Geodesic
Analysing the solution of production-inventory optimal control systems by neural networks
Pooya, Alireza1 ; Pakdaman, Morteza2
1 Department of Management, Ferdowsi University of Mashhad, Mashhad, Iran.
2 Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran.
RAIRO - Operations Research - Recherche Opérationnelle, Tome 51 (2017) no. 3, pp. 577-590

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In this paper, a general production-inventory optimal control system is proposed which can be used in most cases that might arise in the theory of production-inventory control. The proposed general form is considered and approximately solved using neural networks. Since the obtained solutions are achieved based on neural networks, they have several advantages in practice. One of the important advantages is that the solutions can be easily used for post optimality and sensitivity analyses. The solutions of this model are compared with those of other existing methods and some illustrating notes are presented.

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Accepté le :
DOI : 10.1051/ro/2016044
Classification : 49J15, 90B05, 90B30
Keywords: Optimal control, production planning, production-inventory systems, neural networks

Pooya, Alireza 1 ; Pakdaman, Morteza 2

1 Department of Management, Ferdowsi University of Mashhad, Mashhad, Iran.
2 Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran. 
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     title = {Analysing the solution of production-inventory optimal control systems by neural networks},
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Pooya, Alireza; Pakdaman, Morteza. Analysing the solution of production-inventory optimal control systems by neural networks. RAIRO - Operations Research - Recherche Opérationnelle, Tome 51 (2017) no. 3, pp. 577-590. doi: 10.1051/ro/2016044

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