— A finite-state, discrete-time Markovian décision process, in which, each action in each state is a feasible solution to a state dependent assignment problème is considered, The objective is to maximize the additive rewards realized by the assignments over an infinité time horizon. In the undiscounted case, the average gain per transition and in the discounted case, the discounted total gain r...

We introduce a new approach to distribution fitting, called Decision on Beliefs (DOB). The objective is to identify the probability distribution function (PDF) of a random variable X with the greatest possible confidence. It is known that f X is a member of = { , , }. 1 m S f L f To reach this goal and select X f from this set, we utilize stochastic dynamic programming and formulate this proble...

This paper studies a single-stage production system, two-stage production system where specification limits are designed for inspection. When quality characteristics fall below a lower threshold or above an upper threshold, a decision is made to rework or scrap the item. The target is to determine the optimum target for a process based on rework or scrap costs. In contrast to previous studies, ...