is the requirement incoming randomly and individually to the system in a certain time interval with a value “t”. However, the activity of the whole system, in addition to the arrivals of requirements, is determined by the time interval (period) of their operation and subsequent departure from the system as well. Therefore, the status of the system can theoretically be characterized by the number of requirements “X(t)”, which are in the system at the time “t”, whether they are operated by the channels (the transhipment handling equipment in our case), or waiting for the operation in the queue [2]. If we consider the random arrivals and random operation period, then “X (t)” is the random variable for the firm “t” and the activity of the whole queuing system characterizes the random process “{X(t) / t ≥ 0}”. For the particular realization of this process, the function “ X u ” randomly acquires the entire non-negative values so how the requests arrive and depart randomly. Addiction of random variable “X (t)” from the values of previous random variables can be expressed by the conditional probability in the form: This paper presents the results of investigation of the possibilities for creating the internal circuit for the handling and moving the containers on the territory of intermodal transport terminal. It utilizes the theoretical knowledge from the investigation of queuing systems and the theory of stochastic processes.
No takes yet. Share an insight, caveat, or question.
Šulgan et al. (2016) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: