MULTIROBOT
What is Multirobot?
Discover the agent-based system for production management
Multirobot is an agent-based system that leverages the latest advancements in machine learning and artificial intelligence to offer far more than traditional MES and APS systems. With its ability to adapt, personalize, and continuously learn, our system can not only replace but also surpass the capabilities of conventional solutions.
INNOVATION MEETS EFFICIENCY
How does Multirobot work?
Machine learning in agent-based systems is a key element of modern production management, enabling the automation and optimization of decision-making processes. In a world where efficiency and the ability to rapidly adapt to changing market conditions are essential for success, the use of such technologies is not only desirable—it’s imperative. Multirobot plays this exact role by using machine learning outputs to make real-time, data-driven decisions.
Automation
By leveraging machine learning, Multirobot independently makes decisions based on the analysis of large data sets. This enables real-time optimization of production processes, resulting in increased operational efficiency.
Problem Prevention
Machine learning enables the prediction of future trends and potential issues, allowing for early detection and prevention. As a result, risk management becomes more precise and effective.
Personalization
Multirobot can tailor production processes to individual customer needs and respond quickly to market changes. This flexibility is crucial for maintaining a company’s competitiveness.
Cost Reduction
Automation and process optimization with Multirobot can lead to significant reductions in operational costs, both in the short and long term.
Innovation and Growth
The implementation of machine learning in agent-based systems fosters innovation by opening up new opportunities for companies to leverage data and technology in creating added value.
Competitive Advantage
The use of machine learning in managing manufacturing enterprises offers significant benefits in terms of efficiency, cost reduction, operational flexibility, and innovation—making it a key factor in gaining a competitive edge in the market.
DISCOVER THE KEY BENEFITS
What Will You Gain by Implementing Multirobot?
The introduction of agent-based systems into production planning within manufacturing enterprises brings a range of benefits that can significantly enhance the efficiency, flexibility, and innovativeness of production processes.
Here are the key advantages:
1. Flexibility and Adaptability
Agent-based systems are highly flexible, allowing for rapid adjustments to production plans in response to changing conditions such as fluctuations in demand, shifts in raw material availability, or equipment failures. This ensures continuity of production even in unstable environments.
2. Optimization of Production Processes
Agents are capable of analyzing large volumes of data to optimize production processes. This includes inventory management, production scheduling, internal logistics, and resource allocation — all of which contribute to increased efficiency and reduced costs.
3. Decentralization of the Decision-Making Process
In agent-based systems, decisions are made locally by individual agents, reducing the risk of downtime caused by centralized decision-making and enabling more effective responses to local conditions and disruptions.
4. Real-Time Disruption Response
Agent-based systems can dynamically respond to disruptions and failures by quickly adjusting production plans to minimize negative impacts.
5. Collaboration and Coordination
Agents can collaborate by sharing information and coordinating their actions, enabling more efficient management of complex production processes.
6. Integration with Innovative Technologies
Agent-based systems can be easily integrated with other modern technologies such as the Internet of Things (IoT), artificial intelligence, and machine learning, enabling even greater optimization and automation of processes.
7. Scalability
Agent-based systems are scalable, meaning they can be expanded and adapted to the growing needs of a company without requiring significant changes to the existing infrastructure.
8. Increased Competitive Advantage
The implementation of advanced technologies such as agent-based systems can serve as a source of competitive advantage in the market—particularly in terms of rapid response to changing market demands and the ability to deliver high-quality products.
INNOVATION
By choosing Multirobot, you’re choosing not just a technology—but the future of your enterprise. Our solution was designed for dynamically growing companies seeking innovative ways to enhance efficiency and competitiveness.
INTEGRATIONS
Integration with External Systems
Multirobot can be integrated with existing systems within the enterprise. The system includes an integration agent responsible for exchanging data with external systems. It is important to consider the following aspects:
- Technical Compatibility
- Modularity and Scalability
- Standards and Communication Protocols
- Vendor Support and Resource Availability
PLANNING AND MANAGEMENT
Who Is Multirobot For?
Multirobot is the ideal solution for companies operating in production systems such as:
- cellular manufacturing,
- line-based manufacturing,
- mixed-model manufacturing.
SYSTEM FOR MANUFACTURING
Replace Traditional APS and MES Systems
Traditional MES and APS systems are often limited in terms of flexibility and scalability. The Multirobot system, leveraging the latest advancements in machine learning and artificial intelligence, offers much more. With its ability to adapt, personalize, and continuously learn, our agent-based system can not only replace but also surpass the capabilities of conventional solutions.
OPINIONS
Hear from an Expert
Professor, you have often emphasized your preference for describing the transformation of our surrounding reality as a process—a series of interconnected actions. Today, with the growing interest in artificial intelligence, the question arises: can we say that the development of agent-based systems in production management is closely linked to advances in the field of artificial intelligence (AI)?
Yes, AI enables the processing and analysis of large data sets, which is essential for effective production management. Artificial intelligence allows selected decisions to be made automatically in real time, which increases process efficiency and reduces the need for human intervention.
At the same time, the agents that form such systems can communicate and collaborate with one another, and their interactions are often complex and multidimensional. These interactions can result in outcomes such as schedule alignment, resource price negotiation, or determining which resource (represented by local agents) will undertake a specific task. In this context, it’s worth noting that most “AI bots” are focused on communication with human users, rather than with other agents.
Can it then be said that agent-based systems in production management are a more complex and advanced form of artificial intelligence bots?
Yes and no. If AI bots are understood as generative AI agents we can “chat” with about the “feeling of a hammer in one’s hand” and its significance in Heidegger’s philosophy, then no. But if agents are autonomous software units capable of independently making certain decisions and responding to changing conditions in their environment (e.g., during a production process), then absolutely yes. In this context, agents can be equipped with selected machine learning capabilities, allowing them to adapt to evolving needs and optimize production processes.
In other words, appropriately chosen AI technologies enable agent systems to adapt to changing production conditions. Artificial intelligence also supports the optimization of production processes by improving efficiency and reducing waste.
Dr. habil. Marcin Paprzycki
Systems Research Institute of the Polish Academy of Sciences (PAN)