Petri nets have been among the most succinct models that can describe
the structure and dynamics of discrete event-driven systems. In this paper, a necessary
condition for a 1-safe Petri net generating all the binary n-vectors and the existence of
1-safe Petri nets which generate every binary n-vector as one of their marking vectors
exactly once in the smallest possible number of steps have been established.
In this paper, we consider the risk reserve process with Erlang type claims.
We make the model that the claim inter-arrival time has an exponential distribution
and the claim size has an Erlang distribution. For this model we obtain a general
formula that derives the non-ruin probability in finite time. In order to have an easy
calculation for the non-ruin probability we reduce the multi-summation to the singlesummation.
The purpose of the paper is to consider a necessary and sufficient constraint
qualification for local optimality conditions in DC programming problems with
convex inequality constraints. Also, we consider necessary and sufficient constraint
qualifications for local optimality conditions in fractional programming problems and
weakly convex programming problems.
A store with a bounded tank sells a random resource to customers arriving
according to the Poisson process. It reasonably has to be managed in a balance between
a fixed ordering cost and a proportional penalty cost. The store should lay down the
safety stock level so as to keep these losses as minimal as possible. Then he adopts an
ordering policy in which the tank is filled with resource when the stock level falls to
the safety stock level. We decide the optimal safety stock level so as to minimize the
expected cost per unit time in the infinite periods.