Keywords: supply logistics, demand forecasting, parameter optimization, time series, applied information technology


The subject matter of the study is the processes of planning supply logistics taking into account swings in demand and prices for products. The goal is to develop models and applied information technology for managing enterprise supplies taking into consideration the unforeseen demand swings. The following tasks were solved:  a process model of supply logistics was developed, a model for forecasting demand for products was developed, a model for calculating the optimal volume of orders for various demand options was developed, the structure and modules of the applied information technology for supply logistics management was developed. The following methods were used: structural process models, methods for regression analysis and time series forecasting, inventory management models, STATISTICA software package, object-oriented programming methods. The following results were obtained: the generalized pattern of supply logistics was developed; the supplement of the first block of this pattern with the processes of marketing research of demand for products and planning supply volumes according to the forecasted demand and the probability of a shortage or surplus of products due to unforeseen swings in demand was substantiated; the application of the methods of regression analysis and forecasting of time series to assess the market factors of supply logistics was considered; the model for determining the optimal stock size was studied taking into account storage costs and probable shortages; the architecture of the applied information technology for planning supply logistics was developed; the proposed IT enables analyzing and predicting changes in the main market factors and, in accordance with the results obtained, solving inventory management tasks efficiently. In this case, the deficit and back-ordered demand can be taken into account. The operation of IT modules was illustrated by a test case. Conclusions. The use of IT is efficient in making decisions on logistics planning of business processes, as well as in analyzing the efficiency of logistics for a certain period of time. Further, the specified technology is going to be supplemented with the capabilities of solving inventory logistics problems.


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Author Biographies

Viktor Kosenko, State Enterprise "Kharkіv Scientific-Research Institute of Mechanical Engineering Technology"
Doctor of Sciences (Engineering), Associate Professor, Chief Executive Officer
Viktors Gopejenko, ISMA University
Doctor of Sciences (Engineering), Professor, Vice-Rector for Research Issue
Elena Persiyanova, State Enterprise "Southern National Design & Research Institute of Aerospace Industries"
Research Engineer


Moroz, O. V., Muzika, O. V., Bezsmertna, O. V. (2007), System factors of the efficiency of the logistic concept of supply at the enterprises : Monograph [Systemni faktory efektyvnosti lohistychnoyi kontseptsiyi postachannya na pidpryyemstvakh : Monohrafiya], Vinnytsya : UNIVERSUM Vinnytsia, 165 p.

Zhulvsky, A. Yu., Sidorenko, N. V. (2011), "Organization of material and technical support of the enterprise as an object of logistic decisions" ["Orhanizatsiya materialʹno-tekhnichnoho zabezpechennya pidpryyemstva yak ob'yekt lohistychnykh rishenʹ"], Visnyk Sumy State University, Series Economics, No. 2, P. 51–58.

Iastremska, O. (2018), "Logistics at an enterprise the peculiarities of procurement activities", Innovative Technologies and Scientific Solutions for Industries, No. 3 (5), P. 141–148. DOI:

Sumets, O. M. (2011), "Recommendations on introduction of synthetic accounting of logistics costs at the enterprise" ["Rekomendatsiyi shchodo zaprovadzhennya syntetychnoho obliku lohistychnykh vytrat na pidpryyemstvi"], Logistics: Problems and Solutions, No. 4 (35), P. 42–47.

Krykavsʹkyy, Ye. V. (2001), "Integration of marketing and logistics in the management system" ["Intehratsiya marketynhu i lohistyky v systemi menedzhmentu"], Bulletin of Lviv Polytechnic National University, No. 416: Logistics, P. 52–61.

Rosumna, N. V. (2011), "Actual questions of procurement marketing, planning of the needs of the material resources of the industrial enterprise" ["Aktualʹni pytannya marketynhu zakupivelʹ, planuvannya potreby materialʹnykh resursiv promyslovoho pidpryyemstva"], Marketing and Innovation Management, No. 2, P. 131–138.

Priyamak, O. Yu. (2007), "Methodical procedures of managerial accounting of inventory in logistics and enterprise management" ["Metodychni protsedury upravlinsʹkoho obliku vyrobnychykh zapasiv v lohistytsi ta upravlinni pidpryyemstvom"], Bulletin of Lviv Polytechnic National University, No. 594: Logistics, P. 141–148.

Yankovoi, A. G., Gura, O. L. (2009), "Improving enterprise planning with the help of math-statistical forecasting methods" ["Sovershenstvovaniye planirovaniya na predpriyatii s pomoshch'yu matematiko-statisticheskikh metodov prognozirovaniya"], Actual problems economics, No. 1 (91), P. 229–238.

Kosenko, V. (2018), "Decision support in planning investment projects", Innovative Technologies and Scientific Solutions for Industries, No. 4 (6), P. 113–119. DOI:

Kunitskaya, O. M., Merzhievskaya, Ye. V. (2009), "Stock management using modern logistics and marketing approaches" ["Upravlinnya zapasamy z vykorystannyam suchasnykh pidkhodiv lohistyky ta marketynhu"], Bulletin of Lviv Polytechnic National University, No. 649: Logistics, P. 193–197.

Improving inventory management with ABC and XYZ analysis, available at :

Filatov, V., Doskalenko, S. (2018), "On the approach to searching for functional dependences of data in relational systems", Innovative Technologies and Scientific Solutions for Industries, No. 1 (3), P. 54–58. DOI:

Description of the business processes of the warehouse network [Opisaniye biznes-protsessov sklada torgovoy seti], available at :

Ryzhikov, Yu. I. (2001), Queue theory and inventory management [Teoriya ocheredey i upravleniye zapasami], SPb. : Peter, 384 p.

Description of methods for optimizing inventory management [Opisaniye metodov optimizatsii upravleniya zapasami], available at :

Algorithm of the monthly forecast of the demand for the year ahead, taking into account the trend and seasonality [Algoritm pomesyachnogo prognoza sprosa na god vpered s uchetom trenda i sezonnosti], available at :

Kosenko, V. V., Ginevsky, M. I., Sidorenko, M. F. (2007), "Modeling of non-stationary random processes" ["Modelyuvannya nestatsionarnykh vypadkovykh protsesiv"], Information processing systems, No. 7 (47), P. 199–202.

The optimal period between shipments [Optimal'nyy period mezhdu postavkami], available at :

Malyeyeva, O. V., Elizeva, A. V. (2013), "System model and architecture of information technology supporting the procurement management of a manufacturing enterprise" ["Sistemnaya model' i arkhitektura informatsionnoy tekhnologii podderzhki protsessov upravleniya zakupkami proizvodstvennogo predpriyatiya"], Processing Systems Information, No. 2, P. 286–289.

Malyeyeva, О., Yelizyeva, A., Kosenko, N., Nevlyudova, V. (2018), "Information technologies of supporting decision-making on managing the procurement of a manufacturing enterprise", Innovative Technologies and Scientific Solutions for Industries, No. 3 (5), P. 57-66. DOI:

Malyeyeva O.V., Elizeva A.V. (2013), "Information technology of logistics procurement management taking into account the product life cycle" ["Informatsionnaya tekhnologiya logisticheskogo upravleniya zakupkami s uchetom zhiznennogo tsikla produktsii"], Radio and Computer Systems, No. 1, P. 119–126.

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