Abstract
The paper aims to deal with the reallocating supply problem that result from the order promising process under overproduction. To this end, we develop a competitive distribution model to facilitate decision-making for order managers and to provide an intelligent support tool. The basis of the distribution model structure is a non-linear constrained optimization program that intends to minimize the costs of competing suppliers in case of an overproduction strategy. We obtain explicit conditions for orders relocation under affine delivery costs. An explicit form of conditions on the current delivery pattern will allow one to develop intelligent tools for decision-making support in the field of order management.
The work was supported by a grant from the Russian Science Foundation (No. 19-71-10012 Multi-agent systems development for automatic remote control of traffic flows in congested urban road networks).
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Krylatov, A., Lonyagina, Y., Raevskaya, A. (2022). Competitive Supply Allocation in a Distribution Network Under Overproduction. In: Simos, D.E., Rasskazova, V.A., Archetti, F., Kotsireas, I.S., Pardalos, P.M. (eds) Learning and Intelligent Optimization. LION 2022. Lecture Notes in Computer Science, vol 13621. Springer, Cham. https://doi.org/10.1007/978-3-031-24866-5_17
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