The use of Markov chains of kth row in computer management of transport in a supply chain

At present a supply chain poses quite a challenge. The paper presents one the methods supporting decision makers in a supply chain, namely a Markov chain of kth row. This theory constitutes an important part of the law of probability and it is also associated with soft calculation methods e.g. fuzzy sets. It may be applied in numerous fields e.g. physics, genetics, meteorology and technical disciplines. The Markov chain method may be used when assumptions about independence of events and random variables cannot be made. Thanks to this method social-economic phenomena may be predicted. These characteristics made the author attempt to create a model based on the Markov chains of kth row in a supply chain. The focus was on sales planning accounting for safety stocks planning and various characteristic of this supply chain.