Discover
MaaSAI
Agile Manufacturing as a Service
through AI Autonomous Agents
The MaaSAI project aims to revolutionise the manufacturing process by facilitating access to a Manufacturing as a Service (MaaS) business model.
MaaSAI aims to reduce the heavy investments to set up and maintain operations by enabling on-demand manufacturing through the use of autonomous agents. This agents negotiate the use of manufacturing capacities between providers and consumers dynamically.
Goals &
benefits
Reduce investment costs
Allow manufacturers to access production capabilities without heavy upfront investments, while optimizing resource utilization through a shared economy model
Improve Sustainability
By creating conscious manufacturing processes that reduce waste and optimize resources, while supporting the transition to circular manufacturing practices.
Enhanced Collaboration
By enabling seamless real-time data exchange between companies, dramatically improving response times and strengthening integration across the entire manufacturing value chain.
Advance AI Integration
By leveraging Explainable Artificial Intelligence to automate operations and negotiations between providers and consumers, making complex manufacturing decisions transparent.
Enhanced Production Flexibility
Allow manufacturers to access production capabilities without heavy upfront investments, while optimizing resource utilization through a shared economy model
Use cases
Discover how MaaSAI is transforming manufacturing across diverse sectors
Metal Parts Manufacturing
Smart autonomous cells for precision metal machining
Valencia - Spain
Precision Gears Production
Optimizing complex gear manufacturing processes
Tampere - Finland
Latest news
Kick-Off Meeting
On December 18th, the MaaSAI project was officially launched with its inaugural kick-off meeting organized by CERTH in Thessaloniki. This event marked the beginning of a three-year journey involving 20
Solutions
Smart Planning & Operations
MaaS Consumer Planner (MCP)
The MaaS Consumer Planner (MCP) integrated with the MaaS Supply Chain Simulator (SCS) creates a comprehensive decision-making environment for manufacturing service utilization. This integration enables thorough evaluation of manufacturing scenarios, comparison of production alternatives, and optimization of multi-phase manufacturing processes across different providers.
MaaS Provider Planner (MPP)
The MaaS Provider Planner (MPP) functions as the orchestration center for manufacturing resources, enabling optimal allocation of manufacturing capabilities, intelligent capacity management, and streamlined service delivery across multiple concurrent operations.
Smart Automation
MaaS Consumer Agent (MCA)
The MCA automates collaborations in MaaS scenarios, acting for MaaS Consumers, it communicates autonomously with the MPA, ensuring precise matches for manufacturing resource rental based on quality, quantity, and timeline.
MaaS Provider Agent (MPA)
The MPA automates collaborations in MaaS scenarios for MaaS Providers, it communicates autonomously with the MCA, receiving the manufacturing resources capacity demands and answering with deadlines and costs, negotiating until an agreement is reached
Cloud & Marketplace Solutions
Cloud MaaS Marketplace (CMM)
The CMM is a cloud-based ecosystem that aims to facilitate access to manufacturing resources (equipment, data, software, etc.) offered as services by distributed providers and that leverages manifold ICT solutions that enable the technical and business interactions among MaaS Consumers and MaaS Providers.
MaaS Collaboration Hub (MCH)
The MCH is a cloud component for seamless collaboration between MaaS providers and MaaS consumers, which streamlines MaaS processes, improves decision making, and provides secure messaging, task management, file sharing and virtual meetings, thus improving the efficiency and effectiveness of MaaS operations
MaaS Dynamic Catalogue (MDC)
The MDC includes a dynamically updated Ontology model that describes the MaaS systems (Service Providers and Service Consumers). This model will support the users of the MaaSAI solution in searching the providers and consumers. The MDC efficiently manages MaaS network data, using an Ontology model, integrating a dynamic MaaS Providers and MaaS Consumers directory with web integration for enhanced knowledge sharing.
Recommendation System (RS)
The RS is designed to deliver data-driven insights for optimised efficiency. The RS use cutting-edge recommendation algorithms, based on xAI and generative AI, to provide MaaS Consumers with the most accurate advice on the MaaS resources they are looking for.
