Objective
A competitive weapon for companies in process-intensive industries such as the chemical industry, is effective mastery of supply chain management from raw material to end product so as to improve efficiency, effectiveness, & profitability. However, in flow scheduling, the human operator can be overwhelmed by the complexity of the problem. CAP-SCHED involves developing a new intelligent scheduling system for companies in continuous/semi-continuous process industries. The innovative solution uses a multi-agent framework to combine 2 existing approaches which, individually, are inadequate to improve scheduling. However, combining both approaches offers significant improvements to implement more profitable solutions to scheduling problems, with better account taken of constraints. The 2 approaches are: 1. Simulation through trial & error: * The scheduler instructs the system to calculate all material flows in terms of quantity & quality from up- to down-stream throughout the plant; * If infeasibility occurs (e.g. capacity limitation…) then the planner readjusts parameters in trial & error mode to reach a feasible solution. and 2. Algorithmic constraint solving: * the problem is represented as a mathematical model & the system attempts a solution, helped by heuristic guesses so as to guide the search algorithm via domain knowledge. The new idea is to allow full interaction with the system via a Graphical User Interface as if running in simulation mode, & to translate instructions, when the value of an operating parameter (or the starting date of an event…) is fixed, in terms of constraints imposed in the mathematical model. Thus, the person responsible for scheduling can choose to fix variable values, and to let the system find those left free so as to reach a feasible solution. Overall, the solution will drastically reduce the need for multiple planning/scheduling loops so as to achieve a consistently optimised solution with improved profitability.
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.
- natural sciences computer and information sciences artificial intelligence heuristic programming
- natural sciences mathematics applied mathematics mathematical model
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-SME-2007-1
See other projects for this call
Funding Scheme
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.
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
75008 Paris
France
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.