Markovian Decision Model에 의한 總括生産計劃의 最適政策

Optimal Policy of the Aggregate Production Planning by Markovian Decision Model

This paper studies the problem of optimal policy of the discrete-planning period, aggregate production planning in the job order production system with finite state space which is subject to one of three decisions at each planning horizon interval: overtime, regular time, Under time. The cost of overtime production, regular time production and undertime production cost are assumed dependent on the operation level state. When the state transition of operation level is followed Markov process at each planning horizon interval, decisions corresponding to each state can be chosen. Because of following any policy in order to choose action, we can define a policy to be any rule for choosing action.