Objective
In the production industry, changes and uncertain market demands lead to important production and productivity losses, due to inappropriate scheduling of production process. This is particularly true in the case of batch process SME's which are often under-equipped to face such complex problems and are obliged to quickly adapt their production to the market in order to survive.
The objective of this consortium is to demonstrate that the technology deployed in the trial application BOLD is able to solve these scheduling problems at low cost and as a consequence allows for an increase in productivity gains and a reduction in product losses.
This demonstration will be reached through the industrialisation of a leading edge scheduling information solution prototype named MOPP, developed under RTD projects (EUROBATCH, JOULE programme, SECUNDO programme, PACE), and which has already shown in tests its ability to solve batch processing scheduling problems. The technology consists of the combined used of three basic programmed algorithms (probabilistic algorithm, heuristic algorithm and expert system algorithm) coming from mathematical models. The intelligent use of these algorithms in more than twenty compensation modules will permit to envisage and solve the majority of the possible problems which could occur in a production process in a short processing time.
The expected advantages are the following:
- high level of performance (short-time processing to give the optimised decisions, for scheduling and simulation of new solutions),
- low cost and easy use with regards to US products used in the batch process market,
- European origin, as the market is monopolised by such US solutions or generic solutions which provide scheduling, production management as well as accountancy functions and represent unacceptable investments for a SME,
- wide applicability to a variety of SMEs, in different sectors like textile, food, processing, chemical and electronics which are highly representative of the European manufacturing industry.
Industrial partners from five representative manufacturing sectors have been selected as partners to write the specifications for the graphical user interface and to be recipients of the deployment of the technology.
The following results in each of the targeted sectors:
- productivity gains between 10-30% in the production process of the related sector,
- related stock reductions,
- reduction of costs associated to scheduling activities,
- improvement of the delivery time to the customer and its satisfaction.
The interest of the BOLD project is also to reinforce the links and the synergy between two regions, Catalonia and Aquitaine.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology materials engineering textiles
- social sciences economics and business economics production economics productivity
- natural sciences computer and information sciences artificial intelligence expert systems
- natural sciences computer and information sciences artificial intelligence heuristic programming
- natural sciences mathematics applied mathematics mathematical model
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
08021 Barcelona
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.