A Secure Multi-Agent-Based Decision Model Using a Consensus Mechanism for Intelligent Manufacturing Tasks
Mostafa Kara, Abdelkader Laouid, Mohammad Ali A. Hammoudeh, Konstantinos Κarampidis, Giorgos M. Papadourakis, Ahcène Bounceur
Abstract
Abstract Accord is an important operation in the mechanism design for multi-agent systems and consequently to applications built for these environments , such as ad hoc networks, virtual organizations, and decision-support tools for smart production systems. Much attention has been given to designing the process for resisting manipulation by strategic voting and decentralized control. The emphasis is on local decision-making based on locally available information and perception of events occurring locally. This manuscript presents a secure decision-support algorithm in a multi-agent system. The proposed consensus-based model serves multiple purposes in production planning and control, supply chain management , and product design and development. In particular, we describe decision-making, the selection of a leader, and the exploitation of limited resources. The importance of the proposal is to ensure robustness in a specific way; in which, decisions are carried out considering that the system is open, which means that the number of agents present is variable at each process. Our model is based on that a group of agents makes different decisions in a task, then the algorithm chooses one of these decisions logically, safe, efficient, and fast and stays away from emotional decisions even in dealing with the decisions of others that affect production.
Details
| Original language | English |
|---|---|
| DOI | 10.21203/rs.3.rs-2107429/v1 |
| Publication status | Published — 30 September 2022 |
Keywords
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- Distributed Control Multi-Agent Systems
- Multi-Agent Systems and Negotiation
- Multi-Criteria Decision Making
- multi-agent systems
- consensus algorithms
- decision support
- production planning and control
- supply chain management
- leadership selection
- resource allocation
- strategic voting
- Computer Networks and Communications
- Artificial Intelligence
- Management Science and Operations Research
- Computer Science
- Decision Sciences