Simulation experiments of supply chain in a period of small and big disasters

Aim/purpose – The aim of this paper is to present a strategy that allows companies recover from disasters, when creating supply chain. Furthermore, it also shows the impact on company’s resources are used in implementation case small and big disasters. Thanks proposed solution, possible analyze each company individually, as well groups, at any given time. Design/methodology/approach results were obtained based numerical anal- ysis which was performed with use MATLAB software. tests carried out separately for five companies, them may expect disaster different day. However, selection day crises occur accordance probability determined by scientific research. Findings research showed using their can continue fulfill functions link Supply Chain despite fact they react differ- ently disasters compared ones. This difference occurs since disas- ters contrast ones appear every much more often. Consequently, difficult build wealth advantage approach one freely test cause least losses entire Research implications/limitations analysis wishing develop conditions unexpected cannot be predicted, should regularly increase assets because needed implement maintain an appropriate operational level. provides tools enable strategies variable parameters, during Originality/value/contribution presents graphical change value chain over year period. Such useful creates COVID-19 crisis period, unpredictable disaster. adoption Gaussian Pseudo Random Number Generator turned days while simula- tion studies allow us generate experiments data configurations. pa- per large separately, not presented literature. Keywords: chain, disaster, strategy, threats, simulations. JEL Classification: M21, D81, D84, C44