Monitoring & Analytics
Control Panels (CP)
The MCA automates collaborations in MaaS scenarios, acting for MaaS Consumers, it communicates autonomously with the MPA, ensuring precise matches for manufacturing resource rental based on quality, quantity, and timeline.
Data Analytics (DA)
The MCA automates collaborations in MaaS scenarios, acting for MaaS Consumers, it communicates autonomously with the MPA, ensuring precise matches for manufacturing resource rental based on quality, quantity, and timeline.
Remote Monitoring and Control (RMC)
The MCA automates collaborations in MaaS scenarios, acting for MaaS Consumers, it communicates autonomously with the MPA, ensuring precise matches for manufacturing resource rental based on quality, quantity, and timeline.
Planning, Design & Asessment
Digital Twins Designer (DTD)
The DTD is an advanced and easy-to-use designer of digital twins of manufacturing resources, enabling enhanced planning, simulation, and real-time monitoring for optimised production processes.
LCA-LCC Toolkit (LCT)
The LCT is a cutting-edge toolkit for environmental impact assessment in MaaS, which involves the application of machine learning algorithms for enhancing decision-making, offering interactive dashboards for process optimisation and supporting sustainable product design, procurement, and strategies.
MaaS Workspace Configurator (MWC)
The MWC assists MaaS Providers by offering workspace reconfiguration services, including tool and equipment allocation, resource management, and optimising layout based on both the provider’s assets and the consumer’s requirements. The MWC streamlines workspace setup and considers shared resources among work cells.
MaaS Supply Chain Simulator (SCS)
The SCS allows MaaS Consumers to evaluate and optimise the flow of goods, information and money using a Data-Driven Simulation models to compare different scenarios with multiple MaaS Providers and determine the most efficient or practical course of action in terms of inventory, transportation modes, warehousing, manufacturing, procurement, distribution and customer service.
Predictive Maintenance Toolkit (PMT)
The PMT empowers MaaS Providers to optimise manufacturing resource maintenance by predicting optimal maintenance timings using IoT and ERP/MES data, leading to uninterrupted, efficient operations and enhanced productivity.
Repair-Reuse- Recycle Toolkit (R3T)
The R3T models and optimises repair, reuse, and recycling processes, predicting outcomes through probabilistic relationships. Aimed at reducing environmental impact, R3T aids MaaS Providers in identifying optimal scenarios balancing economic and ecological factors.
Smart Contracts Toolkit (SCT)
The SCT is a sophisticated toolkit leveraging blockchain for secure and transparent smart contracts. It enables agreements between MaaS Providers and MaaS Consumers, clearly defining terms, duration, and conditions, while incorporating innovative pricing and financing.
Data & Infrastructure
Data Integrator (DI)
The DI facilitates information exchange between ERP/MES systems and the MaaSAI System using various integration mechanisms. It includes two control tools: integration control for managing integrations (scheduling, state monitoring, alerting) and data quality control for validating data (format, mandatory data, duplicates), ensuring high-quality data exchange.
Digital Industrial Passport Designer (DIP)
The DIP is an advanced designer to streamline manufacturing processes by creating digital passports that centralise, process, and manage vital data from various sources such as ML models, sensors, and operational files. The DIP is secure, user-friendly, and aims to improve interoperability and efficiency, thereby enhancing productivity in industrial settings.
EDGE Data Storage (DS)
The DS is a robust storage solution for the MaaSAI System, tailored for MaaS needs, ensuring reliable, accessible, and up-to-date data storage in various formats, enhancing clarity and efficiency between MaaS Providers and MaaS Consumers.
MaaS Blockchain (MSB)
The MSB is a blockchain network that ensures data integrity and provenance in MaaS ecosystems, guaranteeing immutable data lifecycle tracking, building trust among MaaS Providers and MaaS Consumers, and underpins smart contract executions.
Point-to-Point Secure Messaging (PSM)
PSM is the gateway that allows companies to communicate their data securely and trustable with other companies. The PSM delivers robust, cost-effective messaging with advanced authentication, authorisation, and encryption.
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