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This paper presents an approach to determine manufacturing technology imple
mentation scenarios as a function of time. The optimum paths from the point
of view of minimum investment or maximum recurring cost savings are determ
ined, and their advantages and disadvantages are discussed. The logic and t
he results of a software code created to determine these paths are describe
d. Hybrid scenarios that compromise between the two cases of minimum invest
ment and maximum recurring cost savings are also presented. The approach is
based on using a target optimum technology mix that yields the lowest recu
rring cost with a given probability. This target is determined assuming tha
t all candidate technologies are available immediately and are applicable o
ver the entire structure. Then, the applicability of the candidate technolo
gies as a function of time is determined, and the non-recurring cost associ
ated with process and product development is calculated as a function of ti
me. The applicability and non-recurring cost are used to generate time-depe
ndent implementation paths that reach the target technology mix with lowest
investment or maximum yearly recurring cost savings.