Geodesic
Models of multiproduct inventory control with discrete non-deterministic non-stationary demand
Vestnik Tverskogo gosudarstvennogo universiteta. Seriâ Prikladnaâ matematika, no. 2 (2018), pp. 99-122 Cet article a éte moissonné depuis la source Math-Net.Ru

Voir la notice de l'article

In the paper described a model of multiproduct inventory control with discrete non-deterministic time-varying demand and fixed order period taking into account best before dates, shortages, cost of holding inventory, cost of funds and gap in purchase prices. Also, the model takes into account the multiplicity of delivery, the minimum possible order quantity in monetary units, delivery time of item, shipping cost and order processing. With the use of the developed model there is solved three tasks inventory management: calculating the optimal inventory, the choice of the optimal period of ordering, the selection of the best supplier. The numerical example of solving the problem of calculating the optimal inventory is described. All three models are implemented in a developed computer system for stocks control and optimization of trade enterprises Forecast NOW! The system is aimed at small and medium-sized commercial enterprises. It allows you to release funds in the amount of 20-30% of the volume of reserves and to increase the level of satisfied demand by 5-7%. This is achieved by accurate forecasting of inventory based on the optimum level of service for each item. Software implementation system support of inventory models discussed in Chapter 5.
Keywords: inventory management, inventory optimization, inventory management, demand forecasting, optimal service level, optimal inventory, optimal period of the order, the optimum supplier, level of service, software product. 
@article{VTPMK_2018_2_a5,
     author = {A. A. Gritsaj},
     title = {Models of multiproduct inventory control with discrete non-deterministic non-stationary demand},
     journal = {Vestnik Tverskogo gosudarstvennogo universiteta. Seri\^a Prikladna\^a matematika},
     pages = {99--122},
     year = {2018},
     number = {2},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VTPMK_2018_2_a5/}
}
TY  - JOUR
AU  - A. A. Gritsaj
TI  - Models of multiproduct inventory control with discrete non-deterministic non-stationary demand
JO  - Vestnik Tverskogo gosudarstvennogo universiteta. Seriâ Prikladnaâ matematika
PY  - 2018
SP  - 99
EP  - 122
IS  - 2
UR  - http://geodesic.mathdoc.fr/item/VTPMK_2018_2_a5/
LA  - ru
ID  - VTPMK_2018_2_a5
ER  - 
%0 Journal Article
%A A. A. Gritsaj
%T Models of multiproduct inventory control with discrete non-deterministic non-stationary demand
%J Vestnik Tverskogo gosudarstvennogo universiteta. Seriâ Prikladnaâ matematika
%D 2018
%P 99-122
%N 2
%U http://geodesic.mathdoc.fr/item/VTPMK_2018_2_a5/
%G ru
%F VTPMK_2018_2_a5
A. A. Gritsaj. Models of multiproduct inventory control with discrete non-deterministic non-stationary demand. Vestnik Tverskogo gosudarstvennogo universiteta. Seriâ Prikladnaâ matematika, no. 2 (2018), pp. 99-122. http://geodesic.mathdoc.fr/item/VTPMK_2018_2_a5/

[1] Brodetskij G. L., Inventory Management, Ehksmo Publ., Moscow, 2007, 352 pp. (in Russian)

[2] Uroven servisa, https://ru.wikipedia.org/wiki/Uroven_servisa

[3] Gadzhinskij A. M., Logistics, Dashkov i Ko Publ., Moscow, 2013, 420 pp. (in Russian)

[4] Gladkov L. A., Kurejchik V. V., Kurejchik V. M, Genetic Algorithms, 2nd edition, FIZMATLIT Publ., Moscow, 2006, 320 pp. (in Russian)

[5] Gritsay A. A. et al., The program of optimization of warehouse stocks Forecast NOW!, Certificate of state registration of the computer program no. 2012613236 dated 05.04.2012 (in Russian)

[6] Gritsay A. A., Varankin D. A., Inventory Management System Forecast NOW! Version 3.0, Certificate of state registration of the computer program no. 2013619454 dated 04.10.2013 (in Russian)

[7] Gritsay A. A., “Calculation of the optimal stock of goods of frequent demand using neural networks”, Proceedings of the III International Scientific and Practical Conference “Mathematics, Statistics and Information Technologies in Economics, Management and Education” (Tver, 04.06.2014) (in Russian)

[8] Khajkin S., Neural Networks. Full Course, 2nd edition, Williams Publ., Moscow, 2006, 114 pp. (in Russian)