We consider the classic equipment replacement problem under Markovian
deterioration with the additional feature that the replacement technol
ogy is subject to change via a breakthrough. First, we examine the int
eraction between deterioration and technological change and derive som
e general properties regarding this relationship that can be used to r
ule out some suboptimal actions. Next, we show that although the possi
bility of a breakthrough does act as inducement to keep the existing t
echnology longer in certain circumstances, this is not generally the c
ase. Finally, we present an algorithmic forecast horizon approach to d
etermining whether or not to keep the present piece of equipment that
makes use of a finite amount of future forecasted data. We demonstrate
that our approach, which is specifically designed for this problem, i
s both simple to implement and more ''efficient'' than existing genera
l purpose approaches, in the sense that the forecast horizons generate
d are shorter.