries Using Imperative Ant Loop Optimization Algorithm
Author(s) -
Arvind P. Bhanu Neha Saini,
Arvind P. Bhanu
Publication year - 2021
Publication title -
journal of pharmaceutical research international
Language(s) - English
Resource type - Journals
ISSN - 2456-9119
DOI - 10.9734/jpri/2021/v33i60b34761
Subject(s) - computer science , upload , encryption , supply chain , smart contract , order (exchange) , service (business) , work order , blockchain , manufacturing engineering , algorithm , business , computer security , marketing , finance , engineering , operating system
Manufacturers that work under contract for another firm may make their goods under their own brand or label. Using their own or their clients' designs, formulas, and needs as a guide, contract manufacturers perform this service. The pharmaceutical industry relies heavily on contract manufacturing. Due to a lack of capital, some companies are unable to obtain the required equipment for large-scale mass production of certain chemicals. In order to create the final product, they can work with a third-party chemical manufacturer to obtain the necessary chemicals and combine them with their own resources. An organization should carefully assess the benefits and drawbacks of contract manufacturing before committing to this strategy. There may be advantages to contract manufacturing, if the company works with the right service provider capable of delivering high-quality products. The contract manufacturing system proposed in this study is a blockchain-based solution for the pharmaceutical business. Initially, the customer uploads the order details that are preprocessed using normalization method. The preprocessed data is authenticated using the crypto smart contracts before being stored in the blockchain ledger. Then the stored data can be encrypted for security purpose by using the triple MD5 algorithm. Finally, the trust of the order data is evaluated using the proposed Imperative Ant loop optimization algorithm. In order to demonstrate the effectiveness of our system, we use the MATLAB simulation programme to compare it to other approaches.