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Preliminary project of anylogic software for simulation of logistics processes for the enterprise X

Siui D.

Zeszyty Naukowe. Elektryka / Politechnika Opolska

2017

z. 75

83--85

The scope of the research includes selecting an enterprise and identification of logistics process. The next step was to characterize the logistic process with the possibility of implementation in computer software Anylogic by using GIS-maps module which creates the model of process with possibility of locating of map and exact location. The subject of this research is logistics proccess which is simulated in Anylogic Software. The research data was gotten directly from the enterprise during 3-months internship.

Land Sensitivity Analysis of Degradation using MEDALUS model : Case Study of Deliblato Sands, Serbia

Kadović R., Bohajar Y. A. M., Perović V., Simić S. B., Todosijević M., Tošić S., Anđelić M., Mlađan D., Dovezenski U.

Archives of Environmental Protection

2016

Vol. 42, no. 4

114--124

This paper studies the assessment of sensitivity to land degradation of Deliblato sands (the northern part of Serbia), as a special nature reserve. Sandy soils of Deliblato sands are highly sensitive to degradation (given their fragility), while the system of land use is regulated according to the law, consisting of three zones under protection. Based on the MEDALUS approach and the characteristics of the study area, four main factors were considered for evaluation: soil, climate, vegetation and management. Several indicators affecting the quality of each factor were identified. Each indicator was quantified according to its quality and given a weighting of between 1.0 and 2.0. ArcGIS 9 was utilized to analyze and prepare the layers of quality maps, using the geometric mean to integrate the individual indicator map. In turn, the geometric mean of all four quality indices was used to generate sensitivity of land degradation status map. Results showed that 56.26% of the area is classified as critical; 43.18% as fragile; 0.55% as potentially affected and 0.01% as not affected by degradation. The values of vegetation quality index, expressed as coverage, diversity of vegetation functions and management policy during the protection regime are clearly represented through correlation coefficient (0.87 and 0.47).