Abstract
The aim of the work is to propose a universal multi-agent environment for resource management in the enterprise. The system being developed is to be useful for employees of various divisions of the company: device operators, engineering staff optimizing the production process and senior management. The paper describes the architecture of the solution, which has a layered structure. The environment uses advanced techniques of artificial intelligence, including machine learning and negotiation algorithms. In the evaluation part, an implementation of a pilot version of the foundry management system is presented and a study of selected test scenarios is carried out.
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Koźlak, J., Śnieżyński, B., Wilk-Kołodziejczyk, D., Kluska-Nawarecka, S., Jaśkowiec, K., Żabińska, M. (2018). Agent-Based Decision-Information System Supporting Effective Resource Management of Companies. In: Nguyen, N., Pimenidis, E., Khan, Z., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2018. Lecture Notes in Computer Science(), vol 11055. Springer, Cham. https://doi.org/10.1007/978-3-319-98443-8_28
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