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A _Relative- relative consumption.

A_real real consumption.

A_max-maximum possible consumption.

A _serv (t₁, t ₂) = serviced supply of batch n in the interval of

time (t₁, t₂)

A_incoming. (t₁,t₂) — incoming supply goods for a period of time (t₁, t₂)

A_lost (t₁, t₂) – losses of demand on market during

time interval (t1, t2)

a – specific weight relative consumption

a (Engset formula) – mathematical expectation and intensity of the

batches of goods from a single source

c_i – average volume of one purchase (units) in one moment of time.

C_delay– average queue length (average number of detained batch of goods)

C_loss – losses requests;

C_request- received requests.

E_1,n (A) – value of loss for the consumer system, numerical table values for the first Erlang formula.

E_{2, n} (A) – value of loss for the consumer system, numerical table values for the second Erlang formula.

P _request, – losses in the number of requests received for supply of goods,

P _goods – the losses in volume of the goods,

P_t. – the losses the time of realization

p (γ> 0) — probability that the waiting time is greater than zero

p (γ> t) – probability that the waiting time of incoming batch of goods anymore t.

P_queue – probability of having a queue of at least one consignment, the probability of the queue n

p (R> r) – probability that a length of a queue is greater of given value r

t_consum-average duration of consumption for consumers

TGD. The time of greatest demand

α- parameter of the flow of batches of goods in a free state

β – duration of product consumption

γ‘- average waiting time for batch of goods incoming on the market.

γ ̅_delay — average waiting time of batch of goods the queue.

λ _{s (t)} -а parameter primitive flows