Intelligent System for Optimal Planning of Distributed Polymer Materials Production
The article describes an intelligent system for solving the problem of scheduling distributed polymeric materials production. The problem of optimal distribution of orders among production lines is complex and requires a large number of calculations. Because of this, it is necessary not only to automate the search for the optimal solution, but also to apply more complex algorithms which requires the intelligent components of the system. The statement of the optimal planning problem is presented, which is reduced to the problem of constructing schedules for devices with parallel performers. The main optimality criteria include the time and cost of implementing the optimal plan. The constraints imposed on the solution of the problem, are given. The intelligent components of the system is described: mind maps of the optimal planning of polymeric materials production process, production data, optimization criteria library, optimal planning methods library and personnel involved in optimal planning; rules for reconfiguring of the production lines for new tasks to calculate the time and cost of production; an intelligent interface offering an optimal planning algorithm and its parameters depending on the dimension of the problem being solved and restrictions on the time of forming the optimal plan. The system was tested using data from polymer production at plants in Russia and Germany. The system allows to increase the efficiency of the production plan in terms of deadlines and cost of execution, and also to significantly reduce the time of searching for the optimal solution.
Authors
- Tamara B. Chistyakova (ORCID: https://orcid.org/0000-0002-0145-9679)
- Christian Kohlert (ORCID: https://orcid.org/0000-0003-3385-3678)
- Alexander Plekhanov (ORCID: https://orcid.org/0000-0001-9444-7302)
Institutions
- St. Petersburg State Technological Institute (RU)
Publication Details
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1109/summa64428.2024.10803816
- Primary Topic
- Manufacturing Process and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00