Supply Sequence Modelling Using Hidden Markov Models

Logistics processes, their effective planning as well proper management and implementation are of key importance in an enterprise. This article analyzes the process supplying raw materials necessary for production tasks. The specificity examined waste processing company requires knowledge about size potential deliveries because delivered must be properly managed stored due to its toxicity natural environment. In article, hidden Markov models were used assess level supply. They a statistical modeling tool analyze predict phenomena sequence events. It is not always possible provide sufficiently reliable information with existing classical methods this regard. Therefore, proposes techniques help stochastic processes. models, system represented states that invisible observer but visible output (observation) random state function. distribution outputs from defined by polynomial distribution.