Authors S.L. Belyakov, A.V. Bozhenyuk, M.L. Belyakova, A.A. Glushkov
Month, Year 09, 2016 @en
Index UDC 519.688
DOI 10.18522/2311-3103-2016-9-7181
Abstract The article is devoted to the development of a geographic information model for material flow management tasks. The model is used in the development of geographic information system, which is oriented to provide an information support of decision-making. Providing a given level of confidence is making specific requirements for this model. Existing methods of synthesis of geo-graphic information models are considered. Disadvantages of geographic information models are given for mapping. The main drawback is the static nature of spatial data describing the real envi-ronment. The models for decision support systems have the advantage of building a dynamic rep-resentations of spatial data, but do not provide a mechanism for rapid updating. The mismatch between the state of the real world and the model reduces the reliability of the results. Classification of known information models carried, five types of models are highlighted. All models are ranked in order of increasing complexity. The structures of information systems that implement each model type have been described. It was concluded that the GIS model of the fifth type is best suited to the task of taking significant decisions. Features of geographic information systems for the implementation of the model have been defined. They have shown the need for storage of the temporal dependencies and knowledge to handle the temporal representations of objects logistics systems. The paper describes the dynamic information model as a set of objects , where M – representation of material flows in a logistics network, Ω – set of map objects and the spatial relationships of cartographic database of geographic information system, R- binding logis-tics network a cartographic basis, Q- set of indicators of quality assessment procedures of material flow. The components of the model are detailed. Particular attention is paid to the temporal components. The study discusses the completeness property of the model as an opportunity to solve four important tasks of material flow management using the indicators of cost of supply, delivery dates, risk levels and the magnitudes of potential losses. The wording of each task is given, criteria and constraints are specified. The use of dynamic models will allow increasing the reliability of decisions by several times.

Download PDF

Keywords Informational support of decision-making; geographic information systems; geographic in-formation model; materials management.
References 1. Bronshtejn E.M., Kopylov I.E. Optimizacionnaya zadacha transportnoy logistiki s prostymi marshrutami dvizheniya [An optimization problem of transport logistics with a simple movement routes], Informacionnye tekhnologii [Information Technologies], 2015, No. 9 (21), pp. 662-665.
2. Ivanov, D.A. Upravlenie cepyami postavok [Supply Chain Management]. Sankt Petersburg: Izd-vo SPbGPU, 2009, 660 p.
3. Belyakov S.L., Bozhenyuk A.V., Ginis L.A., Gerasimenko E.M. Nechetkie metody upravleniya potokami v geoinformacionnykh sistemakh [Fuzzy methods of control by streams in geoin-formation systems], Taganrog: Izd-vo YuFU, 2013, 176 p.
4. Rozenberg I.N. Sputnikovye i geoinformacionnye tekhnologii v intel-lektual'nyh sistemah upravleniya [Satellite and information technologies in intelligent control systems], Zheleznodorozhnyy transport [Railway transport], 2013, No. 3, pp. 28-32.
5. Ivannikov A.L., Kulagin V.P., Tihonov A.N., Cvetkov V.YA. Geoinformatika [Geoinformatics], Moscow, Maks press, 2001, 352 p.
6. Kovalev S.M., Guda A.N., Butakova M.A. Gibridnaya stokhasticheskaya model' obnaruzheniya osobykh tipov patternov v temporal'nykh dannykh [A hybrid stochastic model detecting specific patterns in temporal data types], Vestnik Rostovskogo gosudarstvennogo universiteta putey soobshcheniya [Vestnik RGUPS], 2013, No 3. pp. 36-42.
7. Dulin S.K., Dulina N.G., Nikishin D.A. Osobennosti modeley geodannykh i metodov ikh obrabotki v aspekte obespecheniya semanticheskoy geointero-perabel'nosti [Features of these models and methods of their processing in the aspect semantic geointeroperability], Infor-macionnye tekhnologii [Information Technologies], 2015, Vol. 21, No 3, pp. 224-235.
8. Pettit, C., Cartwright W., Bishop I., Lowell K.. Puller D., Duncan D. Landscape Analysis and Visualisation, Spatial Models for Natural Resource Management and Planning. Berlin: Springer-Verlag, 2008.
9. Jacek Malczewski GIS-based land-use suitability analysis: a critical overview, Progress in Planning, 2004, Vol. 62, pp. 3-65.
10. Keim D.A. Information visualization and visual data mining, IEEE Transactions on Visualiza-tion and Computer Graphics, 2002, Vol. 8, pp. 1-8.
11. Chaowei Yang, Min Sun, Kai Liu, Qunying Huang, Zhenlong Li, Zhipeng Gui, Yunfeng Jiang, Jizhe Xia, Manzhu Yu, Chen Xu, Peter Lostritto, Nanying Zhou Contemporary Com-puting Technologies for Processing Big Spatiotemporal Data, Space-Time Integration in Ge-ography and GIScience, 2015, pp. 327-351.
12. Michael F. Goodchild, Linna Li. Assuring the quality of volunteered geographic information, Spatial Statistics, 2012, Vol. 1, pp. 110-120.
13. Belyakov S.L., Belyakova M.L., Samojlov D.S. Geoinformacionnyj servis situacionnogo centra [Geoinformation service of situational center], Informacionnye tekhnologii [Information Technologies], 2011, No 8, pp. 29-32.
14. Belyakov S.L., Rozenberg I.N. Programmnye intellektual'nye obolochki geoinformacionnyh system [Software smart shell of geographic information systems], Nauchnyy mir [Scientific World Publishing House], 2010, 132 p.
15. Cheremisina E.N., Spivak I.L., Spivak L.F., Sokolov A.S. GIS-tekhnologii sravneniya kart i upravleniya razvitiem territorii [GIS technology comparison cards and management devel-opment], Geoinformatika [Geoinformatics], 2014, No 4, pp. 29-37.
17. Belyakov S.L., Didenko D.A., Samojlov D.S. Adaptivnaya procedura upravleniya pred-stavleniem rabochey oblasti elektronnoy karty [An adaptive procedure for controlling the view map workspace] Izvestiya YUFU. Tekhnicheskie nauki [Izvestiya SFedU. Engineering Sciences], 2011, No. 1 (114), pp.125-130.
18. Available at:
19. Available at:
20. Available at:
21. Available at:
22. Available at:
23. Available at:
24. Available at:
25. Belyakov S.L., Belyakova M.L., Savel'eva M.N Obraznaya model' predstavleniya opyta prinyatiya resheniy s pomoshch'yu geoinformacionnykh sistem [Shaped model representation of the experience of decision making using geographic information systems] Geoinformatika [Geoinformatics], 2014, No 4, pp. 23-28.
26. Bershtein L.S., Belyakov S.L., Bozhenyuk A.V., Rozenberg I.N. Routing in the conditions of uncertainty with the use of fuzzy temporal graphs, Life Sci J., 2014, No. 11 (7s), pp. 182-186.
27. Bershtein L.S., Bozhenyuk A.V. Fuzzy Coloring and Evaluation of the Degree of Isomorphism of Fuzzy Graphs, Journal of Computer and Systems Sciences International, 2002, Vol. 41, No. 3, pp. 447-453.
28. Belyakov S.L., Bozhenyuk A.V., Belykova M.L., Rozenberg I.N. Model of Intellectual Visuali-zation Of Geoinformation Service, Proceedings 28th European Conference on Modelling and Simulation. Breshia, 2014, pp. 326-332.

Comments are closed.