An innovative approach for resource sharing and scheduling in a sustainable distributed manufacturing system

【Author】 Ramakurthi, Veerababu; Manupati, V. K.; Machado, Jose; Varela, Leonilde; Babu, Suresh

【Source】ADVANCED ENGINEERING INFORMATICS

【影响因子】7.862

【Abstract】Secure, transparent, and sustainable distributed manufacturing system (DMS) is a pressing need for current Industry 4.0. In this paper, exchange of highly sensitive information in a more transparent and secure way and to avoid the misunderstandings and trust issues between the enterprises a smart contract based on blockchain technology has been proposed in case of a distributed manufacturing environment. Here, we used a public permission less Ethereum platform to execute the smart contracts in the Blockchain to process the customer orders and to identify the right enterprise. Later, a multi-objective mixed-integer linear programming (MILP) model is formulated for optimal resource sharing and scheduling in a considered sustainable DMS. The objectives of the proposed model consist of simultaneously improvement of the performance measures such as makespan, machine utilization, energy consumption, and reliability. To solve this MILP model, a new Multi-objective-based Hybridized Moth Flame Evolutionary Optimization Algorithm (HMFEO) is developed and then the effectiveness of the proposed algorithm is validated with the Non-dominated Sorting Genetic Algorithm (NSGA-III). The results obtained from implementing the model using experimental data along with different cases show the efficiency and the validity of the proposed model and solution approach. Moreover, several performance indicators like hyper volume are increased by nearly 15-20 % that shows the superiority of the proposed algorithm with the NSGA-III.

【Keywords】Blockchain technology; Network-based distributed manufacturing  systems; Moth flame evolutionary optimization  algorithm; Smart contract; Ethereum

【发表时间】2022 APR

【收录时间】2022-06-03

【文献类型】实证性文章

【主题类别】

区块链技术-核心技术-智能合约