Energy-Aware hybrid production SYstem RESCHEDuling – EasyRESCHED
Energy-Aware hybrid production SYstem RESCHEDuling
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Challenges and objectives
Today, some industrial facilities don't just produce goods. They also generate their own energy, a trend that is expected to increase in the future. These companies use a variety of energy sources, including renewable energy suppliers, which are characterized by uncertain and fluctuating production. This leads to variations in energy availability depending on the sources used. In the digital framework of the factory of the future, factories connected to microgrid networks are equipped with specific hybrid cyber-physical production systems (HCPPS). Microgrid networks are structured to integrate a control system capable of predicting behavior. However, currently, this digital layer is primarily designed to ensure real-time resilience of the energy network. This is where EasyRESCHED comes in. It offers an adaptive decision-making strategy for managing HCPPS, allowing for responses to unforeseen variations such as fluctuations in energy availability or tariff changes, as well as equipment failures. Using a multi-agent approach, the project aims to enable companies to adjust their energy consumption according to supply forecasts, thanks to a multi-objective rescheduling technique that develops energy-efficient responses to contingent changes.
In a future where the local energy market will be characterized by the presence of multiple actors, with each industry having the capacity to produce, consume, store, buy and sell energy simultaneously, the EasyRESCHED project will contribute to firstly defining the multi-agent architecture needed to design the digital layer of Hybrid Cyber-Physical Production Systems (HCPPS), thus facilitating the efficient management of these actors. Negotiation, collaboration and cooperation protocols will be proposed to enable efficient energy decision-making. In a second step, the project will propose a multi-objective collaborative rescheduling method, adjusting production plans according to variations in energy availability, energy prices, machine breakdowns, etc. Unlike traditional rescheduling methods based on static data and predefined indicators, this approach will be dynamically reconfigured based on the results from the negotiation mechanisms used in the first step. The project team plans to leverage the communication capabilities of HCPPS cyber-layer agents to analyze data collected from physical components and thus adjust the parameters and objectives of its rescheduling method. To validate this approach, a virtual demonstrator and a physical demonstrator will be built.
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Ben Haj Mouldi, A.; Nouiri, M. Integrated Genetic Algorithm with Dispatching Rules to solve the Flexible Job Shop Scheduling Problem under Multi-AMR Transportation Constraints, 18th IFAC Symposium on Information Control Problems in Manufacturing. 28-30 August 2024. Vienna, Austria.
Nouiri, M.; Trentesaux, D.; Bekrar, A. Towards energy efficient scheduling of manufacturing systems through collaboration between cyber-physical production and energy systems. Energies. 2019, 12(23), 4448.
Nouiri, M.; Trentesaux, D.; Bekrar, A.; Giret, A.; Salido, M.-A. Cooperation Between Smart Manufacturing Scheduling Systems and Energy Providers: A Multi-agent Perspective. In: Borangiu, T., Trentesaux, D., Thomas, A., Cavalieri, S. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. SOHOMA 2018. Studies in Computational Intelligence. 2019, vol 803. Springer, Cham.
Nouiri, M.; Bekrar, A.; Trentesaux, D. An energy-efficient scheduling and rescheduling method for production and logistics systems. International Journal of Production Research. 2020, 58(11), 3263-3283.
Manufacturing production facilities being a customer of energy production are known by their intensive energy consumption. From another side, some factories already produce not only goods but also their own energy, and this situation tends to amplify in the future. Nowadays, in addition to common energetic resources, companies are connected to different providers of renewable energy. It is noteworthy to mention that the renewable energy systems are characterized by uncertainty and variability of the net load, which involves changes of the available power along time, depending on the changing source (i.e., wind speed or solar irradiance).
For that reason, the project aims to provide an approach to control those permanent changes in the production systems (fluctuation in energy availability, changes of energy prices, but also machine breakdowns, new job arrivals, variation in processing time, etc.). If rescheduling is a classical repair procedure used to find a new feasible solution reactively, most of existing methods are based on static predetermined input data and predetermined efficiency and effectiveness indicators. Cyber physical production system (CPPS) on the other hand is a widely spread paradigm in literature of adaptive control architectures.
This project will focus on designing a cyber physical architecture to achieve energy efficient control of an “hybrid CPPS”, able to produce both goods and energy, and possessing its own storage facilities. It consists first to develop a multi agent architecture to support negotiation and collaboration mechanisms. Second, a collaborative rescheduling method with different implementations will be proposed to provide efficient and effective solutions. The rescheduling method will be configured with the output found through the negotiation mechanisms found by the first step (the configured input data, the selected mono/multi objectives criteria).
Project coordination
Maroua NOUIRI (Laboratoire des Sciences du Numérique de Nantes)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
Partnership
LS2N Laboratoire des Sciences du Numérique de Nantes
Help of the ANR 234,605 euros
Beginning and duration of the scientific project:
October 2023
- 48 Months
