e-space
Manchester Metropolitan University's Research Repository

    A secure multi-agent-based decision model using a consensus mechanism for intelligent manufacturing tasks

    Kara, Mostefa ORCID logoORCID: https://orcid.org/0000-0002-5736-8039, Laouid, Abdelkader ORCID logoORCID: https://orcid.org/0000-0002-8175-8467, Hammoudeh, Mohammad ORCID logoORCID: https://orcid.org/0000-0002-9735-2365, Karampidis, Konstantinos ORCID logoORCID: https://orcid.org/0000-0003-1643-8018, Papadourakis, Giorgos ORCID logoORCID: https://orcid.org/0000-0001-9090-9354 and Bounceur, Ahcène ORCID logoORCID: https://orcid.org/0000-0002-0043-7742 (2023) A secure multi-agent-based decision model using a consensus mechanism for intelligent manufacturing tasks. Engineering Proceedings, 56 (1). 234. ISSN 2673-4591

    [img]
    Preview
    Published Version
    Available under License Creative Commons Attribution.

    Download (342kB) | Preview

    Abstract

    Multi-agent systems (MASs) have gained a lot of interest recently, due to their ability to solve problems that are difficult or even impossible for an individual agent. However, an important procedure that needs attention in designing multi-agent systems, and consequently applications that utilize MASs, is achieving a fair agreement between the involved agents. Researchers try to prevent agreement manipulation by utilizing decentralized control and strategic voting. Moreover, emphasis is given to local decision making and perception of events occurring locally. This manuscript presents a novel secure decision-support algorithm in a multi-agent system that aims to ensure the system’s robustness and credibility. The proposed consensus-based model can be applied to production planning and control, supply chain management, and product design and development. The algorithm considers an open system; i.e., the number of agents present can be variable in each procedure. While a group of agents can make different decisions during a task, the algorithm chooses one of these decisions in a way that is logical, safe, efficient, fast, and is not influenced by factors that might affect production.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    20Downloads
    6 month trend
    13Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Repository staff only

    Edit record Edit record