Designing a multi-objective trust-based service allocation and task scheduling model in blockchain-enabled cloud manufacturing Academic Article in Scopus uri icon

abstract

  • In recent years, cloud manufacturing (CMg) has emerged as a transformative paradigm within Industry 4.0, emphasizing the crucial role of efficient service allocation and task scheduling in decentralized systems. In this system, it is important to focus on building and maintaining customer trust through secure planning models due to the virtual nature of the system. Accordingly, this study proposes a novel service allocation and task scheduling problem in a blockchain-enabled CMg. In this model, customer trust is evaluated based on the quality of allocated services and blockchain-related factors to ensure that customer expectations are met in a secure environment. Three well-known metaheuristic algorithms are employed to address the proposed model due to the NP-hardness of the model. Moreover, a hybrid multi-criteria decision-making method is utilized to identify the algorithm with superior performance. Results indicate that the Multi-Objective Gray Wolf Optimizer (MOGWO) algorithm outperforms others, especially for medium- and large-sized problems. Furthermore, a comparison of the dispatching rule-based decoding process utilized with those generated by other rules shows that the applied method outperforms the others. It achieves approximately a 10% overall average improvement in the hypervolume compared to random sequencing. Finally, sensitivity analyses are performed, and managerial insights are offered. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.

publication date

  • October 1, 2025